Power Line Communication (PLC) use existing electrical infrastructure for data transmission but are susceptible to security threats such as spoofing and impersonation attacks due to their open nature. This paper proposes a novel Device Fingerprinting (DF) approach for device authentication in PLC systems. The approach leverages hardware-induced imperfections in signals transmitted over power lines to identify devices based on their physical-layer characteristics. We develop a methodology that converts raw In-Phase Quadrature (IQ) samples from PLC channels into images, enabling the use of Convolutional Neural Networks for device classification. Our approach demonstrates the feasibility of CNN-based DF in PLC environments using only physical-layer information from received signals. Our experimental validation uses 8 Software Defined Radios and 2 power line couplers in real-world PLC measurements. We evaluate multiple Convolutional Neural Network (CNN) architectures and demonstrate that the PLC device fingerprint consists of two components: radio-specific and coupler-specific characteristics. The results show classification accuracy exceeding 0.9 across different configurations, establishing the viability of DF-based authentication in PLC systems without requiring additional security layers.

This paper introduces a new frequency domain index modulation (FD-IM) technique for a general orthogonal frequency-division multiplexing (OFDM)-based communication system. The proposed technique has been designed to enhance both the spectral and the energy efficiencies of OFDM-based communication systems. In particular, we propose a novel coding scheme for the symbols to be transmitted that leverages the absence of transmission itself to encode a symbol. To the best of our knowledge, this is the first usage of such a coding scheme in the FD-IM OFDM domain. The expected benefits of the proposed solution are as follows: (i) It enhances the spectral efficiency, by increasing the total number of transmit bits for a given set of subcarriers; and, (ii) It improves the energy efficiency. To evaluate and compare the advantages of the proposed FD-IM technique with a baseline subcarrier-index modulated (SIM)-OFDM method, we first have derived the closed-form expressions of the energy gain and the transmit bit gain for both techniques, with respect to the equivalent standard modulation. The theoretical results show a significant enhancement in terms of improving both the spectral and the energy efficiencies of a general OFDM-based communication system. Moreover, we run an extensive experimental campaign to support our findings. Results are striking. For instance, with a binary phase-shift keying (BPSK) modulation, an energy gain of 57% and a transmit bit gain of 58% are experimentally observed. These promising results pave the way to improve the different extension versions of the SIM-OFDM technique that have been presented in the literature. Finally, we also pointed out some further applications of our proposed encoding to the general field of information processing.

Vehicle-to-Vehicle (V2V) communications are revolutionizing the connectivity of transportation systems, ensuring safe and efficient road mobility. To meet the growing bandwidth needs of V2V services, the use of millimeter-wave (mmWave) and WiFi frequency bands has been proposed as a promising solution. However, communications at these frequencies are a challenging task due to the severe path-loss especially in a high-blocked environment. In this paper, we present a comparative study between mmWave and WiFi communication systems. In particular, realistic stochastic geometry tools have been used to accurately model and describe a typical V2V communication systems, where vehicles are randomly located. Accordingly, we derive the corresponding Successful Transmission Probability (STP) and Average Throughput (AT) expressions for both communication systems. In addition, Monte Carlo simulations have been performed and presented to confirm the analytical results, and to investigate the advantages and disadvantages of the mmWaves and WiFi systems, in different scenarios.

Due to the broadcast nature of power line communication (PLC) channels, confidential information exchanged on the power grid is prone to malicious exploitation by any PLC device connected to the same power grid. To combat the ever-growing security threats, physical layer security (PLS) has been proposed as a viable safeguard or complement to existing security mechanisms. In this paper, the security analysis of a typical PLC adversary system model is investigated. In particular, we derive the expressions of the corresponding average secrecy capacity (ASC) and the secrecy outage probability (SOP) of the considered PLC system. In addition, numerical results are presented to validate the obtained analytical expressions and to assess the relevant PLS performances. The results show significant impacts of the transmission distances and the used carrier frequency on the overall transmission security.

In this paper, we investigate and evaluate the performances of a subcarrier-index modulation (SIM) technique within an orthogonal frequency division multiplexing (OFDM)-based narrow-band (NB)-power line communication (PLC) system. The SIM technique has been proposed and used mainly in wireless communications to enhance energy and spectral efficiencies. To evaluate the advantages of this technique in PLC, Monte Carlo simulations were performed using field measurements of PLC noise and channel frequency response (CFR). The results show significant advantages in terms of improving the overall system energy and spectral efficiencies, especially for single-level modulation. For instance, when using the SIM-OFDM technique, with a binary phase-shift keying (BPSK) modulation, an energy gain of 66.66% and a bit gain of 50%, with respect to the standard modulation, can be observed.

The widespread use of IoT devices and advances in communication technology have led to rapid development in building management systems. Considered one of the heaviest loads in commercial buildings, heating, ventilation, and air conditioning (HVAC) has been the focus of numerous studies. This paper proposes a novel approach to provide the optimal thermal sensor location for a large commercial building. The approach combines Computational Fluid Dynamics (CFD), network coverage, and clustering to establish a multi-step flow leading to the discovery of the optimal placements within the area of interest. The simulation results show that the combination of CFD and clustering can be very effective to identify potential candidates, which is then tuned using the coverage area of the network. Multiple scenarios were considered to simulate several environmental conditions, each of which leads to a different set of locations.

Power Line Communications (PLC) is a well-established technology that allows devices connected to the power line to communicate with each other. While the majority of research in this field is devoted to issues of availability, the topic of Denial of Service (DoS) attacks has not been sufficiently addressed. Typically, current solutions might detect a jammer when situated near the target devices, yet the equipment under jamming interference may face challenges in communicating an alarm. However, when these systems are placed at a significant distance from the jammer, the negligible impact of the jamming renders its detection hardly detectable. In this work, we propose a solution to identify the presence of a jammer in a PLC infrastructure even when deployed at a significant distance. We analyze the physical layer of the PLC link and adopt state-of-the-art Deep Learning techniques to detect jamming even at a distance where the jammer's effect is negligible, thus allowing the device to trigger an alarm. Considering a jammer featuring the same transmission power as legitimate devices, we prove that we can detect the presence of such a jammer with an overwhelming probability (higher than 0.99) even at a distance of 75 m from the source.

In this paper, we analyze a typical PLC system's data transmission security and reliability. In particular, we consider a passive adversary model–commonly assumed in the literature–and a friendly jamming technique to thwart the attacker. Overall, several contributions are provided: First, the most relevant PLS techniques in the literature are detailed, focusing on the applications, advantages, and disadvantages of each technique, as well as the related PLS performance analysis metrics. Then, we derive the expression of a novel PLC performance analysis metric: the secure and successful transmission probability (SSTP) of the considered PLC system model. Such a metric captures aspects that are not considered in the available ones, and we use it to analyze our use case, considering the adoption of a friendly jamming technique to thwart a passive eavesdropping attack. A complete analytical characterization of the introduced use case is provided. Finally, numerical results are presented to validate the obtained analytical expressions and to assess the relevant PLS and link reliability performances. The results show the significant impacts of the transmission distances, the used carrier frequency, and the jamming signal power on the overall quality of the achieved security and transmission performances. Other than being interesting on their own, these results also provide direct guidance on effectively tuning countermeasures against the considered adversary.

Noise measurement in power line communication (PLC) systems is a common activity performed by grid operators for network tuning operations. Usually, these measurements are carried out with portable devices that have a fixed sensing and storage capacity. In this context, this paper presents a software-only solution for enhancing the performance of noise measurements in PLC systems. In detail: (i) we extend the measurement capacity in terms of the maximum number of samples that can be detected continuously, by using a machine learning (ML)-powered low complexity algorithm; and, (ii) we reduce the discontinuity period between successive measurements. This latter feature enables the possibility of collecting more continuous data. To show the viability of our proposal, we conducted a field measurements campaign to measure the scheme’s accuracy and the measurement capacity extension ratio (MCER). The introduced approach is able to increase the MCER by up to 8 times, in the considered PLC environments, with an accuracy above 90%. While the proposed approach has a clear application—improving current devices’ noise measurements capability without requiring costly hardware upgrades—, the technique herein shown has a general applicability, and could hence pave the way for further applications in related fields.

Traditionally, the communication and radar are separately designed. Recently, and with 5G technology, the Millimeter Wave (mmWave) spectrum becomes paramount for the exploitation of the large bandwidths. However, the interference problems have negative impacts on both radar and communication systems. To overcome these problems, the joint radar and communication (JRC) systems has been proposed as a promising technique that improves the spectrum utilization, allowing an optimal spectrum sharing and an efficient cooperative detection.In this paper, we propose an accurate performance analysis of JRC-enabled cooperative detection systems, where stochastic geometry is used to model the different vehicle positions in a given JRC systems. We derive closed form expressions of the average cooperative detection range (CDR) for different scenarios, with a different number of vehicles. Based on that, the general average CDR expression for a general number of vehicles has been derived. The results confirm the derived analytical expressions, which present efficient metrics to evaluate the cooperative detection in JRC systems.

Mobile operators around the world have been caught off guard by the popularity of mobile data services and with the massive deployment of macro base stations, and mobile data traffic continues to increase at an exponential speed. This increases overall energy consumption, which translates into a much higher rejection of carbon dioxide into the atmosphere. By the integration of small cells, i.e., femtocells, in the new generation networks, important questions are raised about the energy consumption in heterogeneous networks. In this paper, a new proposed Dynamic transmit power (DTP) based scheme is proposed to decrease the network power consumption. A stochastic geometry model is used to describe the different femtocells position in the network with realistic constraints and to evaluate the performance of our solution. Performance has been studied in terms of energy consumption and energy gains. Simulation results are used to confirm the analytical results and show that the DTP based scheme can reach an energy gain up to 35% compared to the constant transmit power (CTP) based scheme.

Millimetre‐wave (mmWave) communication is a key technology for future cellular networks. However, mmWave signals may be limited in coverage since they are susceptible to blockages. In order to mitigate blockages effect and enhance the coverage probability, device‐to‐device relaying can be used to improve the direct link reliability. In this study, the authors propose a new communication scheme to enhance the successful transmission probability. This scheme is based on a selected user equipment relay that can assist the transmission from the base station (BS) to the target user. The selected relay is an available user that provides the minimum distance among the retained maximum distances (the distance between this relay and the served user, and that between the same relay and the serving BS). Based on the stochastic geometry and random shape theory, they derive the expressions of the probability density function, and the successful transmission probability within the proposed scheme under the Nakagami‐m fading assumption. Using numerical results, the derived expressions are evaluated, and the advantages of the proposed scheme are investigated. The results confirm the analytical derived expression. In addition, the performance of their proposed scheme in terms of coverage probability outperform the existing schemes.

In this study, the authors present and evaluate the performance of two mode selection schemes for device‐to‐device (D2D) enabled unmanned aerial vehicle‐based wireless networks. The proposed schemes are based on a threshold received signal strength and an average threshold D2D distance to select the D2D mode. The focus of the two schemes is either to enhance the quality of the signal or the connectivity in case of emergency situations. To evaluate the performances of the schemes, they derive the corresponding expressions of the probability of using D2D mode and ergodic capacity. Numerical results show the advantage of the presented schemes in off‐loading traffic from aerial platforms and shed lights on the effect of the environment on the performance of D2D enabled aerial networks.

In this paper, we study important physical layer security metrics over wiretap channels with Rician fading. We derive the average secrecy outage rate (ASOR) expression to quantify the average secrecy zero level crossing rate, and the expression of the average secrecy outage duration (ASOD), which measures (in second) how long in average the system remains in the secrecy outage status. Simulation results are conducted to confirm and discuss the theoretical derived expressions. The results show that maximum Doppler frequency shift and signal to noise ratio (SNR) at the eavesdropper are the main factors that affect the ASOR and ASOD.

This paper introduces an energy harvesting based scheme for 3-D cellular networks in order to enhance communications system performance. The proposed scheme is based on the energy harvesting to reduce the transmission delay and to enhance the ergodic capacity. The stochastic geometry is used to describe the different cells' positions in the network with realistic constraints. Based on that, the average transmission delay and the ergodic capacity expressions are detailed and derived. Using numerical results, the analytical derived expressions are evaluated, and the advantages of the proposed scheme are investigated.

In this paper, we propose a new mode selection scheme for D2D enabled long term evolution-advanced (LTE-A) systems. The proposed scheme is based on a predefined threshold parameter related to the LTE sidelink (SL) received signal strength (RSS), where above this threshold, the D2D mode outperforms the cellular communication mode. Using the stochastic geometry, the system model is described and the expression of the proposed threshold parameter is derived. To evaluate the performance of the proposed scheme, the expressions of the probability of using D2D mode and the average ergodic capacity are detailed and derived. Based on that, Monte Carlo simulations are used to confirm the derived expressions and the advantages of the proposed scheme over related work in the literature.

In this paper, we investigate the communication security in aerial wiretap channels, where a network flying platform (NFP) wishes to send information to a legitimate destination, in the presence of multiple eavesdroppers. The stochastic geometry is used to describe the eavesdroppers' locations, with a given density, and in a specific environment. Based on that, we derive the secrecy outage probability expression for a standard aerial communication network with a single eavesdropper. Then, we evaluate the physical layer security of a standard and a beamforming based aerial communication systems in the presence of multiple eavesdroppers. Monte Carlo simulations are conducted to confirm and discuss the analytical results. These results show that the physical layer security in aerial wiretap channels is essentially affected by the altitude of the NFP, the eavesdroppers' density, and the type of environment.

This study introduces a three‐dimensional (3D) model for K ‐tier heterogeneous networks (HetNets) in order to evaluate the performance of using millimetre wave (mmWave) and radio‐frequency (RF) bands. The model is based on 3D stochastic geometry that describes the different cells' positions in the network with realistic constraints. Based on the 3D model, the successful transmission probability, the average throughput, and the average bit error rate expressions of down‐link HetNets are detailed and derived for both considering bands. Using numerical results, the analytical derived expressions are evaluated, and the advantages of using mmWave and RF bands for HetNets are investigated.

This paper presents an analytical methodology for the evaluation of two important physical layer security metrics in wiretap channels. Specifically, we first introduce the concept and the expression of average secrecy outage rate (ASOR) to quantify the average secrecy level crossing rate at a predefined secrecy threshold level. Then, we derive the expression of a new metric, namely, average secrecy outage duration (ASOD), which is a measure (in seconds) that describes how long on average the system remains in the secrecy outage status. The results are quite general and account for diversity-based systems operating over independent and identically distributed (i.i.d.) Nakagami-m fading channels. Monte Carlo simulations are conducted to confirm and discuss the analytical results. These results show that the ASOR and the ASOD are essentially affected by the diversity order, and the maximum Doppler frequency shift. In particular, and unlike the ASOD, the ASOR has a maximum value that should be considered in designing systems that are sensitive to secrecy level drops, even for short periods of time. In addition, the proposed new metric of ASOD might have large values even if the currently used metric of average fade duration shows low values on the communication link under consideration.

In this paper, a new mode selection scheme for device-to-device (D2D)-enabled cellular communications with mobility is proposed and evaluated. The new scheme is based on an average threshold D2D distance between two given users to trigger the D2D mode. Besides, a tractable analytical framework considering relative movement for mode selection in moving D2D scenarios is presented. Under the proposed model, the expressions of the average threshold D2D distance, the probability of using D2D mode, the successful transmission probability, and the minimum D2D mode residence time are derived, which are the key parameters to evaluate the performance of D2D-enabled networks. Monte Carlo simulations are conducted to confirm the analytical results and the advantages of the proposed scheme over previously proposed ones. They show also the importance of studying the dynamic performance of the system in terms of user mobility as articulated in the calculated minimum D2D residence time.

In this paper, a general 3-D model for K-tier heterogeneous networks (HetNets) is proposed to investigate the performances of device-to-device (D2D) communications in highrise centers. The new model is based on stochastic geometry, where a 3-D Mat'ern hard- core process (MHCP) is used to describe the different cells positions in the network with realistic constraints. We derive the expressions of average successful transmission probability (STP) for D2D and standard cellular (SC) communications with different well known interference management techniques. Monte Carlo simulations are conducted to evaluate the analytical results. These results confirm the accuracy of the proposed model which presents an efficient description and tractable model to evaluate the performance of dense small cells deployment in HetNets.

Cellular networks are usually described by two-dimensional (2-D) models. These models are appropriate for rural or suburban areas but are not suitable for dense urban environments, where a large number of heterogeneous small cells are deployed to satisfy the rapid increase in mobile subscribers and communication service demands. In this paper, a new general 3-D model for heterogeneous cellular networks is proposed. The 3-D Poisson point process (PPP) is used to describe the positions of the picocells and femtocells in the network. We derive the average coverage probability expressions of downlink heterogeneous cellular networks for a given set of parameters. Monte Carlo simulations are conducted to evaluate the analytical results and the advantage of the proposed 3-D model when compared to the traditional 2-D model. The results confirm the accuracy of the proposed model which presents an efficient description and tractable model of dense small cells deployment in heterogeneous cellular networks.

The point process theory and stochastic geometry are usually used to model cellular networks in two-dimensional (2-D) space. However, the well known 2-D models are appropriate for rural or suburban areas but are not suitable for dense urban environments, where a large number of heterogeneous small cells are deployed in the new generation networks. By the integration of the millimeter wave (mmWave) bands into the new generation networks, accurate modeling and performance analysis of mmWave based heterogeneous networks (HetNets) become important issues. In this paper, a new 3D model of next generation HetNets is proposed, where a 3-D Matérn Hard-Core Process (MHCP) is used to describe the different cells positions in the network with realistic constraints. The average coverage probability expressions of down-link HetNets are detailed and derived. MatLab software simulations are conducted to evaluate the analytical results and the advantage of the proposed 3-D model when compared to the traditional 2-D model. The results confirm the accuracy of the proposed model which presents an efficient description and tractable model of dense small cells deployment in next generation HetNets.

In this paper, we present an optimization of the effective area spectral efficiency (EASE) metric for point-to-point transmission systems, and decode-and-forward (DF) relaying communications networks under Nakagami-m fading channels. For each transmission mode, we derive a closed-form expression for the maximum transmission range and use it to derive the average affected area, and the average ergodic capacity. We then introduce the EASE expression to quantify the spatial spectral utilization efficiency. For DF relaying, the EASE metric is based on a newly introduced index, namely, useful relaying index (URndx), which is used to validate the communication possibility between a source and a relay for given transmission parameters in a given environment, and provides information about the necessity of using relaying communications. Based on the expression of EASE, we derive the optimal transmission powers that maximize the EASE for each mode. Through mathematical analysis and numerical examples, we show that the EASE metric provides a new perspective on the design of wireless transmissions, especially the transmission power optimization process.

In this paper, a cooperative communications scheme with interference management is proposed for Full-Duplex (FD) multi-user, decode-and-forward (DF) relay networks. The scheme is based on a relay selection method that maximizes the received signal-to-noise ratio (SNR). We evaluate the performance of the system using two approaches for interference management, namely, the constellation real parts (CRP) of the modulated signals, and a power adjustment technique. We derive expressions for the average outage probability of the up-link (UL) and downlink (DL) for the proposed scheme, as well as for standard halfduplex (HD), and standard FD. Numerical results are provided to validate the analysis and the performance of the proposed scheme.

In wideband communication systems, Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) has been proposed as an efficient technique to enhance the link reliability and the spectral efficiency. However, the high Peak to Average Power Ratio (PAPR) of the output signals degrades the advantage of the MIMO-OFDM systems. In order to overcome this issue, several methods requiring the explicit transmission of Side Information (SI) bits have been investigated in the literature. Nevertheless, the wrong estimation of the SI leads not only to a damage on the total signal recovery but also to a loss of the entire OFDM sequence which, causes severe degradation in the system performance. Additionally, the transmitted bits must be channel-encoded as they are particularly susceptible to the error performance of the OFDM system, which highly increases the complexity and the end-to-end latency. Therefore, we propose in this paper a blind and reduced complexity technique for MIMO-OFDM systems under high frequency selective channels. At the transmitter side, the proposed method exploits a new form of embedded signaling such as the use of the Zadoff-Chu matrix transform. Regarding the receiver side, the proposed method exploits simultaneously an enhanced Alamouti decoder scheme and an optimized estimation process that is based on calculating the high order statistic of the received signal. Finally, performances evaluation show the usefulness of the proposed methods in Long Term Evolution (LTE) standards.

Abstract Cooperative communication is a promising technique for future wireless networks. It can be used in improving communication reliability and enhancing spectrum efficiency by using the broadcast nature of radio communication and exploiting cooperative diversity. However, its performance gain degrades in the presence of co‐channel interference, which makes it essential to propose interference mitigation schemes. In this paper, we introduce three cooperative communication schemes with interference management for multi‐user cooperative wireless networks. The first scheme (best relay selection) is used as a performance benchmark because it completely avoids the interference problem by using the Frequency‐Division Multiple Access technique. The second scheme (best available relay selection) maximizes the received signal‐to‐noise ratio while keeping the interference levels below a certain threshold, and the third scheme (General Order Relay and User Selection) is based on iterative resource allocation algorithm. We derive exact closed‐form expressions of average bit error probability, outage probability, and average consumed power for the proposed schemes. Simulations are used to validate the analytical results. The results confirm the advantage of the proposed cooperation schemes in enhancing the system performance and improving the interference management. Copyright © 2015 John Wiley & Sons, Ltd.

In this paper, we introduce a new metric, namely: effective area spectral efficiency (EASE), to quantify the spectral efficiency as well as the spatial properties of decoding and forward (DF) relaying wireless communications networks with interference management. The EASE metric is based on the average affected area, the average ergodic capacity, and a new introduced index, namely: source relay communication index (SRCndx). We derive a closed-form expression for the maximum transmission range under Rayleigh fading environment. Based on the maximum transmission range, we define and derive the average affected area and the average ergodic capacity for DF relaying communications system. The SRCndx is used to validate the communication possibility between a source and a relay for given transmission parameters in a given environment, and provides information about the necessity of using relaying communications. We then introduce the EASE expression to quantify the spatial spectral utilization efficiency. Through mathematical analysis and numerical examples, we show that the EASE metric provides a new perspective on the design and optimization of wireless transmissions, especially the transmission power selection process.

In this paper, we introduce a new power spectral efficiency (PSE) metric, to quantify the spectral efficiency and the total required power to cover a certain area with a predefined received signal quality. This metric offers the possibility to find the optimal transmission power in each base station to cover the total given area with the minimum total consumed power. We start by deriving the closed-form expression of the maximum transmission range under Rayleigh fading environment. Based on the maximum transmission range, we define and derive the average affected area, the total consumed power and the average ergodic capacity. Then, we introduce the PSE expression, to quantify the power spectral utilization efficiency. After that, we evaluate the new metric for cellular network with 3-cell frequency reuse cluster (3-CFRC), without inter-cell interference (ICI), and the network with 1-cell frequency reuse cluster (1-CFRC) and ICI. Through mathematical analysis and numerical examples, we show that the PSE metric provides a new perspective on the design and optimization of wireless transmissions, especially on the transmission power selection.

In this paper, two cooperative communications schemes with inter-relay interference (IRI) management are proposed for wireless multi-user decode-and-forward (DF) relay networks. The schemes are based on a DF half-duplex (HD) relaying protocol and a relay selection method which maximizes the signal-to-noise ratio (SNR) of the second hop. To minimize the IRI, the first scheme [constellation real part (CRP)] uses a new transmission scheme based on the constellation real parts of the modulated signals, and the second scheme [previous message buffering (PMB)] uses a buffering technique at the relays. To assess the performance, we derive the expressions of the average bit error rate (BER) for the proposed schemes. Numerical results are given to confirm the analytical expressions and the advantage of the proposed schemes in enhancing interference management for wireless cooperative networks.

Relay assisted cognitive radio is a promising technology that allows wireless systems to sense the environment, learn from previous experience and improves spectrum utilization by allowing unlicensed users to access the licensed spectrum. Studies of cognitive radio were mostly assuming a perfect channel state information (CSI). This assumption is usually unrealistic in practice because of the feedback errors or scheduling delays, where transmitting node can have outdated channel state information. This aspect leads to a performance degradation of the secondary and primary systems. To quantify the impact of imperfect CSI on the secondary users (SUs) as well as the primary user (PU), we derive in this paper the exact closed form expression for the outage probability, the bit error rate and the ergodic capacity of the SUs for two different relay selection schemes proposed herein. Additionally, we investigate how harmful imperfect CSI can be on the PU's side. The theoretical results obtained in this work are confirmed through simulations.

In this paper, two cooperative communications schemes with inter-relay interference (IRI) management are proposed for multi-user wireless networks. The first scheme (Interference management at relay station (IMR)) uses the decode-and-forward (DF) relaying protocol and treats the IRI at relay station. The second scheme (Interference management at mobile station (IMM)) uses the amplify-and-forward (AF) relaying protocol and treats the IRI at mobile station. Numerical results are given to confirm the advantage of the proposed schemes in enhancing interference management for wireless cooperative networks.

In this paper, two cooperative communications schemes with interference management are proposed for multiuser wireless networks. The first scheme (Interference Constraint based Relay Selection (ICRS)) maximizes the received SNR while keeping the interference levels below a certain threshold, and the second scheme (General Order Relay and User Selection (GORUS)) is using channel state informations (CSIs) based resource allocation algorithm to improve the system performance. We derive exact closed form expressions of outage probability, ergodic capacity, and average bit error probability for the proposed schemes. Simulations are used to validate the analytical expressions. The results confirm the advantage of the proposed schemes in enhancing interference management and link reliability.

Cooperative communication is a promising technique for future wireless networks. It can be used in improving communication reliability, and enhancing power and spectrum efficiency. However, its performance gain degrades in the presence of co-channel interference which makes it essential to propose interference mitigation schemes. In this paper, we introduce two efficient cooperative communication schemes with interference management for multi-user cooperative wireless networks that are based on best relay and user selection (BRUS) technique. BRUS maximizes the received signal to noise ratio (SNR) while minimizing the interference by an optimal time slot allocation for the users. The first introduced scheme is using BRUS technique only if the user demands cooperation, and the second scheme is always using BRUS technique to enhance the system performance. We derive exact closed form expressions for the outage probability, ergodic capacity, average consumed power, and average bit error probability for the introduced cooperative schemes. Simulations are used to validate the analytical results and an agreement is observed. The results confirm the advantage of the introduced cooperation schemes in enhancing the system performance and improving the interference management.

In this paper, two cooperative communications schemes with interference management are proposed for orthogonal frequency division multiple access (OFDMA) based wireless networks. The first scheme maximizes the received signal to noise ratio (SNR) while keeping the interference levels below a certain threshold, and the second scheme maximizes the received SNR with resource allocation algorithm based . We derive exact closed form expressions for the probability density function (PDF) of the SNR, outage probability, ergodic capacity, average bit error probability, and average consumed power for the proposed cooperative schemes. Simulations are used to validate the analytical results and an agreement is observed. The results confirm the advantage of the introduced schemes in enhancing interference management and in improving spectrum efficiency and link reliability.

The standard Alamouti space-frequency block code (SFBC) suffers from performance degradation when used over highly frequency-selective channels because the channel frequency response is not necessarily flat over the Alamouti block. In this paper, we present an enhanced Alamouti space frequency block decoding scheme for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems over highly frequency selective channels. The enhanced Alamouti scheme uses the channel frequency variations in consecutive subcarriers to adapt the Alamouti decoder. Simulation results of DVB-T2 system confirm that the proposed method has substantial performance improvement in terms of bit error rate when compared to standard Alamouti decoder mainly over highly frequency-selective channels such as single frequency networks (SFN).