Because the IP film box office is affected by a lot of factors, IP influencing factors have become an important basis for practitioners to make decisions. In the actual situation, the relationship between box office and various influencing factors is often uncertain and non-linear. The generalized additive model breaks through the limitations of traditional linear model assumptions and improves the accuracy of model fitting. Using the generalized additive Model to analyze the Influencing Factors of IP film Box Office, could show the degree of influence of various factors more accurately and intuitively, including IP type, IP influence, IP score and other IP influence factors, besides, film type, director influence, scriptwrite influence, starring influence and other non-IP influence factors. This paper selects the 237 film data released in 2013-2016 as a sample. The analysis results show that the IP score and IP influence have a nonlinear relationship with the box office, and play a key role in the change of the box office. The relationship between IP type and box office is not significant. Among non-IP factors, film type and director influence have a greater impact on box office.

In traditional cellular networks, the network planning scheme is imperative for satisfying the coverage and traffic requirement. The rapidly growing number of users in today's cellular networks demands more base stations (BSs) to accommodate the increasing traffic load. The dense deployment results in severe energy consumption, which is often overlooked by existing network planning schemes. In this paper, an energy-aware network planning scheme is proposed to reduce the energy consumption of BSs by leveraging the coverage extension functionality of the inter-cell cooperation. The network planning problem is formulated as a mixed integer programming problem, which is solved with the Lagrangian relaxation method. Numerical results show that the energy efficiency can be enhanced by as much as 20% compared with the non-cooperative scheme without violating the QoS requirement. It is also shown that the proposed scheme is robust to the energy consumption structure of the BSs, and thus can be used with various types of BSs.

Cooperative relay networks combined with Orthogonal Frequency Division Multiplexing Access (OFDMA) technology has been widely recognized as a promising candidate for future cellular infrastructure due to the performance enhancement by flexible resource allocation schemes. The majority of the existing schemes aim to optimize single cell performance gain. However, the higher frequency reuse factor and smaller cell size requirement lead to severe inter-cell interference problem. Therefore, the multi-cell resource allocation of subcarrier, time scheduling and power should be jointly considered to alleviate the severe inter-cell interference problem. In this paper, the joint resource allocation problem is formulated. Considering the high complexity of the optimal solution, a two-stage resource allocation scheme is proposed. In the first stage, all of the users in each cell are selected sequentially and the joint subcarrier allocation and scheduling is conducted for the selected users without considering the interference. In the second stage, the optimal power control is performed by geometric programming method. Simulation results show that the proposed the interference-aware resource allocation scheme improves the system capacity compared with existing schemes. Especially, the edge users achieve more benefit.

Recently a multiple access point (MAP) architecture is proposed for wireless local area networks (WLAN) to exploit the spatial diversity by permitting each user to associate with multiple APs. Benefited from multiple association, the promising cooperative communication technology can be utilized to further enhance the spatial diversity gain. However, cooperative transmission results in low spatial reuse efficiency with traditional physical carrier sensing (PCS) mechanism. That is because multiple cooperative nodes transmit simultaneously, which causes interference to the adjacent nodes and prevents their transmissions. Therefore the PCS range should be decreased aggressively to support more parallel cooperative transmissions. In this paper, a distributed PCS tuning scheme is proposed to enhance the spatial reuse efficiency in cooperative MAP WLAN. A cooperative node selection scheme is jointly designed to avoid the excessive interference caused by cooperative nodes transmission. Simulation results show that the proposed scheme significantly improves the throughput of cooperative MAP WLAN.

The increasing density of WLAN devices induces severe inter-cell interference problem in nowadays WLAN system. The traditional distributed coordination function (DCF) mechanism in IEEE 802.11 protocol was designed for the avoidance of intra-cell collision, but the inter-cell interference cannot be alleviated by merely increasing the backoff time. Multi-cell scheduling mechanism allocates orthogonal resource to the clients interfering with each other and can efficiently alleviate the interference problem. However, most of the current scheduling schemes are formulated as an optimization problem, the implementation of which requires abundant inter-cell information exchange and the scalability cannot be guaranteed. In this paper, three completely distributed interference-aware multi-cell scheduling schemes are proposed, where the packet loss due to interference is utilized as the scheduling criterion. A stochastic approximation method is utilized to guarantee the system fairness also in the distributed manner. Simulation results show that the proposed scheduling schemes can significantly enhance the overall throughput while guarantee the fairness of the high density WLAN systems.

In this paper we propose a cooperative-aware medium access control (MAC) protocol in the newly emerged multiple access point (MAP) WLAN system, where each user can associate with multiple APs. Leveraging the multiple association feature, the spectrum efficient virtual-antenna array (VA) cooperative strategy can be utilized. However, the APs selected for VA transmission cannot serve packet transmission individually, which leads to spatial reuse inefficiency. To balance the tradeoff between spatial reuse efficiency and cooperative gain, an interference model that describes interference among cooperative transmissions should be first established. In this paper, a virtual link model is proposed, where each virtual link is composed of one end user, one combination of VA APs and one data rate to represent one cooperative transmission. Based on this model, a multi-cell virtual link scheduling problem is formulated to achieve optimal system performance. Combined with local clique searching procedure and physical carrier sensing adaptation scheme, the dual decomposition of the scheduling problem can distributively achieve the near optimal performance. Finally a VA-based cooperative MAC (V-MAC) protocol is proposed to implement the cooperative scheduling scheme. Simulation result shows V-MAC significantly improves the system throughput meanwhile guarantees the system fairness.

Due to the difficulty of hardware design, the capture effect cannot be realized in the commercial wireless local area networks (WLAN) devices. The status results in a recent emerging pseudo capture effect in high density WLANs (HD WLANs), which is seldom considered before. Existing work has shown that the performance of carrier-sensing multiple access (CSMA) mechanism is severely degraded by this effect in high density WLAN environment. In this paper we present a model to analyze the performance of the effect. Based on the analytical results, a scalable AP-based channel assignment scheme, lowest captured channel (LCC) is proposed, which combats the problem by switching channels of each AP to the channel with the lowest pseudo capture effect. Simulation results illustrate that the proposed scheme increases the system throughput as well as enhances the system fairness compared with the fixed channel assignment. The cost of the scheme is only adding a small overhead for information exchange.

Clustering is an effective approach to achieve prolonged network lifetime, high energy efficiency and scalability in wireless sensor networks (WSNs). In many real world scenarios, due to the limited communication range of sensor nodes, the cluster heads have to forward their collected data back to the sink via multihop routes. In such cases, data from some nodes are first collected by a cluster head farther away from the sink, and then relayed back towards the sink. Such back and forth data transmission wastes precious energy in WSNs. In this paper, we present the novel concept of sub cluster for energy efficient data collection and relay. The utilization of sub clusters is proved beneficial whenever a clustering scheme is implemented in the context of whatever multihop routing protocols. We propose a protocol, SAIC (sub cluster aided interest-driven clustering) to realize this concept. SAIC is then extended to support a sink moving in discrete pattern. We analyze the benefit of introducing sub clusters, and demonstrate its gain in terms of energy efficiency in simulation. Attractively, a mobile sink boosts the benefit of sub clusters.