As Fifth Generation Networks (5G) networks evolve, operators have an opportunity to create high-quality customer experiences by ensuring seamless and personalized connectivity through consumer-oriented network slicing. However, effectively managing consumer slices remains a challenge due to dynamic user demands, mobility patterns, and the need for real-time Quality of Service (QoS) assurance. This paper presents an Artificial Intelligence (AI)-driven framework for intelligent service feasibility, qualification, and provisioning in 5G networks, to automate consumer slicing. By leveraging real-time data from the Radio Access Network (RAN) and Core Network (CN), along with Service Quality Indicator (SQI), the framework enables dynamic resource allocation, predictive service qualification, and proactive slice optimization. Key innovations of the frame-work include the coherent integration of AI-driven slice load prediction, mobility-aware service provisioning, and automated QoS assurance via Application Programming Interfaces (APIs), ensuring optimal performance for consumer applications while maintaining compliance with Service Level Agreement (SLA). Experimental results demonstrate the framework’s capabilities in enhancing user experiences by enabling personalized slice selection, reducing service disruptions, and optimizing network resource utilization.

Bundling the resources of different access links is a measure to improve throughput and resilience to network failure. This paper proposes a solution able to bundle the own DSL resources with available resources of neighbouring DSLs. The solution is based on links between the DSL routers (e.g. using Wi-Fi technology) which are used by the bundling algorithm to distribute data packets over the available DSLs. The proposed solution has been implemented in a testbed in order to investigate possible bundling gains under realistic conditions. This paper presents details about the solution itself as well as the implementation and the testbed. Intensive performance measurements based on a testbed are discussed. Results show that high bundling gains can be achieved. Results also show that the link between the DSL routers is the most critical part which needs to be configured and dimensioned with care.

Energy efficiency is acknowledged as a pivotal issue for a sustainable development of wireless networking technologies. Traditionally, most works in the area focused on the user equipment, where battery duration represents a key asset. However, as the smartphone and tablet revolution fuels a massive deployment of wireless networks, often in the form of WiFi hotspots, more and more attention is expected to be devoted to the energy-efficient management of wireless access infrastructure. These networks tend to be dense and over-provisioned, which in time leads to significant energy wastage in off-peak conditions. In this paper, we present MORFEO a flexible energy-saving decision algorithm to tune the energy consumption of a wireless infrastructure to the actual network conditions in terms of both user density and traffic patterns. Experimental results from a real-life deployment shows that our solution can deliver significant energy savings with minimal degradation in terms of the quality of service provided.

Wireless hand-off control typically considers only connectivity strength from the mobile terminal to alternative access points. In wireless video streaming, however, where video freezing must be avoided at the mobile terminal, the playout buffer level should also be considered by hand-off control. In this paper, we first develop a model capturing hand-off dynamics under video streaming, and design a new playout buffer aware hand-off control. It aims to avert a video freeze for as long as possible, maximizing the expected time until freezing. We compute the optimal control in the general case of multiple access points and multiple connectivity strength states per channel. The optimal hand-off control is then computationally probed in specific relevant cases. It is demonstrated that there is a certain playout buffer threshold level - a buffer tipping point - above which a hand-off should be attempted. Of course, this tipping point depends on the access point to mobile channel statistics.

poster Share on CloudMAC: torwards software defined WLANs Authors: Jonathan Vestin Karlstad University, Karlstad, Sweden Karlstad University, Karlstad, SwedenView Profile , Peter Dely Karlstad University, Karlstad, Sweden Karlstad University, Karlstad, SwedenView Profile , Andreas Kassler Karlstad University, Karlstad, Sweden Karlstad University, Karlstad, SwedenView Profile , Nico Bayer Telekom Innovation Laboratories, Berlin, Germany Telekom Innovation Laboratories, Berlin, GermanyView Profile , Hans Einsiedler Telekom Innovation Laboratories, Berlin, Germany Telekom Innovation Laboratories, Berlin, GermanyView Profile , Christoph Peylo Telekom Innovation Laboratories, Berlin, Germany Telekom Innovation Laboratories, Berlin, GermanyView Profile Authors Info & Claims Mobicom '12: Proceedings of the 18th annual international conference on Mobile computing and networkingAugust 2012Pages 393–396https://doi.org/10.1145/2348543.2348592Published:22 August 2012Publication History 9citation903DownloadsMetricsTotal Citations9Total Downloads903Last 12 Months4Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Most 802.11 WirelessLAN media transport networks communicate on a shared channel. Since bandwidth- and QoS-demands of new media content constantly increase, network capacities tend to be bailed out soon, if the entire WLAN spectrum is not efficiently exploited. The proposed multi-layer approach combines dynamic channel distribution with additional dynamic interface bundling for multi-interface mesh networks used for media transport. This novel distributed channel utilization scheme aims for a better support of QoS-related traffic as well as traffic on prioritized (gateway) routes in such networks.

Several protocols for routing and forwarding in Wireless Mesh Networks (WMN) have been proposed, such as AODV, OLSR or B.A.T.M.A.N. However, providing support for e.g. flow-based routing where flows of one source take different paths through the network is hard to implement in a unified way using traditional routing protocols. OpenFlow is an emerging technology which makes network elements such as routers or switches programmable via a standardized interface. By using virtualization and flow-based routing, OpenFlow enables a rapid deployment of novel packet forwarding and routing algorithms, focusing on fixed networks. We propose an architecture that integrates OpenFlow with WMNs and provides such flow-based routing and forwarding capabilities. To demonstrate the feasibility of our OpenFlow based approach, we have implemented a simple solution to solve the problem of client mobility in a WMN which handles the fast migration of client addresses (e.g. IP addresses) between Mesh Access Points and the interaction with re-routing without the need for tunneling. Measurements from a real mesh testbed (KAUMesh) demonstrate the feasibility of our approach based on the evaluation of forwarding performance, control traffic and rule activation time.

Wireless mesh networks (WMNs) are wireless multihop networks comprised of mesh routers, which relay traffic on behalf of clients and other nodes. Using the standard IEEE 802.11 distributed coordination function (DCF) as MAC layer, a node needs to contend for the medium each time it wants to transmit a packet. This creates high overhead in particular for small packets and leads to poor performance for real-time applications such as Voice over IP (VoIP) or online gaming. Burst packet transmission can increase the efficiency. For example, with the Transmission Opportunity limit (TXOPlimit) in IEEE 802.11e, a station may transfer several packets without contending for the channel in between. Similarly, IP packet aggregation combines several IP packets together and sends them as one MAC Service Data Unit. Originally, both schemes have been developed for singlehop networks only. Thus the impact on WMNs is unclear if the packets need to contend over multiple hops. In this paper, we use measurements from a 9-node WMN testbed to compare TXOPs and IP packet aggregation for VoIP in terms of fairness, network capacity and quality of user experience. We show that for low networks loads, both TXOPs and IP packet aggregation increase the VoIP quality compared to IEEE 802.11 DCF. However, in highly loaded networks IP packet aggregation outperforms the other schemes.

Even though current mesh networks are mostly WiFi-based, future networks are expected to be highly heterogeneous. Motivated by this expectation, CARMEN (CARrier grade MEsh Networks) project focuses on developing a heterogeneous mesh backhaul to provide carrier-grade (voice, video and data) services. This demo presents resource management and abstraction in CARMEN architecture, which allow meeting the challenges of heterogeneous radio access.

Current Internet use is evolving, users are becoming mobile and are expecting data services on the go. This fact presents big challenges and opportunities to operators, which see the increase in data services as a big market still to be exploited. However, current cellular technologies cannot accommodate the demand that will arise when the true Mobile Internet evolves. Addressing these challenges, we present the CARMEN project, the vision of which is to extend operators’ infrastructure by providing carrier grade services through a heterogeneous wireless mesh. The CARMEN architecture will provide enough bandwidth to cope with users’ expectations at a reduced cost, thereby generating major benefits to operators and users.

This paper presents a WLAN based next generation wireless mesh testbed, called "MeshBed". The aim of this testbed is to investigate carrier-grade mesh network aspects from network operators point of view. The paper describes in detail the purpose, architecture as well as the features of the MeshBed. In particular, the Operations Support System consisting of monitoring and management tools as well as the integration into next generation network architectures will be discussed. Also the influence of wireless multi-hop communication on delay sensitive applications such as voice over IP (VoIP) is investigated by extensive measurements. It was found that wireless mesh networks are in principle capable of providing good quality support to VoIP applications. However, in highly loaded networks additional mechanisms are necessary to guarantee minimum requirements with respect to quality.

Wireless mesh networks are a viable solution to provide broadband wireless access (BWA) in a cost efficient and flexible manner. The IEEE 802.16 standard is currently one of the most interesting BWA standards. Besides the popular point-to-multipoint mode it defines an optional mesh mode. This paper evaluates the performance of the coordinated distributed scheduler (C-DSCH), defined by the IEEE 802.16 standard for mesh mode. Analytical as well as simulation results show, that this mechanism has a scalability problem that leads to poor performance in dense networks and aggravates QoS provisioning. To solve this, a dynamic adaptation mechanism is proposed, that is able to reduce the contention and to enhance the performance (throughput) in dense networks.