International audienceWith growing interest in using cognitive radio (CR) technology in wireless communication systems for vehicles, it is envisioned that future vehicles will be CR-enabled. This paper discusses CR technologies for vehicular networks aimed at improving vehicular communication efficiency. CR for vehicular networks has the potential of becoming a killer CR application in the future due to a huge consumer market for vehicular communications. This paper surveys novel approaches and discusses research challenges related to the use of cognitive radio technology in vehicular ad hoc networks. We review how CR technologies such as dynamic spectrum access, adaptive software-defined radios, and cooperative communications will enhance vehicular communications and, hence, present the potential of transforming vehicle communication in terms of efficiency and safety. Our work is different from existing works in that we provide recent advances and open research directions on applying cognitive radio in vehicular ad hoc networks (CR-VANETs) focusing on architecture, machine learning, cooperation, reprogrammability, and spectrum management as well as QoE optimization for infotainment applications. A taxonomy of recent advances in cognitive radio for vehicular networks is also provided. In addition, several challenges and requirements have been identified. The research on applying CR in vehicular networks is still in its early stage, and there are not many experimental platforms due to their complex setup and requirements. Some related testbeds and research projects are provided at the end

No abstract

Energy consumption of wireless networks is now a very important research topic and several research teams worldwide are proposing solutions for the so-called green wireless networks, i.e. energy-efficient wireless networks. Although the increase of this research activity is rather recent, a great number of research papers and collaborative projects exist nowadays. We first summarise the metrics used in the related literature for performance evaluation. Then, we focus on describing the current approaches proposed by reviewing a good number of references from literature. The main research directions are presented: the component level research, where the efforts are mainly concentrated on the power amplifier section; the cell layout adaptation including the cell-breathing technique and coverage extension methods like femtocells and relays; in addition, we also include the radio resource management and the cognitive radio into the studied approaches. These methods are analysed, compared, classified and then a framework of classification and integration is proposed. We finally describe some major collaborative projects dedicated to this topic.

Recently, user mobility in wireless data networks is increasing because of the popularity of portable devices and the desire for voice and multimedia applications. These applications, however, require fast handoffs among base stations to maintain the quality of the connections. Re-authentication during handoff procedures causes a long handoff latency which affects the flow and service quality especially for multimedia applications. Therefore minimizing re-authentication latency is crucial in order to support real-time multimedia applications on public wireless IP networks. In this paper, we propose two fast re-authentication methods based on the predictive authentication mechanism defined by IEEE 802.11i security group. We have implemented these methods in an experimental test-bed using freeware and commodity 802.11 hardware and we demonstrate that they provide significant latency reductions compared to already proposed solutions. Conducted measurements show a very low latency not exceeding 50 ms under extreme congested network conditions.

No abstract

Deployment of next-generation n_ork (4G) begins to spread tbroughout Ibe world. Wilb variety of network tecbnologies and QoS restrictions on emerging app6catioDS; it becomes difficult for a user to select the best access network to request for connection. Even though many schemes have been proposed in Ibe literature but very few of Ibem take into account quality of experience (QoE) perceived by user for making declslon. As QoE represents pereeption esperleneed by the user, it is thus an essential indicator for network evaluation, especially .nib mnltimedia communications nowadays. Therefore, in this paper we propose a DOvel network seledion mechanism that takes quality of experience into consideration for decision making. It is a user-baaed and network-assisted approaeb Ibus a compromise solution between user and network benefit. The main idea is to use quality of experience of ongoing users in candidate networks as an indicator to select Ibe best network for connection. We have implemented and tested our mechanism in network simnlator NS-2. Tbe obtained resnlts illustrate tbat with a QuE-aware mechanism we can significantly improve user experience of mobile node and lood bnlancing between networks.

No abstract

Abstract-The on-demand connectivity service is one of the main requirements of the cellular data network. It consists in moving sessions transparently and temporarily from one network equipment to another without causing user session interruption. This service enables networks to cope with the ever-changing network condition such as sudden congestion or arbitrary network equipment failure. In this paper, we argue that the cellular data networks such as LTE/EPC lack the network visibility and control elasticity that enable the on-demand connectivity service. The Software Defined Networking (SDN) is an emerging trend that should be considered to overcomes the above drawback. As a first step, we propose an OpenFlow-based control plane for LTE/EPC architectures. Using resiliency and load balancing use cases, we show that our proposal guarantees the on-demand connectivity service.