Cooperative spectrum allocation with QoS support in cognitive cooperative vehicular ad hoc networks
Lei Zhang, Tao Luo, Wei Liu, Siting Zhu, Jianfeng Li · China Communications · 2014
To solve the contradiction between the increasing demand of diverse vehicular wireless applications and the shortage of spectrum resource, a novel cognitive cooperative vehicular ad-hoc network (CC-VANET) framework is proposed in this paper. Firstly, we develop an adaptive cognitive spectrum sensing (ACSS) mechanism which can help to trigger and adjust the spectrum sensing window according to network traffic load status and communication quality. And then, Generalized Nash Bargaining Solution (GNBS), which can achieve a good tradeoff between efficiency and weighted fairness, is proposed to formulate the asymmetric inter-cell resource allocation. Finally, GNBS-Safety (GNBS-S) scheme is developed to enhance the Quality of Service (QoS) of safety applications, especially in the heavy load status, where the bandwidth demanded and supplied cannot be matched well. Furthermore, the primary user activity (PUA) which can cause rate loss to secondary users, is also considered to alleviate its influence to fairness. Simulation results indicate that the proposed CC-VANET scheme can greatly improve the spectrum efficiency and reduce the transmission delay and packet loss rate on the heavy contention status. And GNBS spectrum allocation scheme outperforms both the Max-min and Max-rate schemes, and can enhance the communication reliability of safety service considerably in CC-VANET.