Energy-Efficient Sensing and Transmission for Real-Time Traffic in Cognitive Radio Networks
Proceedings of 2016 the 6th International Workshop on Computer Science and Engineering · 2016
Cognitive radio networks significantly increase the utilization of radio spectrum.Most previous literatures related cognitive networks attempt to increase the throughput in cognitive networks.However, energy efficiency is a major consideration for battery-powered devices or green wireless networks.It is critical for cognitive users to opportunistically use idle spectrum to send real-time data such that energy reduction and quality-of-service provision of real-time data transmission are available at the same time.In this paper, we propose cross-layer sensing and transmission with energy efficiency schemes for real-time traffic in cognitive radio networks.In the proposed schemes, we use the information of packets in a queue to save energy.Extensive simulation results show that the proposed schemes appropriately use the queueing information to reduce energy consumption while provide different levels of quality-of-service of real-time packets (in terms of packet loss ratio).