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Energy-Efficient Sensing and Transmission for Real-Time Traffic in Cognitive Radio Networks

Abstract— 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).

Index Terms— cognitive networks, real-time traffic, sensing and transmission, energy efficiency.

Ying-Jen Lin
Department of Mathematics, University of National Kaohsiung Normal University, TAIWAN
Show-Shiow Tzeng, Yi-Lun Huang
Department of Optoelectronics and Communication Engineering, University of National Kaohsiung Normal University, TAIWAN

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Cite: Ying-Jen Lin, Show-Shiow Tzeng, Yi-Lun Huang, "Energy-Efficient Sensing and Transmission for Real-Time Traffic in Cognitive Radio Networks," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 719-723, Tokyo, 17-19 June, 2016.