Optimal Multi-Channel Spectrum Sensing in Energy-Constrained Cognitive Radio Networks
Spectrum sensing is an important functionality of Cognitive Radio (CR). In this paper, an optimal multi-channel spectrum sensing strategy for energyconstrained cognitive radio networks (CRNs) is proposed. Under constraints of energy consumption and interference to the primary communication network, the multi-channel spectrum sensing problem is formulated as an optimization problem. In order to maximize the average achievable throughput of the CRN, sensing times and decision thresholds on multiple channels are jointly optimized. An iterative optimization algorithm is also proposed. Simulation results show that the proposed iterative algorithm is effective, and the throughput performance of the CRN is improved significantly.
cognitive radio energy-constrained interference constraint spectrum sensing throughput maximization
Tao Yu Qin Liu Pengyu Huang
Broadband Wireless Communications Laboratory, Information Science Institute State Key Laboratory of Integrated Service Networks, Xidian University Xian, China
国际会议
昆明
英文
398-402
2010-10-17（万方平台首次上网日期，不代表论文的发表时间）