Title
Cooperative Spectrum Sensing Optimization in Energy-Harvesting Cognitive Radio Networks
Abstract
This article focuses on the issue of cooperative spectrum sensing (CSS) in a mobile energy-harvesting cognitive radio network (EH-CRN), where secondary transmitters (STs) are powered by the radio-frequency (RF) signal emitted from primary transmissions. Only the STs with sufficient energy participate in CSS, and send their local sensing decisions to a fusion center (FC), which makes a final decision on the state of the spectrum by a general k-out-of-M(k) fusion rule. The target of this article is to develop an optimal CSS strategy in terms of final decision threshold k that maximizes the expected achievable throughput of the EH-CRN, subject to a collision constraint and an energy causality constraint. We first show that the EH-CRN can be divided into an energy-deficit state and a spectrum-deficit state depending on the final decision threshold. The final decision threshold has a negative correlation with the number of STs participating in CSS in the energy-deficit state, and has no impact on that in the spectrum-deficit state. We then derive the collision probability and the expected achievable throughput of the EH-CRN, both of which are indicated to be determined by the active probability of a ST, the state of the spectrum, and the spectrum access opportunity. By tackling the tradeoff between the active probability and spectrum access opportunity introduced by the final decision threshold, we derive the optimal final decision threshold that maximizes the expected achievable throughput of the EH-CRN while protecting primary transmissions to a predefined extent. Extensive numerical simulations are conducted to illustrate the performance versus the final decision threshold. One of the main findings indicates that the optimal range of final decision threshold in the energy-deficit state could be acquired by the number of reporting received at the FC.
Year
DOI
Venue
2020
10.1109/TWC.2020.3015260
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
Cognitive radio network,cooperative spectrum sensing,energy harvesting,final decision threshold,throughput maximization
Journal
19
Issue
ISSN
Citations 
11
1536-1276
5
PageRank 
References 
Authors
0.43
0
4
Name
Order
Citations
PageRank
Xiaoying Liu171.12
Kechen Zheng2389.26
Kaikai Chi311420.18
Yi-hua Zhu4287.45