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Published in: Wireless Personal Communications 4/2018

28-10-2017

Optimal Mode Selection Policies in Cognitive Radio Networks with RF Energy Harvesting

Authors: Tao Jing, Jinlu Ding, Fan Zhang, Yan Huo

Published in: Wireless Personal Communications | Issue 4/2018

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Abstract

Applying energy harvesting technology in cognitive radio networks (CRNs) leads to a tradeoff between the time allocated for spectrum sensing followed by spectrum accessing and that for energy harvesting. This tradeoff can be formulated as a mode selection problem for the secondary users. In this paper, we consider a CRN working in the time-slotted manner. The secondary users powered by radio frequency energy harvesting can perform overlay transmission or cooperate with the primary users. To maximize the long-term throughput of the secondary network, we propose two optimal mode selection policies by formulating this problem under a partially observable Markov decision process framework. Numerical simulations show that both of our proposed policies achieve more throughput than the overlay-only policy. Finally, we also evaluate the effect of the cooperative threshold and the energy harvesting process on the optimal policies.

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Metadata
Title
Optimal Mode Selection Policies in Cognitive Radio Networks with RF Energy Harvesting
Authors
Tao Jing
Jinlu Ding
Fan Zhang
Yan Huo
Publication date
28-10-2017
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 4/2018
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-5016-3

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