Channel Selection in Multichannel Cognitive Radio Systems Employing RF Energy Harvesting

A decentralized channel access strategy is proposed for a multichannel low-power cognitive radio (CR) system. CRs are equipped with rechargeable batteries to harvest radio-frequency (RF) energy from the primary user (PU) transmission. At any time, secondary users (SUs) can exploit either the spatiot...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2016-01, Vol.65 (1), p.457-462
Main Authors: Pratibha, Miss, Kwok Hung Li, Kah Chan Teh
Format: Article
Language:English
Subjects:
Batteries
Channels
Computational geometry
Convex analysis
Convex functions
Convexity
Coordinate measuring machines
Energy harvesting
Mathematical analysis
Mathematical models
Multichannel
Optimization
Radio frequency
Throughput
Vectors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A decentralized channel access strategy is proposed for a multichannel low-power cognitive radio (CR) system. CRs are equipped with rechargeable batteries to harvest radio-frequency (RF) energy from the primary user (PU) transmission. At any time, secondary users (SUs) can exploit either the spatiotemporal spectrum opportunities for transmission or the PU active periods for RF energy harvesting. An optimal channel-selection probability vector is obtained to achieve the maximum SU throughput by finding sufficient spectrum-access and energy-harvesting opportunities while accounting for SU contention. We have a nonconvex optimization problem. It is decomposed to obtain a convex optimization subproblem, but an exhaustive search is required for the master problem. Alternatively, an iterative algorithm is proposed wherein we define a combined metric to consider the spectrum-access and energy-harvesting opportunities on different PU channels. A convex optimization problem is solved with a closed-form solution in each iteration. Numerical results show that the proposed channel-selection policy enables an SU to achieve better expected throughput through an enhanced battery-recharging probability.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2015.2392770