Title
Subchannel and Resource Allocation in Cognitive Radio Sensor Network with Wireless Energy Harvesting
Abstract
Cognitive Radio Sensor Network (CRSN) is a promising network architecture which integrates the advantages of cognitive radio and sensor networks. In this paper, the CRSN with spectrum leasing mode is considered. In the CRSN, Secondary Users (SUs) relay the information of Primary User (PU), as a reward, PU leases partial spectrum usage time to SUs. Considering the wireless energy harvesting and transmission outage probability constraints, we propose a joint subchannel, power and leasing time allocation algorithm to maximize the system throughput. In the joint optimization algorithm, an alternating optimization method is adopted, and the CVX solver is introduced to solve the optimization problems. Simulation results verify the effectiveness of the joint optimization algorithm in the improvement of system throughput.
Year
DOI
Venue
2020
10.1016/j.comnet.2019.107028
Computer Networks
Keywords
Field
DocType
Cognitive radio sensor networks,Energy harvesting,Resource allocation,Spectrum leasing,Transmission outage probability
Computer science,Network architecture,Computer network,Resource allocation,Solver,Throughput,Wireless sensor network,Optimization problem,Relay,Distributed computing,Cognitive radio
Journal
Volume
ISSN
Citations 
167
1389-1286
2
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Zhixin Liu18119.38
Mingye Zhao221.04
yazhou yuan347.17
Xinping Guan412717.80