Paper Info
Title
Binary power allocation for cognitive radio networks with centralized and distributed user selection strategies
Abstract
Motivated by the desire for efficient spectral utilization, we present a novel algorithm based on binary power allocation for sum rate maximization in Cognitive Radio Networks (CRN). At the core lies the idea of combining multi-user diversity gains with spectral sharing techniques and consequently maximizing the secondary user sum rate while maintaining a guaranteed quality of service (QoS) to the primary system. We consider a cognitive radio network consisting of multiple secondary transmitters and receivers communicating simultaneously in the presence of the primary system. Our analysis treats both uplink and downlink scenarios. We first present a distributed power allocation algorithm that attempts to maximize the throughput of the CRN. The algorithm is simple to implement, since a secondary user can decide to either transmit data or stay silent over the channel coherence time depending on a specified threshold, without affecting the primary users’ QoS. We then address the problem of user selection strategy in the context of CRN. Both centralized and distributed solutions are presented. Simulation results carried out based on a realistic network setting show promising results.
Year
DOI
Venue
2008
10.1016/j.phycom.2008.09.002
Physical Communication
Keywords
Field
DocType
Cognitive radio network,Binary power allocation,Distributed algorithm,Capacity,QoS,Outage probability,Scheduling
Distributed power,Scheduling (computing),Computer science,Communication channel,Computer network,Quality of service,Real-time computing,Distributed algorithm,Throughput,Telecommunications link,Distributed computing,Cognitive radio
Journal
Volume
Issue
ISSN
1
3
1874-4907
Citations 
PageRank 
References 
12
0.79
4
Authors
4
Name
Order
Citations
PageRank
Bassem Zayen1888.08
Majed Haddad218628.77
Aawatif Hayar39212.12
Geir E. Øien438143.38