Title
Joint Optimal Access And Sensing Policy On Distributed Cognitive Radio Networks With Channel Aggregation
Abstract
In this paper we consider distributed cognitive radio networks (CRNs) with channel aggregation (CA) scheme where there are multiple wireless channels and multiple secondary users (SUs). SUs in CRNs with CA can transmit bits of data through more than one idle channels which are not used by primary users (PUs). SUs decide whether to access idle channels or not based on the access probability (AP), and we call users who decide to access active SUs. Each active SU uses the sequential sensing policy to sense randomly chosen L channels at the beginning of each access frame (AF) and accesses all the idle channels among the sensed channels during the rest of the AF. We analyze the average number of bits transmitted successfully by an SU per AF, call it the throughput performance of an SU. We derive a closed form of the throughput performance of an SU as a function of AP and L. By maximizing throughput, we propose a joint optimal access and sensing policy, that is, we provide the optimal value of AP a* and the optimal number of sensing channels (NSC) L*. We validate our analysis and investigate the throughput performance of the proposed optimal policy using numerical and simulation studies. Based on our investigation we further propose a near-optimal simplified policy.
Year
DOI
Venue
2016
10.1109/ICUFN.2016.7537027
2016 EIGHTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN)
Keywords
Field
DocType
Cognitive Radio Network, Distributed System, Channel Aggregation, Throughput Performance, Channel Access Policy, Channel Sensing Policy
Wireless,Markov process,Numerical models,Idle,Computer science,Computer network,Communication channel,Throughput,Wireless sensor network,Distributed computing,Cognitive radio
Conference
ISSN
Citations 
PageRank 
2165-8528
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Sangdon Park1399.11
J. Kim243.46
Gang Uk Hwang324829.60
Jun-Kyun Choi417543.94