Paper Info
Title
Opportunistic Capacity-Based Resource Allocation for Chunk-Based Multi-Carrier Cognitive Radio Sensor Networks.
Abstract
The spectrum allocation for cognitive radio sensor networks (CRSNs) has received considerable research attention under the assumption that the spectrum environment is static. However, in practice, the spectrum environment varies over time due to primary user/secondary user (PU/SU) activity and mobility, resulting in time-varied spectrum resources. This paper studies resource allocation for chunk-based multi-carrier CRSNs with time-varied spectrum resources. We present a novel opportunistic capacity model through a continuous time semi-Markov chain (CTSMC) to describe the time-varied spectrum resources of chunks and, based on this, a joint power and chunk allocation model by considering the opportunistically available capacity of chunks is proposed. To reduce the computational complexity, we split this model into two sub-problems and solve them via the Lagrangian dual method. Simulation results illustrate that the proposed opportunistic capacity-based resource allocation algorithm can achieve better performance compared with traditional algorithms when the spectrum environment is time-varied.
Year
DOI
Venue
2017
10.3390/s17010175
SENSORS
Keywords
Field
DocType
cognitive radio sensor networks,spectrum holes,resource allocation,opportunity capacity
Multi carrier,Lagrangian,Resource allocation algorithm,Simulation,Electronic engineering,Resource allocation,Engineering,Frequency allocation,Cognitive radio sensor networks,Distributed computing,Computational complexity theory
Journal
Volume
Issue
ISSN
17
1.0
1424-8220
Citations 
PageRank 
References 
2
0.40
15
Authors
5
Name
Order
Citations
PageRank
Jie Huang129220.71
Xiaoping Zeng223629.69
Xin Jian321.08
Xiao-heng Tan41111.05
Qi Zhang520.74