JOURNAL ARTICLE

Interference‐aware spectrum handover for cognitive radio networks

Dianjie LuXiaoxia HuangWeile ZhangJianping Fan

Year: 2012 Journal:   Wireless Communications and Mobile Computing Vol: 14 (11)Pages: 1099-1112   Publisher: Wiley

Abstract

ABSTRACT Cognitive radio (CR) is a promising technique for future wireless networks, which significantly improves spectrum utilization. In CR networks, when the primary users (PUs) appear, the secondary users (SUs) have to switch to other available channels to avoid the interference to PUs. However, in the multi‐SU scenario, it is still a challenging problem to make an optimal decision on spectrum handover because of the the accumulated interference constraint of PUs and SUs. In this paper, we propose an interference‐aware spectrum handover scheme that aims to maximize the CR network capacity and minimize the spectrum handover overhead by coordinating SUs’ handover decision optimally in the PU–SU coexisted CR networks. On the basis of the interference temperature model, the spectrum handover problem is formulated as a constrained optimization problem, which is in general a non‐deterministic polynomial‐time hard problem. To address the problem in a feasible way, we design a heuristic algorithm by using the technique of Branch and Bound. Finally, we combine our spectrum handover scheme with power control and give a convenient solution in a single‐SU scenario. Experimental results show that our algorithm can improve the network performance efficiently.Copyright © 2012 John Wiley & Sons, Ltd.

Keywords:
Cognitive radio Handover Computer science Overhead (engineering) Interference (communication) Heuristic Computer network Optimization problem Wireless network Wireless Scheme (mathematics) Mathematical optimization Algorithm Telecommunications Mathematics Artificial intelligence

Metrics

27
Cited By
2.65
FWCI (Field Weighted Citation Impact)
25
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power Line Communications and Noise
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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