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Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Network based on Two-Tier Crossover Genetic Algorithm

Title
Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Network based on Two-Tier Crossover Genetic Algorithm
Author
조인휘
Keywords
Cognitive radio network; energy-efficient resource allocation; multi-RAT; radio environment map; two-tier crossover genetic algorithm
Issue Date
2016-02
Publisher
KOREAN INST COMMUNICATIONS SCIENCES (K I C S)
Citation
JOURNAL OF COMMUNICATIONS AND NETWORKS, v. 18, NO 1, Page. 112-122
Abstract
Cognitive radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi-radio access technology (multi-RAT) can improve network capacity because data are transmitted by multiple RANs (radio access networks) concurrently. Thus, multi-RAT embedded in a cognitive radio network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous primary users (PUs). Specifically, we focus on the energy-efficient resource allocation (EERA) problem for CR users with a special location coverage overlapping region in which heterogeneous PUs operate simultaneously via multi-RAT. We propose a two-tier crossover genetic algorithm-based search scheme to obtain an optimal solution in terms of the power and bandwidth. In addition, we introduce a radio environment map to manage the resource allocation and network synchronization. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.
URI
http://ieeexplore.ieee.org/document/7434496/http://hdl.handle.net/20.500.11754/34064
ISSN
1229-2370; 1976-5541
DOI
10.1109/JCN.2016.000014
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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