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A utility‐based capacity optimization framework for achieving cooperative diversity in the hierarchical converged heterogeneous wireless networks
Author(s) -
Peng Mugen,
Zhang Qianqian,
Wang Wenbo
Publication year - 2008
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.951
Subject(s) - computer science , relay , cooperative diversity , wireless , heterogeneous network , wireless network , computer network , node (physics) , diversity gain , transmission (telecommunications) , selection (genetic algorithm) , mathematical optimization , distributed computing , power (physics) , channel (broadcasting) , telecommunications , mimo , physics , mathematics , structural engineering , quantum mechanics , artificial intelligence , engineering
A hierarchical convergence mechanism for the heterogeneous wireless communication system via the heterogeneous cooperative relay node is presented in this paper, in which the techniques of cooperative communication and wireless relay are utilized to improve performances of the individual user and the overall converged networks. In order to evaluate the benefits of the proposal, a utility‐based capacity optimization framework for achieving the heterogeneous cooperative diversity gain is proposed. The heterogeneous cooperative capacity, relay selection and power allocation theoretical models are derived individually. The joint optimization model for relay selection and power allocation is presented as well. Owing to the computation complexity, the sub‐optimal cooperative relay selection algorithm, the sub‐optimal power allocation algorithm and the sub‐optimal joint algorithm are determined to approach the maximum overall networks' spectrum efficiency. These proposed algorithms are designed in conformance to guarantee the equivalent transmission rates of the different wireless access networks. The simulation results demonstrate that the utility‐based capacity model is available for the heterogeneous cooperative wireless communication system, and the proposed algorithms can improve performances by achieving the cooperative gain and taking full advantage of the cross‐layer design. Copyright © 2008 John Wiley & Sons, Ltd.