Utility-based and fairness-aware radio resource allocation in OFDMA cellular relay networks with tra

来源 :Journal of Harbin Institute of Technology | 被引量 : 0次 | 上传用户:ztldkd
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The combination of orthogonal frequency division multiple access(OFDMA) with relaying techniques provides plentiful opportunities for high-performance and cost-effective networks.It requires intelligent radio resource management schemes to harness these opportunities.This paper investigates the utility-based resource allocation problem in a real-time and non-real-time traffics mixed OFDMA cellular relay network to exploit the potentiality of relay.In order to apply utility theory to obtain an efficient tradeoff between throughput and fairness as well as satisfy the delay requirements of real-time traffics,a joint routing and scheduling scheme is proposed to resolve the resource allocation problem.Additionally,a low-complexity iterative algorithm is introduced to realize the scheme.The numerical results indicate that besides meeting the delay requirements of real-time traffic,the scheme can achieve the tradeoff between throughput and fairness effectively. The combination of orthogonal frequency division multiple access (OFDMA) with relaying techniques provide plentiful opportunities for high-performance and cost-effective networks. It requires intelligent radio resource management schemes to harness these opportunities. This paper investigates the utility-based resource allocation problem in a real-time and non-real-time traffics mixed OFDMA cellular relay network to exploit the potentiality of relay. In order to apply utility theory to obtain an efficient tradeoff between throughput and fairness as well as satisfy the delay requirements of real-time traffics , a joint-routing and scheduling scheme is proposed to resolve the resource allocation problem. Additionally, a low-complexity iterative algorithm is introduced to realize the scheme. Numerical values ​​indicate that while meeting the delay requirements of real-time traffic, the scheme can achieve the tradeoff between throughput and fairness effectively
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