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基于实时业务挤占的OFDMA系统的无线资源分配方案
引用本文:王斌*,付茂豹,王文鼐.基于实时业务挤占的OFDMA系统的无线资源分配方案[J].电子与信息学报,2012,34(8):1956-1961.
作者姓名:王斌*  付茂豹  王文鼐
作者单位:1. 南京邮电大学通信与信息工程学院南京210003
2. 南京邮电大学宽带无线通信与传感网技术教育部重点实验室南京210003
基金项目:国家科技重大专项(2011ZX03005-004-03);江苏省高校自然科学基础研究重大项目(10KJA510037);南京邮电大学引进人才项目(NY209002),南京邮电大学宽带无线通信与传感网技术教育部重点实验室开放研究基金(NYKL201108);江苏高校优势学科建设工程资助项目(信息与通信工程)资助课题
摘    要:为了在实时业务和非实时业务共享无线资源的场景中增加系统吞吐量,该文提出了一种基于实时业务挤占的无线资源分配方法,该方案首先实施统一调度,然后进行实时业务挤占过程。在保证对实时业务服务的情况下,实时业务挤占的无线资源分配方案提高了多用户分集效果,增加了系统的吞吐量。理论和仿真分析表明,与已有的传统的实时业务和非实时业务共享无线资源的调度方案相比,该方案能够提供更高的系统吞吐量和频谱效率。在实际应用中,该方案具有一定的可行性和可操作性。

关 键 词:无线通信    比例公平调度    资源分配    吞吐量    多用户分集
收稿时间:2011-12-26
修稿时间:2012-03-22

An Occupying Proportional Fair Scheduling Based on OFDMA for Wireless Resource Allocation
Wang Bin Fu Mao-bao Wang Wen-nai.An Occupying Proportional Fair Scheduling Based on OFDMA for Wireless Resource Allocation[J].Journal of Electronics & Information Technology,2012,34(8):1956-1961.
Authors:Wang Bin Fu Mao-bao Wang Wen-nai
Affiliation:Wang Bin①② Fu Mao-bao① Wang Wen-nai① ①(College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing 210003,China) ②(Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
Abstract:In order to improve the system throughput when the wireless resource are shared by real and no-real services,a new type proportional fairness scheme for real time services occupying no-real time services is proposed,which first carries out union proportional fair scheduling,and then followes the procedure of real-time service occupying no-real-time service.The packet scheduling not only can guarantee the resource allocation of real time services,but also acquire better multi-user diversity gain.Theoretical analysis and simulation show that the suggested scheme can effectively improve the system throughput and spectrum efficiency in comparison with the existing approaches.
Keywords:Wireless communication  Proportional fair scheduling  Resource allocation  Throughput  Multi-user diversity
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