期刊文献+

一种基于仲裁的上行OFDMA资源分配算法

An Arbitration based Uplink OFDMA Resource Allocation Algorithm
下载PDF
导出
摘要 对于下行OFDMA系统,为了获取最大的吞吐量,将载波分配给信道增益最好的用户是最优的分配方式,功率分配则服从注水分布。对于上行OFDMA系统,由于用户所存在的分布式功率限制,使得下行所采用的分配策略并不适用于上行。将上行OFDMA资源分配问题描述为具有资源使用竞争的情形,竞争造成了冲突,而冲突就需要有效的方式来进行裁决。着重分析了用户功率限制下的载波冲突仲裁策略,提出了一种基于仲裁的上行OFDMA资源分配算法。仿真结果表明,该算法能够以较低的复杂度获得较优的吞吐量性能。 For the downlink OFDMA system,in order to obtain the maximum throughput,it is the optimal allocation method to allocate the carrier to the user with the best channel gain,and the power allocation is subject to the water injection distribution;however,for the uplink OFDMA system,due to the distributed power limitation of the users,the allocation strategy adopted in the downlink is not suitable for the uplink.The uplink resource allocation is described as a situation with resources use competition,and competition creates conflicts,and conflicts need to be determined in an effective way.The focus is the arbitration strategy of carrier conflict under user power limit,and an arbitration based uplink OFDMA resource allocation algorithm is proposed in this paper.Simulation results show that this proposed algorithm can obtain better throughput performance with lower complexity.
作者 范波勇 李崇鞅 郭旭静 FAN Bo-yong;LI Chong-yang;GUO Xu-jing(Hunan Post and Telecommunication College,Changsha Hunan 410015,China)
出处 《通信技术》 2020年第9期2159-2164,共6页 Communications Technology
基金 国家自然科学基金资助项目(61771254,61802031) 湖南省教育厅科学研究项目(19C1371)。
关键词 OFDMA 资源分配 仲裁 上行 OFDMA resource allocation arbitration uplink
  • 相关文献

参考文献4

二级参考文献22

  • 1BYUU S S, BALASINGHAM I, LEE H N. An inventory model- based spectrum pooling for wireless service provider and unli- censed users [J]. Computer communications, 2013, 36 (10) : 1186-1192.
  • 2LIANG Y C, CHEN K C, LI G Y, et al. Cognitive radio net- working and communications: an overview [J]. IEEE transac- tions on vehicular technology, 2011, 60(7): 3386-3407.
  • 3GHOSH A, RATASUK R, MONDAL B, et al. LTE-advanced: next-generation wireless broadband technology [J]. IEEE wire- less communications, 2010, 17(3): 10-22.
  • 4SOHAIL A, AI-IMARI M, XIAO P, et al. Optimal power al- location for MIMO-OFDM based cognitive radio systems with arbitrary input distributions [C]// Proceedings of 2013 IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications. London : IEEE, 2013 : 1909-1913.
  • 5CHEN C H, WANG C L. Joint subcarrier and power alloca- tion in muhiuser OFDM-based cognitive radio systems [C]// Proceedings of 2010 IEEE International Conference on Com- munications. Cape Town: IEEE, 2010: 1-5.
  • 6YU W, KWON T, SHIN C. Joint scheduling and dynamic power spectrum optimization for wireless muhicell networks [C]// Proceeding of 2010 44th Annual Conference on Informa- tion Sciences and Systems. Princeton: IEEE, 2010: 1-6.
  • 7ADIAN M G, AGHAEINIA H. Optimal and sub-optimal re- source allocation in multiple-input muhiple-output-orthogonal frequency division multiplexing-based multi-relay cooperative cognitive radio networks [J]. IET communications, 2014, 8(5) : 646-657.
  • 8WANG S, HUANG F, YUAN M, et al. Resource allocation for muhiuser cognitive OFDM networks with proportional rate constraints [J]. International journal of communication sys- tems, 2012, 25(2): 254-269.
  • 9SHAHRAKI H S, MOHAMED-POUR K. Power allocation in multiple-input multiple-output orthogonal frequeney division multiplexing-based cognitive radio networks [J]. IET communi- cations, 2011, 5(3): 362-370.
  • 10张然然,刘元安,林晓峰,谢刚,刘罡.认知无线电下行链路中的OFDMA资源分配算法[J].电子学报,2010,38(3):632-637. 被引量:14

共引文献84

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部