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认知网络中D2D全双工通信的速率最大化功率分配算法

谢显中 田瑜 姚鑫凌 雷维嘉

谢显中, 田瑜, 姚鑫凌, 雷维嘉. 认知网络中D2D全双工通信的速率最大化功率分配算法[J]. 电子与信息学报, 2017, 39(4): 1002-1006. doi: 10.11999/JEIT160593
引用本文: 谢显中, 田瑜, 姚鑫凌, 雷维嘉. 认知网络中D2D全双工通信的速率最大化功率分配算法[J]. 电子与信息学报, 2017, 39(4): 1002-1006. doi: 10.11999/JEIT160593
XIE Xianzhong, TIAN Yu, YAO Xinling, LEI Weijia. Power Allocation Algorithm of Maximizing Rate for D2D Full-duplex Communication in Cognitive Networks[J]. Journal of Electronics & Information Technology, 2017, 39(4): 1002-1006. doi: 10.11999/JEIT160593
Citation: XIE Xianzhong, TIAN Yu, YAO Xinling, LEI Weijia. Power Allocation Algorithm of Maximizing Rate for D2D Full-duplex Communication in Cognitive Networks[J]. Journal of Electronics & Information Technology, 2017, 39(4): 1002-1006. doi: 10.11999/JEIT160593

认知网络中D2D全双工通信的速率最大化功率分配算法

doi: 10.11999/JEIT160593
基金项目: 

国家自然科学基金(61271259, 61471076),重庆市教委科学技术研究项目(KJ130536),长江学者和创新团队发展计划(IRT1299),重庆市科委重点实验室专项经费(CSTC)

Power Allocation Algorithm of Maximizing Rate for D2D Full-duplex Communication in Cognitive Networks

Funds: 

The National Natural Science Foundation of China (61271259, 61471076), The Research Project of Chongqing Education Commission (KJ130536), The Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), The Special Fund of Chongqing Key Laboratory (CSTC)

  • 摘要: 针对认知D2D(Device-to-Device)全双工通信网络中,D2D用户共享蜂窝用户上行链路的频谱资源而带来的复杂干扰问题,该文给出了系统传输速率最大化的功率分配方案。该方案首先给出了认知D2D全双工通信模型,并分析了上行链路中基站和D2D用户所受到的干扰以及对应的链路传输速率。其次,提出了一种基于认知无线电系统中最大化D2D用户传输速率的功率分配算法。仿真结果表明,所提算法提高了认知D2D全双工通信网络中上行链路的频谱效率和系统整体传输速率。
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出版历程
  • 收稿日期:  2016-06-03
  • 修回日期:  2016-11-30
  • 刊出日期:  2017-04-19

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