应用科学学报 ›› 2014, Vol. 32 ›› Issue (6): 571-576.doi: 10.3969/j.issn.0255-8297.2014.06.004

• 通信工程 • 上一篇    下一篇

M2M 通信中基于认知的能量有效中继分配策略

曹天威, 谢威, 王聪, 徐友云   

  1. 解放军理工大学通信工程学院,南京210007
  • 收稿日期:2014-06-19 修回日期:2014-08-30 出版日期:2014-11-28 发布日期:2014-08-30
  • 作者简介:谢威,博士,讲师,研究方向:移动通信、移动通信网络、协同通信、认知通信,E-mail: edifier77@163.com;徐友云,教授,博导,研究方向:移动通信、无线通信,E-mail: yyxu@vip.sina.com
  • 基金资助:

    国家自然科学基金(No.61371123,No.61301165);江苏省基础研究计划(自然科学基金)—重点研究专项基金(No.BK2011002)资助

Energy-Effective Relay Assignment Based on Cognition for Machine-to-Machine Communication

CAO Tian-wei, XIE Wei, WANG Cong, XU You-yun   

  1. College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China
  • Received:2014-06-19 Revised:2014-08-30 Online:2014-11-28 Published:2014-08-30

摘要: 在M2M 通信中,终端节点大部分是由能量受限的电池供电,因此研究节点的能耗问题对延长通信的寿命至关重要. 为此,研究M2M 通信中具有认知能力的终端节点如何利用相互之间的协同传输来降低能量消耗. 由于次级用户的通信受限于授权信道的频谱可用性,传统的基于香农信道容量的中继分配不再适用,于是采用有效
信道容量(effective channel capacity, ECC) 的概念,同时考虑节点的剩余能量,利用匹配算法设计出最优中继分配策略. 仿真结果表明,该中继分配策略具有低能耗和公平性上的优势.

关键词: M2M通信, 协同, 认知, 能量有效, 中继分配

Abstract: In machine-to-machine (M2M) communications, terminal nodes are mostly powered by batteries
that are energy constrained. Therefore energy consumption of the nodes is a crucial issue for the life of communications.
This paper studies how the terminal nodes with cognitive ability can use cooperative transmission
among each other to reduce energy consumption. As communications of secondary users are limited to the
available authorized channel spectrum, the traditional relay assignment based on Shannon channel capacity
is not applicable. Using the concept of effective channel capacity (ECC) and taking into account the nodes’
residual energy, we propose an optimal relay assignment strategy by using a matching algorithm. Simulation
results show that the proposed assignment strategy has advantages in low energy consumption and fairness.

Key words: machine-to-machine communication, coordination, cognition, energy-effective, relay assignment

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