西安电子科技大学学报 ›› 2016, Vol. 43 ›› Issue (2): 162-167.doi: 10.3969/j.issn.1001-2400.2016.02.028

• 研究论文 • 上一篇    下一篇

D2D多播场景下面向节能的资源分配机制

王元1;赵季红1,2;唐睿2;曲桦2;董姣姣1   

  1. (1. 西安邮电大学 通信与信息工程学院,陕西 西安  710061;
    2. 西安交通大学 电子与信息工程学院,陕西 西安  710049)
  • 收稿日期:2015-01-01 出版日期:2016-04-20 发布日期:2016-05-27
  • 通讯作者: 王元
  • 作者简介:王元(1989- ), 女,西安邮电大学硕士研究生,E-mail:1946495826@qq.com.
  • 基金资助:

    国家自然科学基金资助项目(61371087);国家重大专项资助项目(2013ZX0302010-003)

Energy-aware resource allocation for underlaid D2D multicast

WANG Yuan1;ZHAO Jihong1,2;TANG Rui2;QU Hua2;DONG Jiaojiao1   

  1. (1. School of Communication and Information Engineering, Xi'an Univ. of Posts & Telecommunication, Xi'an  710061, China;
    2. School of Electronics and Information Engineering, Xi'an Jiaotong Univ., Xi'an  710049, China)
  • Received:2015-01-01 Online:2016-04-20 Published:2016-05-27
  • Contact: WANG Yuan

摘要:

设备间通信通过复用蜂窝通信的频谱,能够提升系统频带利用率,并大幅度降低终端能耗.在内容分发网络场景中,借助设备间通信多播还能有效地增加系统容量,改善用户的服务感受.但是,考虑到移动中继电量受限,而且设备间通信与蜂窝通信之间由于频带复用会产生严重的同频干扰,提出了一种基于图论的资源分配机制来最小化移动中继的总能耗,并同时保证蜂窝用户和设备间通信用户服务质量.此外,还考虑了上述能耗优化与系统容量之间的折中关系,实现了在接入用户数量最大的前提下最小化能耗.

关键词: 设备间通信多播, 移动中继, 节能, 系统容量, 资源分配, 二分图

Abstract:

The Device-to-Device (D2D) communication underlaying cellular network is a promising component to improve the spectral efficiency for the system and lower down energy consumption for mobile terminals. Besides, in the D2D-aided content delivery scenario, it is potential to enhance the system capacity and individual quality-of-service (QoS) experience when D2D multicast is further enabled, but due to the battery-driven feature of mobile relays and the co-channel interference between cellular and D2D links, the optimization of energy conservation should be addressed. So, we propose a bipartite graph based resource allocation to minimize the total power consumption at the mobile relays under the individual QoS requirement by incorporating channel assignment and power control, and we also leverage the optimization of energy saving for system capacity.

Key words: device-to-device multicast, mobile relay, energy-saving, system capacity, resource allocation, bipartite graph

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