期刊文献+

基于Benders分解的无线网络协作节能机制

Benders Decomposition Based Cooperative Energy-saving Mechanism in Wireless Networks
下载PDF
导出
摘要 该文为降低无线接入网的能耗,提出一种基于Benders分解的协作节能机制,通过协作基站选择和基站状态控制以解决基站休眠带来的弱覆盖问题。结合业务量分布和SINR空间变化建立协作基站的选择模型,用以找到合适的协作基站以及相应的休眠基站。并提出一个基于Benders分解的联合优化策略,控制基站活跃/休眠状态,实现网络容量与吞吐量间的平衡。仿真结果表明,该机制可在不增加发射功率的条件下实现覆盖补偿,并在至多42.6%的基站休眠时,仍能满足网络的基本性能要求。 To reduce the energy consumption in wireless access networks, a Cooperative Energy-Saving Mechanism based on Benders Decomposition (BD-CESM) is presented to solve inadequate coverage problem caused by BS dormancy by means of cooperative BS selection and BS state control. A cooperative BS selection model is designed to obtain appropriate cooperative BS and corresponding dormant BS according to the traffic load distribution and the spatial varying SINR. Then a Benders decomposition based joint optimization strategy is proposed to balance capacity with throughout via controlling on-off state of BS. The simulation results show that up to 42.6% of BS can be dormant while meeting basic network performance requirements. Furthermore, the coverage can be compensated without increasing transmitting power in the proposed mechanism.
作者 郑飞 李文璟 喻鹏 丰雷 孟洛明 ZHENG Fei LI Wenjing YU Peng FENG Lei MENG Luoming(State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China)
出处 《电子与信息学报》 EI CSCD 北大核心 2017年第2期367-373,共7页 Journal of Electronics & Information Technology
基金 国家863计划项目(2014AA01A701) 国家自然科学基金(61271187)~~
关键词 无线网络 节能 Benders分解 协作基站 联合优化策略 Wireless network Energy consumption Benders decomposition Cooperative BS Joint optimization strategy
  • 相关文献

参考文献3

二级参考文献39

  • 1Li Ye-geoffery, Xu Zhi-kun, Xiong Cong, et al. Energy-efficient wireless communications: tutorial, survey and open issues[J]. IEEE Wireless Communication Magazine 2011, 18(6): 28-35.
  • 2Bhat P, Nagata S, Campoy L, et al.. LTE-Advanced: an operator perspective[J]. IEEE Communication Magazine, 2012, 50(2): 104-114.
  • 3Holma H and Toskala A. LTE-Advanced: 3GPP Solution for IMT-Advanced[M]. New York: John Wiley &: Sons, 2012: 184-187.
  • 4Yang Chen-yang, Han Sheng-qian, Hou Xue-ying, et al.. How do we design CoMP to achieve its promised potential?[J]. IEEE Wireless Communication Magazine, 2013, 20(1): 67-74.
  • 5Hou Xue-ying, Yang Chen-yang, and Lau Buon Kiong. Or channel quantization for multi-cell cooperative systems wit limited feedback[J]. SCIENCE CHINA Information Science,, Special Issue on Future Wireless and Mobile Communnicatio7 2013, 74-89.56(2): 74-89.
  • 6Han Sheng-qian, Yang Chen-yang, Wang Gang, et al.. Coordinated multi-point transmission with non-ideal channel reciprocity[C]. Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Paris 2012: 952-957.
  • 7Zhang Qian and Yang Chen-yang. Transmission mode selection for downlink coordinate multi-point systems[J]. IEEE Transactions on Vehicular Technology, 2013, 62(1): 465-471.
  • 8Han Sheng-qian, Yang Chen-yang, Wang Gang, et al.. On the energy efficiency of base station sleeping with multicell cooperative transmission[C]. Proceedings of IEEE PersonalIndoor and Mobile Radio Communications (PIMRC), Toronto, 2011: 1536-1540.
  • 93GPP. Further advancements for EUTRA physical layer aspects[R]. Technical Report, 36.814 V9.0.0, 2010.
  • 10Auer G, Giannini V, Desset C, et al.. How much energy is needed to run a wireless network?[J]. IEEE Wireless Communications, 2011, 18(5): 40-49.

共引文献4

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