LTE-A上行终端直通中面向能效的资源分配方案

doi:10.11959/j.issn.1000-436x.2017037

通信学报 ›› 2017, Vol. 38 ›› Issue (2): 157-164.doi: 10.11959/j.issn.1000-436x.2017037

LTE-A上行终端直通中面向能效的资源分配方案

朱正仓¹,赵季红^1,²,唐睿¹,曲桦^1,²,王璐瑶²,曹照鑫¹

¹ 西安交通大学电子信息工程学院，陕西西安 710049
² 西安交通大学软件学院，陕西西安 710049

修回日期:2016-12-05 出版日期:2017-02-01 发布日期:2017-07-20
作者简介:朱正仓（1987-），男，安徽安庆人，西安交通大学硕士生，主要研究方向为D2D通信、车联网。|赵季红（1963-），女，陕西西安人，博士，西安交通大学教授、博士生导师，主要研究方向为新一代无线移动互联网、泛在网/物联网、异构融合网络、网络虚拟化。|唐睿（1987-），男，甘肃兰州人，西安交通大学博士生，主要研究方向为D2D通信、未来5G网络通信。|曲桦（1961-），男，河南陕县人，博士，西安交通大学教授、博士生导师，主要研究方向为移动互联网技术、泛在网技术与应用、网络的管理与控制技术、网络的异构和融合技术。|王璐瑶（1990-），女，山东菏泽人，西安交通大学硕士生，主要研究方向为D2D通信和异构网。|曹照鑫（1989-），男，重庆人，西安交通大学博士生，主要研究方向为毫米波通信和D2D通信。
基金资助:
国家自然科学基金资助项目(61372092);国家自然科学基金资助项目(61531013);国家高技术研究发展计划（“863”计划）基金资助项目(2014AA01A707)

Energy-efficient resource allocation scheme for device-to-device communication underlaying LTE-A uplink

Zheng-cang ZHU¹,Ji-hong ZHAO^1,²,Rui TANG¹,Hua QU^1,²,Lu-yao WANG²,Zhao-xin CAO¹

¹ School Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China
² Department of Software,Xi'an Jiaotong University,Xi'an 710049,China

Revised:2016-12-05 Online:2017-02-01 Published:2017-07-20
Supported by:
The National Natural Science Foundation of China(61372092);The National Natural Science Foundation of China(61531013);The National High Technol-ogy Research and Development Program of China (863 Program)(2014AA01A707)

摘要/Abstract

摘要：

针对LTE-A上行蜂窝链路与终端直通链路间的同频干扰问题，提出一种联合资源分配方案来最大化D2D链路总能效。上述问题可分解为功率控制和信道分配2个子问题。其中，功率控制子问题可借助Dinkelbach法和拉格朗日对偶得到最优解；信道分配子问题等价于集装箱问题，属于NP难问题，因此，提出一种启发式算法，实现算法性能与复杂度之间的折中。仿真结果表明所提联合资源分配方案优于单一资源优化方案，此外，其具有多项式复杂度且其性能接近理论最优解。

关键词: 高级长期演进, 终端直通, 能效, 资源分配, 集装箱问题

Abstract:

To cope with the co-channel interference between cellular links and device-to-device (D2D) links concurrently transmitting with the long term evolution-advanced (LTE-A) uplink spectrum,a joint resource allocation scheme was pro-posed to maximize the global energy efficiency of D2D links.The above problem can be decomposed into the power control subproblem and the channel assignment subproblem.Specifically,the power control subproblem can be optimally solved with the help of Dinkelbach method and Lagrange duality.Based on the above results,the channel assignment subproblem turns out to be the set packing problem which was generally NP-hard problem,Therefore,a heuristic algo-rithm was further devised to achieve a tradeoff between performance and complexity.Simulations show that the proposed joint resource allocation scheme outperforms the ones where only single resource variable is optimized,and it achieves the polynomial-time complexity at only minor performance loss when compared to the global optimum.

Key words: LTE-A,device-to-device communication, energy efficiency, resource allocation, set packing problem

中图分类号:

TN929.53

朱正仓,赵季红,唐睿,曲桦,王璐瑶,曹照鑫. LTE-A上行终端直通中面向能效的资源分配方案[J]. 通信学报, 2017, 38(2): 157-164.

Zheng-cang ZHU,Ji-hong ZHAO,Rui TANG,Hua QU,Lu-yao WANG,Zhao-xin CAO. Energy-efficient resource allocation scheme for device-to-device communication underlaying LTE-A uplink[J]. Journal on Communications, 2017, 38(2): 157-164.

图/表 3

参考文献 22

[1]	MARSCH P , SILVA I D , ELAYOUBI S E ,et al. Preliminary views and initial considerations on 5G RAN architecture and functional designs[EB/OL]. .
[2]	TANG R , ZHAO J H , QU H ,et al. Joint mode selection and resource allocation for mobile relay-aided device-to-device communication[J]. KSII Transactions on Internet and Information Systems, 2016,10(3): 950-975.
[3]	王元, 赵季红, 唐睿 ,等. D2D 多播场景下面向节能的资源分配机制[J]. 西安电子科技大学（自然版学版）, 2016,43(2): 173-178.
	WANG Y , ZHAO J H , TANG R ,et al. Energy-aware resource alloca-tion for underlaid D2D multicast[J]. Journal of Xidian University, 2016,43(2): 173-178.
[4]	SIMONE R , ALEXANDROS K ALEX G , et al ,et al. View on 5G architecture[EB/OL]. .
[5]	LIN X Q , ANDREWS J G , GHOSH A ,et al. An overview of 3GPP device-to-device proximity services[J]. IEEE Communications Magazine, 2014,52(4): 40-48.
[6]	WANG H F , CHU X Y . Distance-constrained resource sharing criteria for device-to-device communications underlaying cellular networks[J]. Electronic Letters, 2012,48(9): 528-530.
[7]	ZULHASNINE M , HUANG C , SRINIVASAN A . Efficient resource allocation for device-to-device communication underlaying LTE network[C]// IEEE International Conference on Wireless and Mobile Computing,Networking and Communication (WIMOB). 2010: 368-375.
[8]	HAN J , CUI Q M , YANG C C ,et al. Bipartite matching to optimal resource allocation in device to device underlaying cellular network[J]. Electronic Letters, 2014,50(3): 212-214.
[9]	FENG D Q , LU L , WU Y Y ,et al. Device-to-device communications underlaying cellular networks[J]. IEEE Transactions on Communications, 2013,61(8): 3541-3551.
[10]	ZHU D H , WANG J H , SWINDLEHURST A L ,et al. Downlink resource reuse for device-to-device communications underlaying cellular networks[J]. IEEE Signal Processing Letters, 2014,21(5): 531-534.
[11]	WEN S , ZHU X Y , ZHANG X ,et al. QoS-aware mode selection and resource allocation scheme for device-to-device (D2D) communication in cellular networks[C]// IEEE International Conference on Communications (ICC). Budapest,Hungary, 2013: 101-105.
[12]	WU Y , WANG J H , QIAN L P ,et al. Optimal power control for energy efficient D2D communication and its distributed implementation[J]. IEEE Communication Letters, 2015,19(5): 815-818.
[13]	FENG D Q , YU G D , XIONG C ,et al. Mode switching for energy-efficient device-to-device communications in cellular networks[J]. IEEE Transactions on Wireless Communications, 2015,14(12): 6993-7003.
[14]	WU D , WANG J L , HU R Q ,et al. Energy-efficient resource sharing for mobile device-to-device multimedia communications[J]. IEEE Transactions on Vehicular Technology, 2014,63(5): 2093-2103.
[15]	DINKRLBACH W . On nonlinear fractional programming[J]. Management Science, 1967,13(7): 492-498.
[16]	BOYD S , VANDENBERGHE L . Convex optimization[M]. Cambridge: Cambridge University PressPress, 2004.
[17]	BOYD S , MATTINGLEY J . Branch and bound methods[R]. Stanford:Stanford University, 2007.
[18]	VANDERBEI R J . Linear programming:foundations and extensions[M]. New York: SpringerPress, 2008.
[19]	VAZIRANI V V . Approximation algorithms[M]. New York: SpringerPress, 2001.
[20]	杨阳, 廖学文, 高贞贞 ,等. 多小区终端直通异构网络下利用图论的资源分配方案[J]. 西安交通大学学报, 2014,48(10): 22-28.
	YANG Y , LIAO X W , GAO Z Z ,et al. A resource allocation scheme using graph theory for D2D communication in multi-cell heterogene-ous cellular networks[J]. Journal of Xi'an Jiaotong University, 2014,48(10): 22-28.
[21]	TANG R , ZHAO J H , QU H ,et al. Joint optimization of channel allocation,link assignment and power control for device-to-device communication underlaying cellular network[J]. China Communications, 2015,12(12): 92-100.
[22]	LEE N , LIN X Q , ANDREWS J G ,et al. Power control for D2D underlaid cellular networks:modeling,algorithms and analysis[J]. IEEE Journal on Selected Areas in Communications, 2015,33(1): 1-13.

LTE-A上行终端直通中面向能效的资源分配方案

Energy-efficient resource allocation scheme for device-to-device communication underlaying LTE-A uplink

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 3

参考文献 22

相关文章 15

Metrics

推荐阅读 0

[1]	王再见, 谷慧敏. 基于联合优化的网络切片资源分配策略[J]. 通信学报, 2023, 44(5): 234-245.
[2]	余雪勇, 邱礼翔, 宋家宁, 朱洪波. 无人机辅助边缘计算中安全通信与能效优化策略[J]. 通信学报, 2023, 44(3): 45-54.
[3]	李国军, 侯旭, 叶昌荣, 罗一平. 短波通信接入网广域协作资源分配算法[J]. 通信学报, 2023, 44(2): 112-121.
[4]	龙隆, 刘子辰, 陆在旺, 张玉成, 李蕾. 移动边缘网络下服务缓存与资源分配联合优化策略[J]. 通信学报, 2023, 44(1): 64-74.
[5]	朱晓荣, 陈康. 基于细粒度切片的6G网络弹性切换算法研究[J]. 通信学报, 2022, 43(9): 148-156.
[6]	范绍帅, 吴剑波, 田辉. 面向能量受限工业物联网设备的联邦学习资源管理[J]. 通信学报, 2022, 43(8): 65-77.
[7]	王莉, 魏青, 徐连明, 沈渊, 张平, 费爱国. 面向通信-导航-感知一体化的应急无人机网络低能耗部署研究[J]. 通信学报, 2022, 43(7): 1-20.
[8]	秦鹏, 和昊婷, 赵雄文, 伏阳, 张钰, 王淼, 王硕, 武雪. 基于停放车辆路边单元环境感知的车联网资源高效分配[J]. 通信学报, 2022, 43(7): 113-125.
[9]	张达敏, 王义, 邹诚诚, 赵沛雯, 张琳娜. 认知异构蜂窝网络中改进蜉蝣算法的资源分配策略[J]. 通信学报, 2022, 43(6): 156-167.
[10]	亓伟敬, 宋清洋, 郭磊. 面向软件定义多模态车联网的双时间尺度RAN切片资源分配[J]. 通信学报, 2022, 43(4): 60-70.
[11]	朱政宇, 侯庚旺, 黄崇文, 孙钢灿, 郝万明, 梁静. 基于并行CNN的RIS辅助D2D保密通信系统资源分配算法[J]. 通信学报, 2022, 43(3): 172-179.
[12]	孙巍, 宋清洋, 郭磊. 智能反射表面辅助的无线携能通信网络资源分配算法[J]. 通信学报, 2022, 43(2): 34-43.
[13]	孙俨, 熊翱, 蒋承伶, 王威, 于东晓, 郭少勇. 基于区块链的计算与无线通信资源联合管理双向拍卖模型[J]. 通信学报, 2022, 43(11): 14-25.
[14]	陈赓, 齐书虎, 沈斐, 曾庆田. 面向B5G多业务场景基于D3QN的双时间尺度网络切片算法[J]. 通信学报, 2022, 43(11): 213-224.
[15]	苏新, 孟蕾蕾, 周一青, CELIMUGE Wu. 基于深度强化学习的海洋移动边缘计算卸载方法[J]. 通信学报, 2022, 43(10): 133-145.