设备直通中面向能效与用户公平性折中的联合功率控制和调度方案

doi:10.11959/j.issn.1000-0801.2016247

电信科学 ›› 2016, Vol. 32 ›› Issue (9): 1-9.doi: 10.11959/j.issn.1000-0801.2016247

• 研究与开发 • 下一篇

设备直通中面向能效与用户公平性折中的联合功率控制和调度方案

曲桦^1,²,王璐瑶²,赵季红^1,³,唐睿¹,朱正仓¹,曹照鑫¹,董姣姣³

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
³ 西安邮电大学通信与信息工程学院，陕西西安 710061

出版日期:2016-09-15 发布日期:2016-10-20
基金资助:
国家自然科学基金资助项目

Energy efficiency-user fairness tradeoff for device-to-device communication via joint power control and scheduling

Hua QU^1,²,Luyao WANG²,Jihong ZHAO^1,³,Rui TANG¹,Zhengcang ZHU¹,Zhaoxin CAO¹,Jiaojiao DONG³

¹ School of Electronics and Information Engineering,Xi’an Jiaotong University,Xi’an 710049,China
² School of Software Engineering,Xi’an Jiaotong University,Xi’an 710049,China
³ School of Telecommunication and Information Engineering,Xi’an University of Posts＆Telecommunications,Xi’an 710061,China

Online:2016-09-15 Published:2016-10-20
Supported by:
The National Natural Science Foundation of China

摘要/Abstract

摘要：

设备直通通信作为5G系统中的关键技术之一，可显著提高系统侧和用户侧性能。但目前已有研究主要侧重优化前者。基于此，提出了一种联合时频域调度和功率控制机制，以实现系统能效与用户公平性间的折中。该机制包括功率控制和时频域调度两部分，其中，功率控制最大化D2D用户能效值；时频域调度确定任意时刻应接入的D2D用户数以及各自的信道资源。此外，借助比例公平思想动态更新匹配所需效用值。通过仿真，验证了所提联合机制的优势，并观察了系统整体能效和用户公平间的折中关系。

关键词: 设备直通通信, 能效, 用户公平性, 功率控制, 时频域调度

Abstract:

Device-to-device(D2D)communication is a promising component in the fifth generation systems,and it can significantly improve both system-side and user-side performance.However,the prior works are mainly focused on addressing the system-side metrics.Therefore,a balance was struck between EE and UF by joint consideration of power control(PC)and temporal and spectral scheduling(TSS).Specifically,PC was intended to maximize the EE of the D2D user.Based on the above results,TSS determined the set of admitted D2D users and their allocated spectral resources.Moreover,the weights were updated by the idea of proportional fairness dynamically.Finally,the numerical results show the efficiency of the efficiency mechanism and the tradeoff between EE and UF.

Key words: device-to-devicecommunication, energyefficiency, userfairness, powercontrol, temporalandspectralscheduling

曲桦,王璐瑶,赵季红,唐睿,朱正仓,曹照鑫,董姣姣. 设备直通中面向能效与用户公平性折中的联合功率控制和调度方案[J]. 电信科学, 2016, 32(9): 1-9.

Hua QU,Luyao WANG,Jihong ZHAO,Rui TANG,Zhengcang ZHU,Zhaoxin CAO,Jiaojiao DONG. Energy efficiency-user fairness tradeoff for device-to-device communication via joint power control and scheduling[J]. Telecommunications Science, 2016, 32(9): 1-9.

图/表 4

参考文献 20

[1]	QIAO J , SHEN X M , MARK J W ,et al. Enabling device-todevice communications in millimeter-wave 5G cellular networks[J]. IEEE Communications Magazine, 2015,53(1): 209-215.
[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]	JO M , MAKSYMYUK T , STRYKHALYUK B ,et al. Device-todevice based heterogeneous radio access network architecture for mobile cloud computing[J]. IEEE Wireless Communications Magazine, 2015,22(3): 50-58.
[4]	WANG L , TIAN F , SVENSSON T ,et al. Exploiting full duplex for device-to-device communications in heterogeneous networks[J]. IEEE Communications Magazine, 2015,53(5): 146-152.
[5]	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]. 西安电子科技大学学报, 2016,43(2): 162-167. WANG Y , ZHAO J H , TANG R ,et al. Energy-aware resource allocation for underlaid D2D multicast[J]. Journal of Xidian University, 2016,43(2): 162-167.
[6]	3GPP. Radio aspects(release12):TR36.843[S/OL].(2013-10-09)[2016-06-01]. .
[7]	FENG D Q , LU L , YI Y W ,et al. Optimal mobile association in device-to-device communications underlaying cellular networks[J]. IEEE Transactions on Communications, 2013,61(8): 3541-3551.
[8]	ZHONG W , FANG Y X , JIN S ,et al. Joint resource allocation for device-to-device communications underlaying uplink MIMO cellular networks[J]. IEEE Journal on Selected Areas in Communications, 2015,33(1): 41-54.
[9]	XU C , SONG L Y , HAN Z ,et al. Efficiency resource allocation for device-to-device underlay communication systems:a reverse iterative combinatorial auction based approach[J]. IEEE Journal on Selected Areas in Communications, 2013,31(9): 348-358.
[10]	GAO C F , SHENG X , TANG J ,et al. Joint mode selection,channel allocation and power assignment for green device-todevice communication[C]// IEEE International Conference on Communications(ICC),June 10-14,2014,Sydney,Australia. New Jersey:IEEE Press, 2014: 178-183.
[11]	TANG R , ZHAO J H , QU H . Distributed power control for energy conservation in hybrid cellular network with device-to-device communication[J]. China Communication, 2014,11(3): 27-39.
[12]	曲桦, 庄雄, 赵季红 ,等. 蜂窝网络下点到点通信中的联合资源优化[J]. 北京邮电大学学报, 2015,38(3): 112-116. QU H , ZHUANG X , ZHAO J H ,et al. Joint resource allocation for device-to-device communication underlaying cellular networks[J]. Journal of Beijing University of Posts and Telecommunications, 2015,38(3): 112-116.
[13]	TANG R , ZHAO J H , QU H . Joint optimization of channel allocation,link assignment and power control for device-todevice communication underlaying cellular network[J]. China Communications, 2015,12(12): 92-100.
[14]	DINKELBACH W . On nonlinear fractional programming[J]. Management Science, 1967,13(7): 492-498.
[15]	BYDO S , VANDENBERGHE L . Convex optimization[M]. Cambridge: Cambridge University PressPress, 2004.
[16]	KUHN H W . The Hungarian method for the assignment problem[J]. Naval Research Logistics, 2005,52(1): 7-21.
[17]	YANG J , ZHANG Y F , WANG Y ,et al. Average rate updating mechanism in proportional fair scheduler for HDR[C]// IEEE Global Communications Conference(Globecom),November 29December 3,Dallas,US. New Jersey:IEEE Press, 2004: 3464-3466.
[18]	DERRICK W K N , ROBERT S . Energy-efficient resource allocation in OFDMA systems with large numbers of base station antennas[C]// IEEE International Conference on Communications (ICC),July 27,2012,Ottawa,Canada. New Jersey:IEEE Press, 2012: 3292-3304.
[19]	GONG W R , WANG X X , LI M M ,et al. Round-robin resource sharing algorithm for device-to-device communications underlying SFN system[C]// IEEE 79th Vehicular Technology Conference (VTC Spring),May 18-21,2014,Seoul,Korea. New Jersey:IEEE Press, 2014: 1-5.
[20]	3GPP. Physical layer procedures(release 12):TS36.213:2014[S/OL].(2014-09-17)[2016-06-01]. .

仿真参数	设置
小区半径/m	300
发射端天线类型和天线增益	天线模型：全向型；天线增益：基站/移动终端：14/0 dBi
系统中C-L数目/条	10
发射端发射功率效率的倒数	1.5
任意发射端或接收端电路消耗的功率/mW	60
资源块带宽/kHz	180
背景噪声功率谱密度/(dBm·Hz^-1)	-174
接收端的噪声系数/dB	5(基站)/9(终端)
C-L发射功率	开环部分路径补偿算法
C-L的SINR门限/dB	7
D-L最大发射功率/mW	20
路径损耗模型(d表示链路距离)/dB	C-L:128.1+37.6lgd；D-L:148.0+40.01lgd

设备直通中面向能效与用户公平性折中的联合功率控制和调度方案

Energy efficiency-user fairness tradeoff for device-to-device communication via joint power control and scheduling

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