计算机科学 ›› 2021, Vol. 48 ›› Issue (3): 269-274.doi: 10.11896/jsjkx.191100213

• 计算机网络 • 上一篇    下一篇

NOMA系统异构网络中联合用户关联和功率控制协同优化

程云飞, 田红心, 刘祖军   

  1. 西安电子科技大学综合业务网理论及关键技术国家重点实验室 西安710071
  • 收稿日期:2019-11-28 修回日期:2020-04-19 出版日期:2021-03-15 发布日期:2021-03-05
  • 通讯作者: 田红心(hxtian@mail.xidian.edu.cn)
  • 作者简介:1921766092@qq.com
  • 基金资助:
    国家自然科学基金(61301170);中央高校基本科研业务费项目(JB150109);111项目(B08038)

Collaborative Optimization of Joint User Association and Power Control in NOMA Heterogeneous Network

CHENG Yun-fei, TIAN Hong-xin, LIU Zu-jun   

  1. State Key Laboratory of Integrated Service Network Theory and Key Technologies,Xidian University,Xi’an 710071,China
  • Received:2019-11-28 Revised:2020-04-19 Online:2021-03-15 Published:2021-03-05
  • About author:CHENG Yun-fei,born in 1993,postgraduate.His main research interests include non-orthogonal multiple access network and wireless communication.
    TIAN Hong-xin,born in 1968,master.His main research interests include communication signal processing,satellite communication and communication countermeasures.
  • Supported by:
    National Natural Science Foundation of China(61301170),Fundamental Research Funds for the Central Universities of Ministry of Education of China(JB150109) and Project 111(B08038).

摘要: 针对非正交多址接入(Non-Orthogonal Multiple Access,NOMA)系统的两层异构网络,提出了基于效用函数最大化模型的用户关联与功率控制协同优化问题。在该问题中将系统总能效作为效用函数,在一定的用户服务质量要求(QoS)和最大功率限制约束下,提出一种联合用户关联和功率控制的算法。该算法首先将原问题转换为带参数的多项式形式的问题,在外层循环利用二分法求得最佳的能效因子,然后在内层循环分别利用分布式用户关联算法和功率控制算法得到最佳的用户关联矩阵和最佳传输功率,最终实现系统总能效最大化。仿真结果表明,所提算法在能效方面比单独的固定功率分配方案和固定用户关联方案性能更优。

关键词: NOMA, 功率控制, 能效, 异构网络, 用户关联

Abstract: Aiming at the two-layer heterogeneous network of non-orthogonal multiple access(NOMA) system,a cooperative optimization problem of user association and power control based on utility function maximization model is proposed.In this problem,the total energy efficiency of the system is taken as a utility function,and a joint user correlation and power control algorithm is proposed under the constraint of certain QoS and maximum power limit.This algorithm first converts the original problem with parameter polynomial form of the problem.In the outer loop,it uses the dichotomy of optimal energy efficiency factor.Then in the inner loop,respectively,it uses distributed user correlation algorithm and power control algorithm to get the best user incidence matrix and optimal transmission power.Finally,it realizes the system energy efficiency maximization.Simulation results show that the proposed algorithm performs better in energy efficiency than the single fixed power allocation scheme and fixed user association scheme.

Key words: Energy efficiency, Heterogeneous network, NOMA, Power control, User association

中图分类号: 

  • TN915.6
[1]BHUSHAN N,LI JUNYI,MALLADI D,et al.Network densification:the dominant theme for wireless evolution into 5G [J].IEEE Communications Magazine,2014,52(2):82-89.
[2]DAI L.Non-Orthogonal Multiple Access for 5G:Solutions,Challenges,Opportunities and Future ResearchTrends [J].IEEE Communications Magazine,2015,53(9):74-81.
[3]FANG F,ZHANG H,CHENG J,et al.Energy efficiency of resource scheduling for non-orthogonal multiple access(NOMA) wireless network[C]//2016 IEEE International Conference on Communications(ICC).Kuala Lumpur,2016:1-5.
[4]WANG J,XU H,FAN L,et al.Energy-Efficient Joint Powerand Bandwidth Allocation for NOMA Systems [J].IEEE Communications Letters,2018,26(3):780-783.
[5]ZHANG Y,WANG H M,ZHENG T X,et al.Energy-efficient transmission design in non-orthogonal multiple access [J].IEEE Trans.Vehicular Technology Conf,2017,66(3):2852-2857.
[6]YE Q Y,RONG B Y,CHEN Y D,et al.User association for load balancing in heterogeneous cellular networks[J].IEEE Transactions on Wireless Communications,2013,12(6):2706-2716.
[7]SHENK M,YU W.Downlink cell association optimization for heterogeneous networks via dual coordinate descent [C]//Proceedings of 2013 IEEE International Conference on AcousticsSpeech and Signal Processing.Vancouver,Canada:IEEE,2013:4779-4783.
[8]PRASAD N,ARSLAN M,RANGARAJAN S.Exploiting cell dormancy and load balancing in LTE HetNets:optimizing the proportional fairness utility [J].IEEE Transactions on Communications,2014,62(10):3706-3722.
[9]CHITTI K,SPEIDEL J.Joint base station association and power allocation for uplink sum-power minimization [C]//IEEE Vehicular Technology Conf.(VTC Fall).Las Vegas,USA,2013:1-5.
[10]LI X,WANG H,LIU N,et al.Dynamic user association for energyminimization in macro-relay network [C]//Int.Conf.Wireless Communications andSignal Processing(WCSP).Huangshan,China,2012:1-5.
[11]ZHU H,WANG S,CHEN D.Energy-efficient user association for heterogenouscloud cellular networks [C]//IEEE Globecom Workshops(GC Wkshps).Anaheim,USA,2012:273-278.
[12]PERVAIZ H,MUSAVIAN L,NI Q.Joint user association and energy-efficientresource allocation with minimum-rate constraints in two-tier HetNets [C]//Int.Symp.Personal Indoor Mobile Radio Communications(PIMRC).London,UK,2013:1634-1639.
[13]ISLAM S M R,AVAZOV N,DOBRE O A,et al.Power-Domain Non-Orthogonal Multiple Access(NOMA) in 5G Systems:Potentials and Challenges[J].IEEE Communications Surveys & Tutorials,2016,19(2):721-742.
[14]YE Q,RONG B,CHEN Y,et al,User association for load balancing in heterogeneous cellular networks [J].IEEE Trans on Wireless Communications,2013,12(6):2706-2716.
[15]XU B,CHEN Y,CARRION J R,et al.Resource Allocation in Energy-Cooperation Enabled Two-tier NOMA HetNets Towards Green 5G[J].IEEE Journal on Selected Areas in Communications,2017,35(99):2758-2770.
[16]BAGIROV A,KARMITSA N,MARKO M M.SubgradientMethods[M]//Introduction to Nonsmooth Optimization.Springer International Publishing,2014.
[17]TAN C W,CHIANG M,SRIKANT R.Fast algorithms and performance bounds for sum rate maximization in wireless networks [J].IEEE ACM Trans on Networking,2013,21(3):706-719.
[18]SUNG C W,LEUNG K K.A generalized framework for distri-buted power control in wireless networks [J].IEEE Trans on Information Theory,2005,51(7):2625-2635.
[19]ZHOU T,ZHAO J,QIN D,et al.Green Base Station Assign-ment for NOMA-Enabled HCNs[J].IEEE Access,2019,12(7):53018-53031.
[20]YE G,ZHANG H,LIU H,et al.Energy Efficient Joint User Association and Power Allocation in a Two-Tier Heterogeneous Network[C]//2016 IEEE Global Communications Conference(GLOBECOM).2016.
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