异构云无线接入网络中的波束成形算法

doi:10.11959/j.issn.1000-436x.2019170

Abstract

Abstract:

To overcome the problem that previous researches for heterogeneous cloud radio access network (H-CRAN) mainly focus on single macro cell,and only considered the intracell interference in the one macro cell,while the inter cell interferences among different macro cells are neglected,H-CRAN with multiple macro-cells was studied,and the objective was to maximize system sum-rate through jointly optimizing the beamforming vectors of macro base stations (MBS) and remote radio heads (RRH).Based on alternating optimization and Lagrangian dual method,a joint MBS and RRH beamforming algorithm was proposed.The original problem was first divided into two subproblems.Then,the two sub-problem were solved alternately to obtain the final solutions of the original problem.In addition,the closed expression solutions of the two sub-problem were derived based on Lagrangian dual method.The proposed algorithm was compared with some beamforming algorithms in the simulation.The experimental results demonstrate the proposed algorithm has a better performance in improving the sum-rate of H-CRAN.

Key words: heterogeneous cloud radio access network, beamforming, alternating optimization, multi-antenna technology

CLC Number:

TN92

Jiakuo ZUO,Longxiang YANG,Nan BAO. Beamforming for heterogeneous cloud radio access network[J]. Journal on Communications, 2019, 40(8): 45-53.

Figures/Tables 6

References 6

[7]	GAO Z G , CHEN D J , SUN P ,et al. KM-based efficient algorithms for optimal packet scheduling problem in cellular/infestation integrated networks[J]. Ad Hoc Networks, 2018(77): 84-94.
[8]	PENG M G , LI Y , ZHAO Z Y ,et al. System architecture and key technologies for 5G heterogeneous cloud radio access networks[J]. IEEE Networks, 2015,29(2): 6-14.
[9]	PENG M G , XIANG H Y , CHEN Y Y ,et al. Inter-tier interference suppression in heterogeneous cloud radio access networks[J]. IEEE Access, 2015(3): 2441-2455.
[10]	CHENG Y Y , YAN S , ZHOU J H ,et al. Average bit error rate and sum capacity in heterogeneous cloud radio access networks[C]// IEEE Vehicular Technology Conference. IEEE, 2015: 1-5.
[11]	PENG M G , YU Y L , XIANG H Y ,et al. Energy-efficient resource allocation optimization for multimedia heterogeneous cloud radio access networks[J]. IEEE Transactions on Multimedia, 2016,18(5): 879-892.
[12]	WANG L F , WONG K K , ELKASHLAM M ,et al. Secrecy and energy efficiency in massive MIMO aided heterogeneous C-RAN:a new look at interference[J]. IEEE Journal of Selected Topics in Signal Processing, 2016,10(8): 1375-1389.
[13]	XIA W C , ZHANG J , TONY Q S ,et al. Joint optimization of fronthaul compression and bandwidth allocation in heterogeneous CRAN[C]// IEEE Global Communications Conference. IEEE, 2017: 1-6.
[14]	CHEN N , RONG B , ZHANG X R ,et al. Scalable and flexible massive MIMO precoding for 5G H-CRAN[J]. IEEE Wireless Communications, 2017,24(1): 46-52.
[15]	WANG K W , ZHOU W Y , MAO S W . On joint BBU/RRH resource allocation in heterogeneous Cloud-RANs[J]. IEEE Internet of Things Journal, 2017,4(3): 749-759.
[16]	SIDAN D , HUANG F J , WANG SW . Power allocation for orthogonal frequency division multiplexing-based cognitive radio networks with cooperative relays[J]. IET Communications, 2014,8(6): 921-929.
[17]	VENTURINO L , PRASAD N , WANG X D . Coordinated linear beamforming in downlink multi-cell wireless networks[J]. IEEE Transactions on Wireless Communications, 2010,9(4): 1451-1461.
[18]	FANG F , CHENG J L , DING Z G . Joint energy efficient subchannel and power optimization for a downlink NOMA heterogeneous network[J]. IEEE Transactions on Vehicular Technology, 2019,68(2): 1351-1364.
[1]	GAO Z G , CHEN D J , CAI S B ,et al. OptDynLim:an optimal algorithm for the one-dimensional RSU deployment problem with non-uniform profit density[J]. IEEE Transactions on Industrial Informatics, 2018,11(4): 1-10.
[2]	GAO Z G , CHEN D J , CAI S B ,et al. Optimal and greedy algorithms for the one-dimensional RSU deployment problem with new model[J]. IEEE Transactions on Vehicular Technology, 2018,67(8): 7643-7657.
[3]	阎少宏, 吴宇航, 龚佃选 . 基于蜂窝通信系统的中继器分布优化研究[J]. 通信学报, 2016,37(Z1): 72-77.
	YAN S H , WU Y H , GONG D X . Research on decision making of optimal communication system based on user[J]. Journal on Communications, 2016,37(Z1): 72-77.
[4]	ALIMI I A , TEXIXEIRA A L , PEREIRA P . Toward on efficient C-RAN optical fronthaul for the future networks:a tutorial on technologies,requirements,challenges,and solutions[J]. IEEE Communications Surveys ＆ Tutorials, 2018,20(1): 708-769.
[5]	邵雯娟, 沈庆国 . 软件定义的D2D和V2X通信研究综述[J]. 通信学报, 2019,40(4): 179-194.
	SHAO W J , SHEN Q G . Survey of software defined D2D and V2X communication[J]. Journal on Communications, 2019,40(4): 179-194.
[6]	ZHOU Z Y , MUMTAZ S , HUQ K M ,et al. Cloud miracles:heterogamous cloud RAN for fair coexistence of LET-U and Wi-Fi in ultra dense 5G networks[J]. IEEE Communications Magazine, 2018,56(6): 64-71.

Metrics

Recommended 0

No Suggested Reading articles found!

参数	值
蜂窝网络的个数/个	3
系统带宽/ MHz	10
每个MBS的覆盖半径/m	500
每个RRH的覆盖半径/m	50
每个蜂窝网络中 RRH、蜂窝用户、RRH用户数	3、3、4
每个蜂窝网络中MBS、RRH的天线数	5、5
MBS到蜂窝用户和RRH用户的路径损耗/dB	128.1+37.6lg d，d表示距离（单位km）
RRH到蜂窝用户和RRH用户的路径损耗/dB	140.1+36.7lg d，d表示距离（单位km）
对数正态阴影(Log-normal shadowing) 衰落/dB	-8
穿透损耗/dB	-20

Beamforming for heterogeneous cloud radio access network

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 6

Related Articles 15

Metrics

Recommended 0

[1]	Rong ZENG, Xiao HANG. Reconfigurable intelligent surface assist wireless channel estimation algorithm in Internet of vehicles environment [J]. Journal on Communications, 2022, 43(8): 142-150.
[2]	Haiyan GUO, Zhen YANG, Yulong ZOU, Bin LYU, Yuntian FENG, Yujuan ZHAO. Double-RIS assisted anti-jamming communication method based on joint active and passive beamforming optimization [J]. Journal on Communications, 2022, 43(7): 21-30.
[3]	Shiwen HE, Jun YUAN, Zhenyu AN, Min ZHANG, Yongming HUANG, Yaoxue ZHANG. GNN-based optimization algorithm for joint user scheduling and beamforming [J]. Journal on Communications, 2022, 43(7): 73-84.
[4]	Pengcheng GONG, Yuntao WU. Improved transmit beamforming design based on ADMM for low probability of intercept of FDA-MIMO radar [J]. Journal on Communications, 2022, 43(4): 133-142.
[5]	Zhongjie LI, Jiyuan XIONG, Wei GAO, Jinying WEI. Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system [J]. Journal on Communications, 2022, 43(4): 216-226.
[6]	Wei SUN, Qingyang SONG, Lei GUO. Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks [J]. Journal on Communications, 2022, 43(2): 34-43.
[7]	Gengxin ZHANG, Yunfeng WANG, Xiaojin DIGN, Tao HONG, Ziwei LIU, Chen ZHANG. Research on several key technologies of satellite Internet [J]. Journal on Communications, 2021, 42(8): 1-14.
[8]	Zhe WANG, Taoshen LI, Lina GE, Guifen ZHANG, Min WU. Optimal energy-efficiency beamforming design for SWIPT-enabled sink in sensor cloud based on deep learning [J]. Journal on Communications, 2021, 42(7): 176-188.
[9]	Zhengyu ZHU, Jinlei XU, Gangcan SUN, Ning WANG, Wanming HAO. Secure beamforming design for IRS-assisted SWIPT Internet of things system [J]. Journal on Communications, 2021, 42(4): 185-193.
[10]	Kan WANG,Nan ZHAO,Junhuai LI,Huaijun WANG. Service function chain embedding algorithm with wireless multicast in mobile edge computing network [J]. Journal on Communications, 2020, 41(10): 37-47.
[11]	Guan GUI,Yu WANG,Hao HUANG. Deep learning based physical layer wireless communication techniques:opportunities and challenges [J]. Journal on Communications, 2019, 40(2): 19-23.
[12]	Yu-meng ZHANG,Ming-chuan YANG,Xiao-feng LIU,Zhong-zhao ZHANG. Improved least mean square algorithm based in satellite multi-beamforming [J]. Journal on Communications, 2017, 38(Z1): 171-178.
[13]	Xin-ying MA,Zhi CHEN,Si MA,Jun FANG. The key technologies of millimeter wave MIMO communication system in space information network [J]. Journal on Communications, 2017, 38(Z1): 179-185.
[14]	Yong LIAO,Yu-feng LI,Xuan-fan SHEN. Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios [J]. Journal on Communications, 2017, 38(6): 58-67.
[15]	Jie CAO,Yong LIAO,Xuan-fan SHEN. Robust beamforming for multicell downlink TDD massive MIMO system based on QoS [J]. Journal on Communications, 2017, 38(11): 44-53.