Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

doi:10.1016/S1005-8885(16)60045-6

中国邮电高校学报(英文) ›› 2016, Vol. 23 ›› Issue (4): 53-62.doi: 10.1016/S1005-8885(16)60045-6

Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

姜静,成晓雪,谢永斌

西安邮电大学

收稿日期:2016-03-21 修回日期:2016-07-06 出版日期:2016-08-30 发布日期:2016-08-30
通讯作者: 姜静 E-mail:cheng_xx02@163.com
基金资助:
863项目

Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

Received:2016-03-21 Revised:2016-07-06 Online:2016-08-30 Published:2016-08-30
Supported by:
863 Program

摘要/Abstract

摘要： The fifth generation mobile communication (5G) systems can provide Gbit/s data rates from massive multiple-input multiple-output (MIMO) combined with the emerging use of millimeter wavelengths in small heterogeneous cells. This paper develops an energy-efficiency based multi-user hybrid beamforming for downlink millimeter wave (mmWave) massive MIMO systems. To make better use of directivity gains of the analog beamforming and flexible baseband processing of the digital beamforming, this paper proposes the analog beamforming to select the optimal beam which can maximize the power of the objective user and minimize the interference to all other users. In addition, the digital beamforming maximizes the energy efficiency of the objective user with zero-gradient-based approach. Simulation results show the proposed algorithm provide better bit error rate (BER) performance compared with the traditional hybrid beamforming and obviously improved the sum rate with the increase in the number of users. It is proved that multi-user MIMO (MU-MIMO) can be a perfect candidate for mmWave massive MIMO communication system. Furthermore, the analog beamforming can mitigate the inter-user interference more effectively with the selection of the optimal beam and the digital beamforming can greatly improve the system performance through flexible baseband processing.

关键词: 5G systems, mmWave, massive MIMO, MU-MIMO, analog beamforming, digital beamforming, hybrid beamforming

Abstract: The fifth generation mobile communication (5G) systems can provide Gbit/s data rates from massive multiple-input multiple-output (MIMO) combined with the emerging use of millimeter wavelengths in small heterogeneous cells. This paper develops an energy-efficiency based multi-user hybrid beamforming for downlink millimeter wave (mmWave) massive MIMO systems. To make better use of directivity gains of the analog beamforming and flexible baseband processing of the digital beamforming, this paper proposes the analog beamforming to select the optimal beam which can maximize the power of the objective user and minimize the interference to all other users. In addition, the digital beamforming maximizes the energy efficiency of the objective user with zero-gradient-based approach. Simulation results show the proposed algorithm provide better bit error rate (BER) performance compared with the traditional hybrid beamforming and obviously improved the sum rate with the increase in the number of users. It is proved that multi-user MIMO (MU-MIMO) can be a perfect candidate for mmWave massive MIMO communication system. Furthermore, the analog beamforming can mitigate the inter-user interference more effectively with the selection of the optimal beam and the digital beamforming can greatly improve the system performance through flexible baseband processing.

Key words: 5G systems, mmWave, massive MIMO, MU-MIMO, analog beamforming, digital beamforming, hybrid beamforming

中图分类号:

TN929.53

Jiang Jing,Cheng Xiaoxue, Xie Yongbin. Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system[J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2016, 23(4): 53-62.

参考文献

1. Assessment of the global mobile broadband deployments and forecasts for international mobile telecommunications. ITU-R M.2243. 2011 2. Roh W, Seol J Y, Park J, et al. Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results. IEEE Communications Magazine, 2014, 52( 2): 106?113 3. Niu Y, Li Y, Jin D P, et al. A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges. Wireless Networks, 2015, 21(8): 2657?2676 4. Rappaport T S, Sun S, Mayzus R, et al. Millimeter wave mobile communications for 5G cellular: it will work! IEEE Access, 2013, 1(1): 335?349 5. Han S F, Chih-Lin I, Xu Z K, et al. Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G. IEEE Communications Magazine, 2015, 53(1): 186?194 6. El Ayach O, Heath R W, Abu-Surra S, et al. Low complexity precoding for large millimeter wave MIMO systems. Proceedings of the 2012 IEEE International Conference on Communications (ICC’12), Jun 10?15, 2012, Ottawa, Canada. Piscataway, NJ, USA: IEEE, 2012: 3724?3729 7. El Ayach O, Rajagopal S, Abu-Surra S, et al. Spatially sparse precoding in millimeter wave MIMO systems. IEEE Transactions on Wireless Communications. 2014, 13( 3): 1499?1513 8. Bogale T E, Le L B, Wang X B. Hybrid analog-digital channel estimation and beamforming: training-throughput tradeoff. IEEE Transactions on Communications, 2015, 63( 12): 5235?5249 9. Kim T, Park J, Seol J Y, et al. Tens of Gbps support with mmWave beamforming systems for next generation communications. Proceedings of the 2013 IEEE Global Communications Conference (GLOBECOM’13), Dec 9?13, 2013, Atlanta, GA, USA. Piscataway, NJ, USA: IEEE, 2013: 3685?3690 10. Kwon G, Shim Y, Park H, et al. Design of millimeter wave hybrid beamforming systems. Proceedings of the 80th Vehicular Technology Conference (VTC-Fall’14), Sept 14?17, 2014, Vancouver, Canada. Piscataway, NJ, USA: IEEE, 2014: 5p 11. Choi J. Beam selection in mm-wave multiuser MIMO systems using compressive sensing. IEEE Transactions on Communications, 2015, 63(8): 2936?2947 12. Adhikary A, Al Safadi E, Samimi M K, et al. Joint spatial division and multiplexing for mm-wave channels. IEEE Journal on Selected Areas in Communications, 2014, 32( 6): 1239?1255 13. Stirling-Gallacher R A, Saifur Rahman M. Multi-user MIMO strategies for a millimeter wave communication system using hybrid beam-forming. Proceedings of the 2015 IEEE International Conference on Communications (ICC’15), Jun 8?12, 2015, London, UK. Piscataway, NJ, USA: IEEE, 2015: 2437?2443 14. Bogale T E, Le L B. Beamforming for multiuser massive MIMO systems: digital versus hybrid analog-digital. Proceedings of the 2014 IEEE Global Communications Conference (GLOBECOM’14), Dec 8?12, 2014, Austin, TX, USA. Piscataway, NJ, USA: IEEE, 2014: 4066?4071 15. Alkhateeb A, Leus G, Heath R W. Limited feedback hybrid precoding for multi-user millimeter wave systems. IEEE Transactions on Wireless Communications, 2014, 14(11): 6481?6494 16. Bogale T E, Long B L. Pilot optimization and channel estimation for multiuser massive MIMO systems. Proceedings of the 48th Annual Conference on Information Sciences and Systems (CISS’14), Mar 19?21, 2014, Princeton, NJ, USA. Piscataway, NJ, USA: IEEE, 2014: 6p 17. Smulders P F M, Correia L M. Characterisation of propagation in 60 GHz radio channels. Electronics & Communications Engineering Journal, 1997, 9(2): 73?80 18. Xu H, Kukshya V, Rappaport T S. Spatial and temporal characteristics of 60-GHz indoor channels. IEEE Journal on Selected Areas in Communications, 2002, 20(3): 620?630 19. Yong S K, Thompson J S. A Three-dimensional spatial fading correlation model for uniform rectangular arrays. IEEE Antennas and Wireless Propagation Letters, 2003, 2(1): 182?185 20. Palomar D P, Cioffi J M, Lagunas M A. Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization. IEEE Transactions on Signal Processing, 2003, 51(9): 2381?2401 21. Palomar D P, Chiang M. A tutorial on decomposition methods for network utility maximization. IEEE Journal on Selected Areas Communications, 2006, 24(8): 1439?1451 22. Jiang C Z, Cimini L J. Downlink energy-efficient multiuser beamforming with individual SINR constraints. Proceedings of the 2011 IEEE Military Communications Conference (Milcom’11), Nov 7?10, 2011, Baltimore, MD, USA. Piscataway, NJ, USA: IEEE, 2011: 495?500

[1]	郭艳艳, Li Shuai, Wu Chao. QoS-based optimal and fair resource allocation for energy-efficiency uplink NOMA networks[J]. 中国邮电高校学报(英文版), 2020, 27(3): 83-92.
[2]	Xing Shuchen, Wen Xiangming, Lu Zhaoming, Pan Qi, Jing Wenpeng. Performance analysis and enhancement of random access process in cellular-IoT[J]. 中国邮电高校学报(英文版), 2019, 26(6): 1-10.
[3]	Qu Tuosi, Cao Haiyan, Xu Fangmin, Wang Xiumin. Low complexity detection algorithm based on optimized Neumann series for massive MIMO system[J]. 中国邮电高校学报(英文版), 2018, 25(6): 97-100.
[4]	Tan Wei, Zhao Xingcheng, Liu Yuxiang, Gu Shaoxiang, Feng Wenjiang. Reduced-complexity MPA decoder based on multi-level dynamic input thresholds[J]. 中国邮电高校学报(英文版), 2017, 24(1): 40-46.
[5]	孙昱婧王永斌李屹. Energy efficiency enhancement in heterogeneous networks: a joint resource allocation approach[J]. Acta Metallurgica Sinica(English letters), 2015, 22(4): 74-80.
[6]	Wang Meng, Tian Hui, Nie Gaofeng, Wang Zhibo, Liu Yang. Distributed power allocation with a novel signaling in dense OFDMA small cell networks[J]. Acta Metallurgica Sinica(English letters), 2015, 22(3): 1-8.
[7]	徐全盛纪红李曦熊丹妮. End-to-end energy-efficient resource allocation in device-to-device communication underlaying cellular networks[J]. Acta Metallurgica Sinica(English letters), 2015, 22(2): 24-30.
[8]	谢文军黄善国赵永利 LIU Xin, GU Wan-yi. Selection of PCEs’ location in multi-domain optical networks[J]. Acta Metallurgica Sinica(English letters), 2013, 20(6): 62-68.
[9]	啜钢于晓靓. QoS-aware scheduling algorithm in relay-assisted LTE-A system[J]. Acta Metallurgica Sinica(English letters), 2013, 20(5): 16-21.
[10]	徐全盛李曦纪红姚丽萍. Resource allocation algorithm in LTE uplink SC-FDMA system for time-varying channel with imperfect channel state information[J]. Acta Metallurgica Sinica(English letters), 2013, 20(2): 7-11.
[11]	田鹏田辉高砾琦张军王萌. Dynamic spectrum allocation for cell range extension in tiered Macro-Pico heterogeneous networks[J]. Acta Metallurgica Sinica(English letters), 2013, 20(1): 66-72.
[12]	林群赵永利曹徐平郁小松唐婷婷张杰. Spectral resource defragmentation based on PCE in flexible bandwidth optical networks[J]. Acta Metallurgica Sinica(English letters), 2012, 19(6): 105-112.
[13]	褚红发喻丹李楠牛凯吴伟陵. Adaptive power control and beam-forming joint optimization in cognitive radio networks[J]. Acta Metallurgica Sinica(English letters), 2012, 19(4): 49-55.
[14]	孙学斌高明亮周正赵成林刘玮. Performance analysis of 3G systems in presence of UWB interference[J]. Acta Metallurgica Sinica(English letters), 2011, 18(2): 120-124.
[15]	熊飞张建华张平. Layered space time codes and capacity analysis in correlated fading channels with distributed antenna system[J]. Acta Metallurgica Sinica(English letters), 2011, 18(1): 28-35.

Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价