A Method for Analyzing Broadcast Beamforming of Massive MIMO Antenna Array

In this paper, a new analysis method of broadcast beamforming for a massive MIMO antenna array, targeting at the fifth generation mobile communication, is introduced. In order to solve the problem of narrow broadcast beam coverage, the element phase of massive MIMO antenna array is optimized using a method, which combines both numerical electromagnetic analysis method and global optimization algorithm. The analysis results show that the optimal value of 3 dB broadcast beam width for 64 antenna elements in the horizontal plane is 36 degree, which is 0.55 times of that of the 4G base station. In addition, the optimal value of gain loss increases to about 13 dB compared with the gain of the antenna fed with equal amplitude and in phase. So it is also necessary to take the system link budget of the broadcast channel into consideration. The proposed analysis method and design solution can provide reference for the research of the next generation mobile communication.

[1]  Thomas L. Marzetta,et al.  Argos: practical many-antenna base stations , 2012, Mobicom '12.

[2]  Boon Loong Ng,et al.  Full-dimension MIMO (FD-MIMO) for next generation cellular technology , 2013, IEEE Communications Magazine.

[3]  Mérouane Debbah,et al.  Massive MIMO: How many antennas do we need? , 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[4]  Fredrik Tufvesson,et al.  Antenna selection in measured massive MIMO channels using convex optimization , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[5]  Jyri Hämäläinen,et al.  Analysis of Antenna Parameter Optimization Space for 3GPP LTE , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[6]  Hong Wei,et al.  Design and implementation of an active multibeam antenna system with 64 RF channels and 256 antenna elements for massive MIMO application in 5G wireless communications , 2014, China Communications.

[7]  Fumiyuki Adachi,et al.  Competitive cell association and antenna allocation in 5G massive MIMO networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[8]  Guisheng Liao,et al.  Performance Analysis of Beamforming for MIMO Radar , 2008 .

[9]  Moctar Mouhamadou,et al.  SMART ANTENNA ARRAY PATTERNS SYNTHESIS: NULL STEERING AND MULTI-USER BEAMFORMING BY PHASE CONTROL , 2006 .

[10]  Yuan Li,et al.  An enhanced beamforming algorithm for three dimensional MIMO in LTE-advanced networks , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[11]  Guangyi Liu,et al.  5G: Vision and Requirements for Mobile Communication System towards Year 2020 , 2016 .

[12]  Shi Jin,et al.  Zero-forcing beamforming in massive MIMO systems with time-shifted pilots , 2014, 2014 IEEE International Conference on Communications (ICC).

[13]  Laurie Cuthbert,et al.  Dual-polarized turning torso antenna array for massive MIMO systems , 2015, 2015 9th European Conference on Antennas and Propagation (EuCAP).

[14]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[15]  Zheng Kan Performance Analysis of Smart Antenna Array with Mono-and Dual-polarization in TD-LTE System , 2011 .

[16]  Preben E. Mogensen,et al.  Deployment and implementation strategies for massive MIMO in 5G , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[17]  Michael J. Marcus,et al.  5G and "IMT for 2020 and beyond" [Spectrum Policy and Regulatory Issues] , 2015, IEEE Wireless Communications.