Updating Beamformers to Respond to Changes in Users

We consider a multi-user multiple-input single-output downlink system that provides each user with a prespecified level of quality-of-service. The base station (BS) designs the beamformers so that each user receives a certain signal-to-interference-and-noise ratio (SINR). In contrast to most of the available literature in the beamforming field, we focus on the required modifications when the system changes. We specifically study three cases: (i) user entering the system, (ii) user leaving the system, and (iii) a change in the SINR target. We do so in order to avoid designing the entire system from scratch for every change in the requirements. In each of the three cases, we describe the modifications required to the beamforming directions and the power loading. We consider maximum ratio transmission (MRT), zero-forcing (ZF) and the optimal beamformers. The proposed modifications provide performance that is either exact or very close to that obtained when we redesign the entire system, while having much lower computational cost.

[1]  Leandros Tassiulas,et al.  Joint optimal power control and beamforming in wireless networks using antenna arrays , 1998, IEEE Trans. Commun..

[2]  L. C. Godara,et al.  Handbook of Antennas in Wireless Communications , 2001 .

[3]  António Rodrigues,et al.  Fast Matrix Inversion Updates for Massive MIMO Detection and Precoding , 2016, IEEE Signal Processing Letters.

[4]  Wei-Ho Chung,et al.  Robust Update Algorithms for Zero-Forcing Detection in Uplink Large-Scale MIMO Systems , 2018, IEEE Communications Letters.

[5]  Robert F. H. Fischer,et al.  Precoding in multiantenna and multiuser communications , 2004, IEEE Transactions on Wireless Communications.

[6]  Bruno Clerckx,et al.  Rate-Splitting for Downlink Multi-User Multi-Antenna Systems: Bridging NOMA and Conventional Linear Precoding , 2017, ArXiv.

[7]  A. Lee Swindlehurst,et al.  A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation , 2005, IEEE Transactions on Communications.

[8]  Ami Wiesel,et al.  Linear precoding via conic optimization for fixed MIMO receivers , 2006, IEEE Transactions on Signal Processing.

[9]  Shlomo Shamai,et al.  The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel , 2006, IEEE Transactions on Information Theory.

[10]  Holger Boche,et al.  Iterative multiuser uplink and downlink beamforming under SINR constraints , 2005, IEEE Transactions on Signal Processing.

[11]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.

[12]  Timothy N. Davidson,et al.  Offset-Based Beamforming: A New Approach to Robust Downlink Transmission , 2017, IEEE Transactions on Signal Processing.

[13]  Emil Björnson,et al.  Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes] , 2014, IEEE Signal Processing Magazine.

[14]  Holger Boche,et al.  Solution of the multiuser downlink beamforming problem with individual SINR constraints , 2004, IEEE Transactions on Vehicular Technology.

[15]  Robert W. Heath,et al.  Shifting the MIMO Paradigm , 2007, IEEE Signal Processing Magazine.

[16]  Bruno Clerckx,et al.  Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA , 2017, EURASIP Journal on Wireless Communications and Networking.

[17]  Emil Björnson,et al.  Efficient linear precoding for massive MIMO systems using truncated polynomial expansion , 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

[18]  W. J. Duncan LXXVIII. Some devices for the solution of large sets of simultaneous linear equations: With an appendix on the reciprocation of partitioned matrices , 1944 .

[19]  Symeon Chatzinotas,et al.  Symbol-level and Multicast Precoding for Multiuser Multiantenna Downlink: A Survey, Classification and Challenges , 2017, ArXiv.

[20]  Titus K. Y. Lo Maximum ratio transmission , 1999, IEEE Trans. Commun..