Power Allocation Schemes for Multicell Massive MIMO Systems

This paper investigates the sum-rate gains brought by power allocation strategies in multicell massive multiple-input- multiple-output systems, assuming time-division duplex transmission. For both uplink and downlink, we derive tractable expressions for the achievable rate with zero-forcing receivers and precoders, respectively. To avoid high-complexity joint optimization across the network, we propose a scheduling mechanism for power allocation, where, in a single time slot, only cells that do not interfere with each other adjust their transmit powers. Based on this, corresponding transmit power allocation strategies are derived, aimed at maximizing the sum rate per cell. These schemes are shown to bring considerable gains over equal power allocation for practical antenna configurations (e.g., up to a few hundred). However, with fixed number of users N, these gains diminish as M → ∞, and equal power allocation becomes optimal. A different conclusion is drawn for the case where both M and N grow large together, in which case improved rates are achieved as M grows with fixed M/N ratio, and the relative gains over the equal power allocation diminish as M/N grows. Moreover, we also provide applicable values of M/N under an acceptable power allocation gain threshold, which can be used to determine when the proposed power allocation schemes yield appreciable gains and when they do not. From the network point of view, the proposed scheduling approach can achieve almost the same performance as the joint power allocation after one scheduling round, with much reduced complexity.

[1]  Hyundong Shin,et al.  Cooperative Communications with Outage-Optimal Opportunistic Relaying , 2007, IEEE Transactions on Wireless Communications.

[2]  Rohit U. Nabar,et al.  Introduction to Space-Time Wireless Communications , 2003 .

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

[4]  Matthew R. McKay,et al.  Capacity Bounds and Low Complexity Transceiver Design for Double-Scattering MIMO Multiple Access Channels , 2010, IEEE Transactions on Signal Processing.

[5]  Dirk T. M. Slock,et al.  Asymptotic Analysis of Regularized Zero-Forcing Precoding in MISO Broadcast Channels with Limited Feedback , 2010, ISIT 2010.

[6]  Dirk T. M. Slock,et al.  Large system analysis of zero-forcing precoding in MISO broadcast channels with limited feedback , 2010, 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[7]  David Gesbert,et al.  A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems , 2012, IEEE Journal on Selected Areas in Communications.

[8]  Thomas L. Marzetta,et al.  Performance of Conjugate and Zero-Forcing Beamforming in Large-Scale Antenna Systems , 2013, IEEE Journal on Selected Areas in Communications.

[9]  Thomas L. Marzetta,et al.  Pilot Contamination and Precoding in Multi-Cell TDD Systems , 2009, IEEE Transactions on Wireless Communications.

[10]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[11]  Babak Hassibi,et al.  How much training is needed in multiple-antenna wireless links? , 2003, IEEE Trans. Inf. Theory.

[12]  Erik G. Larsson,et al.  Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems , 2011, IEEE Transactions on Communications.

[13]  T. Sälzer,et al.  From Single User to Multiuser Communications : Shifting the MIMO Paradigm , 2007 .

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

[15]  David Tse,et al.  Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality , 2003, IEEE Trans. Inf. Theory.

[16]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[17]  T.L. Marzetta,et al.  How Much Training is Required for Multiuser Mimo? , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

[18]  Hyundong Shin,et al.  MIMO Diversity in the Presence of Double Scattering , 2005, IEEE Transactions on Information Theory.

[19]  Erik G. Larsson,et al.  Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..

[20]  Erik G. Larsson,et al.  The Multicell Multiuser MIMO Uplink with Very Large Antenna Arrays and a Finite-Dimensional Channel , 2013, IEEE Transactions on Communications.

[21]  Chiung-Jang Chen,et al.  Performance Analysis of Scheduling in Multiuser MIMO Systems with Zero-Forcing Receivers , 2007, IEEE Journal on Selected Areas in Communications.

[22]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[23]  Robert W. Heath,et al.  Transmit selection in spatial multiplexing systems , 2002, IEEE Communications Letters.

[24]  Erik G. Larsson,et al.  Uplink performance analysis of multicell MU-MIMO with zero-forcing receivers and perfect CSI , 2011, 2011 IEEE Swedish Communication Technologies Workshop (Swe-CTW).

[25]  Mérouane Debbah,et al.  Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need? , 2013, IEEE Journal on Selected Areas in Communications.

[26]  Michail Matthaiou,et al.  Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means , 2014, IEEE Journal of Selected Topics in Signal Processing.

[27]  Erik G. Larsson,et al.  On the Optimality of Single-Carrier Transmission in Large-Scale Antenna Systems , 2012, IEEE Wireless Communications Letters.

[28]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[29]  Thomas L. Marzetta,et al.  Inter-Cell Interference in Noncooperative TDD Large Scale Antenna Systems , 2013, IEEE Journal on Selected Areas in Communications.

[30]  Hamid Jafarkhani,et al.  Space-Time Coding - Theory and Practice , 2010 .

[31]  Giuseppe Caire,et al.  Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback , 2007, IEEE Transactions on Information Theory.

[32]  Thomas L. Marzetta,et al.  Pilot Contamination Reduction in Multi-User TDD Systems , 2010, 2010 IEEE International Conference on Communications.