Energy efficiency of large scale MIMO systems with transmit antenna selection

In this paper, we perform transmit antenna selection to improve the energy efficiency of large scale MIMO systems. We first derive a good approximation of the distribution of the mutual information in this antenna selection system. It shows that channel hardening phenomenon is still retained as full complexity with a large number of available antennas, though the number of actually used antennas can be small. Then, we use this closed-form expression to assess the energy efficiency performance. Specifically, we evaluate the performance of the energy efficiency in two different cases: 1) the circuit power consumption is comparable to or even dominates the transmit power, and 2) the circuit power can be ignored due to high transmit power. The theoretical analysis indicates that there exists an optimal number of selected antennas less than the number of the total available antennas to maximize the energy efficiency in the first case, whereas in the second case, the energy efficiency is maximized when all the available antennas are used. All the analytical results are verified through computer simulations.

[1]  Andrea J. Goldsmith,et al.  Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[2]  Thomas L. Marzetta,et al.  Multiple-antenna channel hardening and its implications for rate feedback and scheduling , 2004, IEEE Transactions on Information Theory.

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

[4]  Alister G. Burr,et al.  Successive interference cancelation for space-time block codes over time-selective channels , 2006, IEEE Communications Letters.

[5]  Alister G. Burr,et al.  Successive Interference Cancellation Schemes for Time-Reversal Space-Time Block Codes , 2008, IEEE Transactions on Vehicular Technology.

[6]  Lingyang Song,et al.  Evolved Cellular Network Planning and Optimization for UMTS and LTE , 2010 .

[7]  A. Raghunathan,et al.  Battery-driven system design: a new frontier in low power design , 2002, Proceedings of ASP-DAC/VLSI Design 2002. 7th Asia and South Pacific Design Automation Conference and 15h International Conference on VLSI Design.

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

[9]  Patrick Mitran,et al.  Rate of Channel Hardening of Antenna Selection Diversity Schemes and Its Implication on Scheduling , 2007, IEEE Transactions on Information Theory.

[10]  Peyman Hesami,et al.  Limiting behavior of receive antennae selection , 2011, 2011 45th Annual Conference on Information Sciences and Systems.

[11]  S. Stigler.  The Asymptotic Distribution of the Trimmed Mean , 1973 .

[12]  T. Birdsall,et al.  Channel capacity in bits per joule , 1986 .