Large System Analysis of the Energy Consumption Distribution in Multi-User MIMO Systems With Mobility
2015 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 14, no 3, 1730-1745 p.Article in journal (Refereed) Published
In this work, we consider the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of N antennas to communicate with K single-antenna user equipments (UEs). The UEs move around in the cell according to a random walk mobility model. We aim at determining the energy consumption distribution when different linear precoding techniques are used at the BS to guarantee target rates within a finite time interval T. The analysis is conducted in the asymptotic regime where N and K grow large with fixed ratio under the assumption of perfect channel state information (CSI). Both recent and standard results from large system analysis are used to provide concise formulae for the asymptotic transmit powers and beamforming vectors for all considered schemes. These results are eventually used to provide a deterministic approximation of the energy consumption and to study its fluctuations around this value in the form of a central limit theorem. Closed-form expressions for the asymptotic means and variances are given. Numerical results are used to validate the accuracy of the theoretical analysis and to make comparisons. We show how the results can be used to approximate the probability that a battery-powered BS runs out of energy and also to design the cell radius for minimizing the energy consumption per unit area. The imperfect CSI case is also briefly considered.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2015. Vol. 14, no 3, 1730-1745 p.
Energy consumption; multi-user multiple-input multiple-output (MIMO); downlink; linear pre-coding techniques; user mobility; random walk; brownian motion; large system analysis; random matrix; central limit theorem
Communication Systems Telecommunications
IdentifiersURN: urn:nbn:se:liu:diva-117383DOI: 10.1109/TWC.2014.2372761ISI: 000351368100042OAI: oai:DiVA.org:liu-117383DiVA: diva2:807787
Funding Agencies|FP7 Network of Excellence in Wireless COMmunications NEWCOM ; People Programme (Marie Curie Actions) FP7 [PIEF-GA-2012-330731 Dense4Green]; ERC Starting Grant [305123 MORE]2015-04-242015-04-242016-02-21