Energy-efficient configuration of frequency resources in multi-cell MIMO-OFDM networks

In this paper, we investigate the configuration of frequency resources from the perspective of maximizing the energy efficiency (EE) of downlink multi-cell multi-carrier multi-antenna systems. We first formulate an optimization problem of subcarrier assignment to minimize the total power consumption at the base stations under the constraints of spectral efficiency (SE) requirements from multiple users. Then we find its closed-form solution by analyzing different cases. Analytical and simulation results show that when the SE requirement is low, using non-overlapped frequency resources is more energy efficient than using overlapped frequency resources and the EE increases with the SE. To support high SE, more spatial resources should be configured but a trade-off between SE and EE appears. Serving cell-center users will provide higher EE, while when serving the cell-edge users maximizing the EE will lead to a minor loss of the SE.

[1]  Geoffrey Ye Li,et al.  Energy-efficient configuration of spatial and frequency resources in MIMO-OFDMA systems , 2012, 2012 IEEE International Conference on Communications (ICC).

[2]  Liesbet Van der Perre,et al.  Challenges and enabling technologies for energy aware mobile radio networks , 2010, IEEE Communications Magazine.

[3]  Babak Daneshrad,et al.  Energy-Constrained Link Adaptation for MIMO OFDM Wireless Communication Systems , 2010, IEEE Transactions on Wireless Communications.

[4]  Gerhard Fettweis,et al.  Energy-Efficient Multi-Carrier Link Adaptation with Sum Rate-Dependent Circuit Power , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[5]  L. Gonzalez,et al.  Developing energy-efficient MIMO radios , 2009, IEEE Vehicular Technology Magazine.

[6]  Geoffrey Ye Li,et al.  Energy-efficient link adaptation in frequency-selective channels , 2010, IEEE Transactions on Communications.

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

[8]  Cong Xiong,et al.  Energy-efficient wireless communications: tutorial, survey, and open issues , 2011, IEEE Wireless Communications.

[9]  Geoffrey Ye Li,et al.  Energy-Efficient MIMO-OFDMA Systems Based on Switching off RF Chains , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[10]  Geoffrey Ye Li,et al.  Distributed Interference-Aware Energy-Efficient Power Optimization , 2011, IEEE Transactions on Wireless Communications.

[11]  Geoffrey Ye Li,et al.  Fundamental trade-offs on green wireless networks , 2011, IEEE Communications Magazine.

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