Energy-efficient coordinated beamforming with rate dependent processing power

This paper studies energy-efficient coordinated beamforming in multi-cell multi-user multiple-input single-output (MISO) system. On contrary to the existing approaches where the power consumption of a base station is modeled as a convex or linear function, we consider a more practical model where part of the processing power depends on the rate provided by the base stations. Two optimization criteria are considered, namely network energy efficiency maximization and weighted sum energy efficiency maximization. We develop successive convex approximation based algorithms to tackle these difficult nonconvex problems. The numerical results illustrate that the rate dependent power consumption has a large impact on the energy efficiency, and, thus, has to be taken into account when devising energy-efficient transmission strategies.

[1]  Yongming Huang,et al.  Coordinated Multicell Multiuser Precoding for Maximizing Weighted Sum Energy Efficiency , 2014, IEEE Transactions on Signal Processing.

[2]  Antti Tölli,et al.  Traffic Aware Resource Allocation Schemes for Multi-Cell MIMO-OFDM Systems , 2016, IEEE Transactions on Signal Processing.

[3]  Antti Tölli,et al.  Effective CSI Signaling and Decentralized Beam Coordination in TDD Multi-Cell MIMO Systems , 2013, IEEE Transactions on Signal Processing.

[4]  Zhi-Quan Luo,et al.  An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[5]  Matti Latva-aho,et al.  Decentralized Coordinated Downlink Beamforming via Primal Decomposition , 2011, IEEE Signal Processing Letters.

[6]  Lars Thiele,et al.  Coordinated multipoint: Concepts, performance, and field trial results , 2011, IEEE Communications Magazine.

[7]  Antti Tölli,et al.  Decentralized Minimum Power Multi-Cell Beamforming with Limited Backhaul Signaling , 2011, IEEE Transactions on Wireless Communications.

[8]  Antti Tölli,et al.  Queue aware precoder design for space frequency resource allocation , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[9]  Markku J. Juntti,et al.  Optimal Energy-Efficient Transmit Beamforming for Multi-User MISO Downlink , 2015, IEEE Transactions on Signal Processing.

[10]  Markku J. Juntti,et al.  Decentralized coordinated beamforming for weighted sum energy efficiency maximization in multi-cell MISO downlink , 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[11]  Luca Venturino,et al.  Energy-Efficient Scheduling and Power Allocation in Downlink OFDMA Networks With Base Station Coordination , 2014, IEEE Transactions on Wireless Communications.

[12]  S. Schaible Fractional Programming. I, Duality , 1976 .

[13]  Markku J. Juntti,et al.  Achieving Energy Efficiency Fairness in Multicell MISO Downlink , 2015, IEEE Communications Letters.

[14]  Yongming Huang,et al.  Coordinated Beamforming for Energy Efficient Transmission in Multicell Multiuser Systems , 2013, IEEE Transactions on Communications.

[15]  Antti Tölli,et al.  Fast Converging Algorithm for Weighted Sum Rate Maximization in Multicell MISO Downlink , 2012, IEEE Signal Processing Letters.

[16]  Yang Li,et al.  Energy-Efficient Coordinated Beamforming Under Minimal Data Rate Constraint of Each User , 2015, IEEE Transactions on Vehicular Technology.

[17]  Emil Björnson,et al.  Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer? , 2014, IEEE Transactions on Wireless Communications.

[18]  Luc Vandendorpe,et al.  On the Optimum Energy Efficiency for Flat-Fading Channels with Rate-dependent Circuit Power , 2013, IEEE Transactions on Communications.

[19]  Luc Vandendorpe,et al.  Energy efficient precoder design for MIMO-OFDM with rate-dependent circuit power , 2015, 2015 IEEE International Conference on Communications (ICC).

[20]  I. Stancu-Minasian Nonlinear Fractional Programming , 1997 .