Energy Efficiency of Uplink Massive MIMO Systems With Successive Interference Cancellation

The energy efficiency (EE) of an uplink massive multiple-input multiple-output system depends strongly on the number of antennas at base stations (BSs) and the receiver architecture. The existing research has focused on linear receivers, such as those based on zero forcing (ZF) or linear minimum mean squared error detectors. In this letter, we investigate the EE when nonlinear successive-interference cancellation (SIC) receivers are employed at the BSs and provide an asymptotic analysis of the total transmit power with ZF-SIC. We show that to achieve the same spectrum efficiency, the SIC receivers require fewer antennas at BSs, but only moderate increase of the receiver complexity. As a result, the EE with the SIC receivers can be significantly higher than that with linear receivers, as demonstrated by the numerical results.

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

[2]  W. Marsden I and J , 2012 .

[3]  Jacob Benesty,et al.  A fast recursive algorithm for optimum sequential signal detection in a BLAST system , 2003, IEEE Trans. Signal Process..

[4]  Geoffrey Ye Li,et al.  A survey of energy-efficient wireless communications , 2013, IEEE Communications Surveys & Tutorials.

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

[6]  Robert W. Heath,et al.  Five disruptive technology directions for 5G , 2013, IEEE Communications Magazine.

[7]  Chaitali Chakrabarti,et al.  A System Level Energy Model and Energy-Quality Evaluation for Integrated Transceiver Front-Ends , 2007, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[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]  Ke Li,et al.  An Analysis of the Tradeoff Between the Energy and Spectrum Efficiencies in an Uplink Massive MIMO-OFDM System , 2015, IEEE Transactions on Circuits and Systems II: Express Briefs.

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

[11]  Antonia Maria Tulino,et al.  Random Matrix Theory and Wireless Communications , 2004, Found. Trends Commun. Inf. Theory.