1 January 2019

Energy Efficiency Maximization of Millimeter Wave Hybrid MIMO Systems with Low Resolution DACs

Kaushik, A., Vlachos, E., Thompson, J.
IEEE International Conference on Communications (ICC) 2019
Download PDF IEEE Xplore arXiv

Abstract

This paper proposes an energy efficient millimeter wave (mmW ave) hybrid multiple-input multiple-output (MIMO) beamformer with low resolution digital to analog converters (DACs) at the transmitter . W e consider the case where all DACs have the same sampling resolution for each radio frequency (RF) chain and select the best subset of the active RF chains and the DAC resolution. A novel technique based on the Dinkelbach method and subset selection optimization is proposed to maximize the energy efficiency (EE) given a predefined power budget for transmission. W e also implement an exhaustive search approach to serve as an upper bound on the EE performance and show the performance trade-offs. The simulation results verify that the proposed technique exhibits EE performance similar to the optimal exhaustive search technique while requiring lower computational complexity . Index T erms—energy efficiency maximization, low resolution DACs, mmW ave MIMO, hybrid beamforming. I. I N T RO D U C T I O N Millimeter W ave (mmW ave) technology can meet the needs of the fifth generation (5G) wireless communication systems and provide improved rate and capacity [1], [2].

Type 1
Publication IEEE International Conference on Communications (ICC) 2019
DOI 10.1109/icc.2019.8761357
Date January 2019
Research 6G UAVs

Key Contributions

  • Development of a novel optimization technique combining the Dinkelbach method with subset selection to maximize energy efficiency (EE) in mmWave hybrid MIMO systems with low-resolution DACs.
  • Consideration of the transmitter-side impact of low-resolution DACs, distinguishing this work from literature primarily focused on receiver-side ADCs.
  • Formulation of the EE maximization problem under a predefined power budget, accounting for the power consumption of active RF chains and their associated DACs.
  • Demonstration that the proposed technique achieves near-optimal EE performance with significantly reduced computational complexity compared to an exhaustive search baseline.
Research 6G UAVs