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This paper proposes an energy efficient millimeter wave (mmWave) hybrid multiple-input multiple-output (MIMO) beamformer with low resolution digital to analog converters (DACs) at the transmitter. We 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. We 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.
|Title of host publication||2019 IEEE International Conference on Communications, ICC 2019 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 15 Jul 2019|
|Event||2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China|
Duration: 20 May 2019 → 24 May 2019
|Name||IEEE International Conference on Communications|
|Conference||2019 IEEE International Conference on Communications, ICC 2019|
|Period||20/05/19 → 24/05/19|
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