Energy Efficiency in Massive MIMO-Based 5G Networks: Opportunities and Challenges
K. N. R. Surya Vara Prasad, Ekram Hossain, and Vijay K. Bhargava

TL;DR
This paper reviews energy efficiency techniques in massive MIMO 5G networks, discusses hybrid systems with other technologies, and highlights opportunities and challenges for sustainable 5G evolution.
Contribution
It provides a comprehensive overview of EE in massive MIMO, identifies shortcomings in current techniques, and explores hybrid architectures combining multiple 5G enabling technologies.
Findings
Hybrid massive MIMO systems achieve higher EE gains.
Realistic power consumption models are crucial for system optimization.
Open research problems remain in fully exploiting hybrid system benefits.
Abstract
As we make progress towards the era of fifth generation (5G) communication networks, energy efficiency (EE) becomes an important design criterion because it guarantees sustainable evolution. In this regard, the massive multiple-input multiple-output (MIMO) technology, where the base stations (BSs) are equipped with a large number of antennas so as to achieve multiple orders of spectral and energy efficiency gains, will be a key technology enabler for 5G. In this article, we present a comprehensive discussion on state-of-the-art techniques which further enhance the EE gains offered by massive MIMO (MM). We begin with an overview of MM systems and discuss how realistic power consumption models can be developed for these systems. Thereby, we discuss and identify few shortcomings of some of the most prominent EE-maximization techniques present in the current literature. Then, we discuss…
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