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As we move closer to the fifth generation (5G) of communication networks, energy efficiency (EE) becomes a critical design requirement, as it ensures sustainable progression. Massive multiple-input multiple-output (MIMO) a technology, in which base stations (BSs) are equipped with a vast number of antennas to achieve many orders of spectrum and energy efficiency advantages, will be a critical 5G enabler. We present a complete review of state-of- the-art strategies for enhancing the EE gains offered by massive MIMO in this article (MM). We begin by providing an overview of MM systems and discussing how realistic power consumption models for these systems may be built. Thus, we review and point out some of the most prominent EE- maximization approaches currently available in the literature. Then, we examine "hybrid MM systems" that function in a 5G architecture and combine MM with other potential technology enablers such as milli metre wave, heterogeneous networks, and energy harvesting networks. Numerous potential and challenges arise in such a 5G architecture, as these technologies complement one another and their coexistence imposes several additional limits on the design of energy-efficient systems.
Keywords:
5G Networks, Massive MIMO, Energy Efficiency, Millimeter Wave, Heterogeneous Networks, Energy Harvesting
Cite Article:
"Energy Efficient MIMO Based 5G Communication Network: A Survey", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 1, page no.45 - 51, January-2022, Available :http://www.ijrti.org/papers/IJRTI2201006.pdf
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000204865
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator