Abstract
Given that, the exponential pace of growth in wireless traffic has continued for more than a century, wireless communication is one of the most influential innovations in recent years. Massive Multiple-Input Multiple-Output (M-MIMO) is a promising technology for meeting the world's exponential growth in mobile data traffic, particularly in 5G networks. The most critical metrics in the massive MIMO scheme are Spectral Efficiency (SE) and Energy Efficiency (EE). For single-cell M-MIMO uplink transmission, energy and spectral-efficiency trade-offs have to be estimated by optimizing the number of base station antennas versus the number of active users. This paper proposes an adaptive optimization technique focusing on maximizing Energy Efficiency at full spectral efficiency using a Genetic Algorithm (GA) optimizer. The number of active antennas is determined according to the change in the number of active users based on the proposed GA scheme that optimizes the EE in the M-MIMO system. Simulation results show that the GA optimization technique achieved the maximum energy efficiency of the 5G M-MIMO platform and the maximum efficiency in the trade-off process.
Highlights
Massive-MIMO relies on spatial multiplexing, which requires adequate channel information from the base station on both the up-link and down-link
Adjustment of Energy Efficiency (EE) plays a critical role in developing 5G massive MIMO systems.EE is estimated by the number of bits that can be realistically transmitted per joule as mentioned in Eq (1), which has become a significant performance metric in wireless-communications (Salh, et al 2019; Zappone and Jorswieck 2015)
This paper suggests a scheme to minimize energy consumption in the 5G wireless network scenario where very complex antenna techniques such as massive MIMO technology are used
Summary
Massive-MIMO relies on spatial multiplexing, which requires adequate channel information from the base station on both the up-link and down-link. Cell where the service quality and associated costs are compared to power consumption, it is a metric for the network’s bit-delivery reliability From another side, Spectral Efficiency (SE) can be defined as "The average number of bits of information, that can reliably have transmitted under consideration over the channel (Miao et al 2016)" as indicated in Eq (2). Page 3 of 11 125 power-efficient method to resolve the energy consumption downlink problem in OFDM networks with a large number of base stations. An adaptive massive MIMO optimization technique based on optimizing energy efficiency at full spectral efficiency is proposed in this paper. Simulation results indicate that the proposed method has adjusted the number of active antennas based on changed active users in order to maximise EE of the 5G network Massive MIMO system.
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