Energy-Efficient Communication in Large Scale Antenna Systems: Impact of Variable User Capacity and Number of Transmission Antennas

Isabona, Joseph; Srivastava, Viranjay M.

doi:10.2528/pierm17052306

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…Figure 3: Method of selecting antenna in massive MIMO system [14] The antenna selection algorithms generate the chosen vector based on a selection condition [15]:…”

Section: Methodsmentioning

confidence: 99%

RETRACTED: Energy Efficient Antenna Selection Method for Massive MIMO System in Downlink Scenario

kassahun

2024

Preprint

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Massive MIMO systems provide fast data speeds with a large number of antennas which leads to arise in the power consumption of the system. The basic concept behind massive MIMO is that base stations (BSs) with lots of antenna components supporting terminals over identical time-frequency spectrum. A promising method to improve energy efficiency for both present and future wireless communication systems is the massive multiple-input multiple-output (MIMO) system, which uses a large number of antennas. An increasing amount of energy is required to support the required quality of service due to the exponential expansion and requirement for high-speed wireless communications. As a result, energy-efficient communication has gained a lot of attention in transmission methods for limited energy resources. However, radio frequency (RF) chains can consume a significant amount of power, which presents significant issues. A common feature of numerous antennas is several RF chains, which are made up of filters, ADCs, mixers and amplifiers. Consequently, many RF chains improve the device's cost and hardware complexity. This study addresses the problem of transmitting RF chain configuration under total power limits in large MIMO systems with the goal of optimizing energy efficiency. This creates an optimization problem that decides how many antennas the gadget can employ in order to operate with maximum energy efficiency. The key goal is to choose a fixed number of antennas such that, based on the number of active user terminals that may vary over time, the device can function with a reduced subset of antennas. Thus, the RF chain structure may be ascertained and a minimum number of transmission antenna elements are selected to ensure energy efficiency by using antenna selection methods. The simulation's findings demonstrate how random antenna selection (RANDOM ANPUT SECTION) affects a huge MIMO system's energy efficiency when it uses NOMA and modulation methods to reduce power consumption. To maximize the capacity that was lost as a result of antenna selection, this NOMA and modulation scheme were employed.

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“…Figure 3: Method of selecting antenna in massive MIMO system [14] The antenna selection algorithms generate the chosen vector based on a selection condition [15]:…”

Section: Methodsmentioning

confidence: 99%

RETRACTED: Energy Efficient Antenna Selection Method for Massive MIMO System in Downlink Scenario

kassahun

2024

Preprint

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“…Energy-efficient transmission is an important factor for the design of future wireless communication systems. The research work presented in [3] shows that enhanced throughput and better energy efficiency can be obtained in the case of precoding based massive MIMO systems. This illustrates the significance of massive MIMO antenna technology for data throughput and energy efficiency maximization in future 5G systems.…”

Section: Introductionmentioning

confidence: 99%

Efficient Antenna Selection Strategy for a Massive Mimo Downlink System

Shiney¹,

Ganesan²,

Asis³

2020

PIER M

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This paper focuses on an efficient antenna selection strategy for a distributed massive MIMO system. The objective of the proposed algorithm is to attain ergodic achievable rate as much as possible with antenna selection in a constrained capacity limited system. In this proposed work, the initial selection of antenna set is based on channel amplitude and correlation which then follows an iterative approach in order to select the best subset of transmit antenna elements from the overall antenna set. The proposed scheme significantly outperforms, in terms of ergodic rate with low complexity, the prevailing transmit antenna selection methods. Simulation results show that the performance of the proposed antenna selection method is close to select all transmission with a minimum throughput loss. Thus the proposed method is best suited for a large scale distributed Massive MIMO system without degradation in system performance and is of low computational complexity.

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Energy-Efficient Communication in Large Scale Antenna Systems: Impact of Variable User Capacity and Number of Transmission Antennas

Cited by 2 publications

References 18 publications

RETRACTED: Energy Efficient Antenna Selection Method for Massive MIMO System in Downlink Scenario

RETRACTED: Energy Efficient Antenna Selection Method for Massive MIMO System in Downlink Scenario

Efficient Antenna Selection Strategy for a Massive Mimo Downlink System

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