<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper investigates the energy-efficient resource allocation algorithm for a massive multiple input multiple output (MIMO) system, in which each base station adapts the number of antennas to the daily load profile. Our paper examines the effect of two user location distribution (ULD) models, on the energy-efficiency (EE) of load adaptive masive MIMO system. We propose a resource allocation strategy to adapt the number of antennas based on tracking variations of ULD and cell loading maximizing the EE. We also evaluate impact of cell size, available bandwidth and output power level of the BS on EE at different cell loading.</p>
</abstract>

This paper investigates the energy-efficient resource allocation algorithm for a massive multiple input multiple output (MIMO) system, in which each base station adapts the number of antennas to the daily load profile. Our paper examines the effect of two user location distribution (ULD) models, on the energy-efficiency (EE) of load adaptive masive MIMO system. We propose a resource allocation strategy to adapt the number of antennas based on tracking variations of ULD and cell loading maximizing the EE. We also evaluate impact of cell size, available bandwidth and output power level of the BS on EE at different cell loading.

Resource Allocation and Impact Analysis of the System Parameters on Performance in Multi-Cell Massive MIMO Networks

B&H Electrical Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper investigates the energy-efficient resource allocation algorithm for a massive multiple input multiple output (MIMO) system, in which each base...

Resource Allocation and Impact Analysis of the System Parameters on Performance in Multi-Cell Massive MIMO Networks

Online veröffentlicht: 11. Jan. 2023

Seitenbereich: 1 - 10

Eingereicht: 29. Aug. 2022

Akzeptiert: 05. Nov. 2022

DOI: https://doi.org/10.2478/bhee-2022-0012

Schlüsselwörter
energy efficiency, massive MIMO, traffic load, user location distribution

© 2022 Samira Mujkić et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Resource Allocation and Impact Analysis of the System Parameters on Performance in Multi-Cell Massive MIMO Networks

Online veröffentlicht: 11. Jan. 2023

Seitenbereich: 1 - 10

Eingereicht: 29. Aug. 2022

Akzeptiert: 05. Nov. 2022

DOI: https://doi.org/10.2478/bhee-2022-0012

Schlüsselwörterenergy efficiency, massive MIMO, traffic load, user location distribution

© 2022 Samira Mujkić et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
energy efficiency, massive MIMO, traffic load, user location distribution