Optimizing 5G Performance with MIMO: A Path to Low-Latency Networks

Massive MIMO has emerged as a key milestone in the development of 5G wireless networks, offering unprecedented network capacity, spectral efficiency, and latency performance. MIMO leverages multiple antennas at both the transmitter and receiver to exploit spatial diversity and multiplexing gains, which are pivotal in mitigating signal fading, interference, and congestion in densely populated network environments. As demand grows to accommodate increasingly high-speed and reliable connections - from autonomous systems to augmented reality and ultra-reliable low-latency communication (URLLC) - latency becomes the biggest hurdle that these networks face. This paper examines the role of MIMO technology in delay reduction in 5G systems, where its ability to enhance network performance to meet the stringent latency requirements of modern applications is shown. MIMO increases throughput and maintains lower latency levels by allowing the simultaneous transmission and reception of data streams. With advanced 5G features like beamforming and massive antenna arrays, MIMO provides precise spatial filtering, thereby improving the quality of service (QoS) for end-users. Massive MIMO, an extension of conventional MIMO, pushes the boundaries of network performance by employing hundreds of antennas at base stations. Massive MIMO's ability to provide higher spectral efficiency and improved energy efficiency further complements its delay-reduction capabilities. In addition, it provides better uplink and downlink performance so that applications that are latency-sensitive and highly reliable, such as remote healthcare and real-time industrial automation, can be executed smoothly.

Authors

Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/ispcc66872.2025.11039375
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing 5G Performance with MIMO: A Path to Low-Latency Networks

M. Aravind Kumar, Pulipati John Paul, Y Meghamala
Advanced MIMO Systems Optimization
article

Optimizing 5G Performance with MIMO: A Path to Low-Latency Networks

M. Aravind Kumar, Pulipati John Paul, Y Meghamala
article en

Abstract

Massive MIMO has emerged as a key milestone in the development of 5G wireless networks, offering unprecedented network capacity, spectral efficiency, and latency performance. MIMO leverages multiple antennas at both the transmitter and receiver to exploit spatial diversity and multiplexing gains, which are pivotal in mitigating signal fading, interference, and congestion in densely populated network environments. As demand grows to accommodate increasingly high-speed and reliable connections - from autonomous systems to augmented reality and ultra-reliable low-latency communication (URLLC) - latency becomes the biggest hurdle that these networks face. This paper examines the role of MIMO technology in delay reduction in 5G systems, where its ability to enhance network performance to meet the stringent latency requirements of modern applications is shown. MIMO increases throughput and maintains lower latency levels by allowing the simultaneous transmission and reception of data streams. With advanced 5G features like beamforming and massive antenna arrays, MIMO provides precise spatial filtering, thereby improving the quality of service (QoS) for end-users. Massive MIMO, an extension of conventional MIMO, pushes the boundaries of network performance by employing hundreds of antennas at base stations. Massive MIMO's ability to provide higher spectral efficiency and improved energy efficiency further complements its delay-reduction capabilities. In addition, it provides better uplink and downlink performance so that applications that are latency-sensitive and highly reliable, such as remote healthcare and real-time industrial automation, can be executed smoothly.

Affordable and clean energy
Openalex Percentile: Top 87%
Advanced MIMO Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimizing 5G Performance with MIMO: A Path to Low-Latency Networks — M. Aravind Kumar, Pulipati John Paul, et al. · (2025) | TGRS Research Map | TGRS