Performance Evaluation of MU-MIMO Under the Impact of Open Loop Traffic Dynamics
Peshal Nayak

TL;DR
This paper investigates how variable traffic patterns, including packet size variation and burstiness, impact MU-MIMO system performance, revealing significant performance degradation under certain traffic conditions through simulation analysis.
Contribution
It is the first study to analyze the effects of variable traffic on MU-MIMO performance, providing insights into throughput behavior under different traffic scenarios.
Findings
System performance deteriorates due to traffic variability even under ideal channel conditions.
Aggregate throughput remains steady up to a peak rate ratio before declining linearly with increased burstiness.
Throughputs become independent of aggregation rates under high traffic burstiness.
Abstract
Multi-user MIMO enhances throughput by simultaneously transmitting/receiving parallel data streams to/from a group of users. However, the throughput analysis does not ac-count for variable data traffic. The research objective of this project is to analyze the effect of variable traffic as it will change the system behavior. The two characteristic features of variable traffic viz. packet size variation and traffic burstiness have been considered for the analysis in this project. Their effects have been studied individually to provide an insight into the problem. Through simulations, we show that in certain scenarios the system performance of MU-MIMO deteriorates significantly due to both packet size variations and traffic burstiness individually even under ideal conditions with respect to channel variations, channel correlation, mobility, etc. Furthermore, we show that under bursty…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
