QoE-Based Resource Allocation in Wireless Networks: An Analysis

Wireless networks are developing quickly and can avoid providing an increasing number of services such as video streaming, online games, or real-time communication. However, the quality of experience when accessing content over these networks is still at stake; end-users are concerned with constraints like network congestion, channel quality, and resources provided. In the literature, several proposals, such as QoE-aware resource allocation strategies, have been suggested to tackle this issue. This technical abstract considers QoE-driven approaches for resource allocation in wireless networks. These approaches are employed to facilitate users' perceived QoE by selectively provisioning the users with adequate network resources according to their QoS demands. For example, the analysis takes a look at some of these strategies as well as the main factors that inform them when designing for user preferences, network conditions, and resource availability. We then discuss the benefits and limitations of other approaches, such as Fuzzy logic-based methods and game theory-based methods.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/autocom64127.2025.10957456
Citations
2
Primary Topic
Advanced Wireless Network Optimization
Type
article
Field-Weighted Citation Impact
1.46
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QoE-Based Resource Allocation in Wireless Networks: An Analysis

Sunil MP, Trapty Agarwal, M. Saravanan, Madhusmita Sahu et al.
2 citations
Advanced Wireless Network Optimization
1.46
article

QoE-Based Resource Allocation in Wireless Networks: An Analysis

Sunil MP, Trapty Agarwal, M. Saravanan, Madhusmita Sahu, M. Grover, Varun Ojha
article en
2 citations

Abstract

Wireless networks are developing quickly and can avoid providing an increasing number of services such as video streaming, online games, or real-time communication. However, the quality of experience when accessing content over these networks is still at stake; end-users are concerned with constraints like network congestion, channel quality, and resources provided. In the literature, several proposals, such as QoE-aware resource allocation strategies, have been suggested to tackle this issue. This technical abstract considers QoE-driven approaches for resource allocation in wireless networks. These approaches are employed to facilitate users' perceived QoE by selectively provisioning the users with adequate network resources according to their QoS demands. For example, the analysis takes a look at some of these strategies as well as the main factors that inform them when designing for user preferences, network conditions, and resource availability. We then discuss the benefits and limitations of other approaches, such as Fuzzy logic-based methods and game theory-based methods.

Jain University (IN), Siksha O Anusandhan University (IN), Maharishi University of Management and Technology (IN), Sathyabama Institute of Science and Technology (IN), Chitkara University (IN)
Openalex Percentile: Top 18%
Advanced Wireless Network Optimization
1.46
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QoE-Based Resource Allocation in Wireless Networks: An Analysis — Sunil MP, Trapty Agarwal, et al. · (2025) | TGRS Research Map | TGRS