Fairness based resource allocation strategy towards heterogeneous QoS requirement

Cao, Jun; Zhang, Xigang

doi:10.1109/icpics52425.2021.9524120

Cited by 2 publications

(2 citation statements)

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“…These three algorithms proposed in [26], [27] and [28] do not consider interference and provide high complexity solutions. The work on [29] aims to maximize the overall capacity in a scenario with heterogeneous QoS requirements. The problem is divided into two sub-problems: power allocation and spectrum allocation.…”

Section: Related Workmentioning

confidence: 99%

On optimizing resource allocation: A comparative performance evaluation of resource allocation strategies in 5G

Dobruna,

Fazliu,

Humar

et al. 2024

Preprint

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Resource allocation continues to be a challenging issue in communication networks and its complexity is continuously increasing with the densification of the networks. Resource allocation strategies are numerous and varied, and the goal is to improve any or a number of targets, such as spectral and energy efficiency and overall throughput, among others. In this paper, selected algorithms for resource allocation in wireless communication networks are analyzed and simulations are executed to compare and highlight the importance of the way the resource algorithms are implemented to achieve efficient usage of the available spectrum. In addition, the performance of selected algorithms is evaluated in a multi-cell heterogeneous network and compared to eICIC, a widely-used interference mitigation technique used by communication networks. The results suggest that there is no single algorithm that visibly outperforms other candidates in terms of all performance criteria. Instead, their efficiency is always a consequence of a strategic choice of goals, and the targeted parameters are optimized at a price. Thus, the development and implementation of resource allocation algorithms must follow concrete usage scenarios and needs of the network and depend heavily on network performance requirements and parameters criteria.

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Section: Related Workmentioning

confidence: 99%

On optimizing resource allocation: A comparative performance evaluation of resource allocation strategies in 5G

Dobruna,

Fazliu,

Humar

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…However, there are differences between the two transmission methods in terms of purpose and application. While NOMA focuses on maximizing spectral efficiency with the goal of fair channel capacity allocation to all users, the LDM system aims to efficiently transmit multiple services simultaneously [30][31][32][33]. In wireless communication systems, Jain's fairness index (JFI) is commonly used to evaluate fairness [19].…”

Section: Problem Descriptionmentioning

confidence: 99%

Analysis on Fairness and Efficiency of the 3-PLP LDM System Using a Normalized Channel Capacity

Kim,

Kwon,

Bae

et al. 2023

Electronics

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This article presents a novel approach to investigate efficient resource allocation in the layered division multiplexing (LDM) system, a key technology in next-generation broadcasting systems. The LDM system provides diverse services, resulting in different channel capacities for each service, unlike the conventional non-orthogonal multiple access scheme that aims for equal channel capacity among users. To achieve efficient resource allocation among services, we proposed a new method that normalizes the channel capacities allocated to different services while maintaining high fairness. Our proposed method involves normalizing the channel capacities of each service and finding the point where the sum of normalized channel capacities is maximized. This point can be obtained using the Lagrange multiplier method, ensuring a high normalized fairness index. Through simulations, we confirmed that the proposed approach maintains high fairness in the LDM system and achieves the highest normalized channel capacities compared to other transmission techniques. These findings provide valuable insights into resource allocation strategies for the LDM system, enabling a fair comparison of efficiency and performance within a multi-service environment.

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Fairness based resource allocation strategy towards heterogeneous QoS requirement

Cited by 2 publications

References 14 publications

On optimizing resource allocation: A comparative performance evaluation of resource allocation strategies in 5G

On optimizing resource allocation: A comparative performance evaluation of resource allocation strategies in 5G

Analysis on Fairness and Efficiency of the 3-PLP LDM System Using a Normalized Channel Capacity

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