A Joint Algorithm for Resource Allocation in D2D 5G Wireless Networks

Al‐Wesabi, Fahd N.; Khan, Imran; Alamgeer, Mohammad; Al-Sharafi, Ali M.; Choi, Bong Jun; Aldosary, Abdallah; Mohammad, Ehab Mahmood

doi:10.32604/cmc.2021.018122

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…In the proposed scenario S2, the proposed method achieves a higher probability of ` using direct D2D mode than scenarios S1 and S3 due to the short distance between source and destination D2D pairs, and the low effectiveness of the cross-tier interference from the gNB. When the number of pairs ranges (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), scenario S3 shows better performance than proposed scenario S1 due to the proximity of D2D pairs. Scenario S1 outperforms scenario S3 when the number of pairs ranges (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40) because of the severe cross-tier interference between D2D pairs in the proposed scenario S3.…”

Section: Table I Simulation Parametersmentioning

confidence: 90%

“…The observed decrease in the probability of using the LM is directly proportional to the corresponding rise in the number of D2D pairs. The performance of the proposed method in scenario S3 outperforms the performance of scenarios S1 and S2 when the number of pairs ranges (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35). The reason is that most D2D pairs are located in the center of the cell around the gNB.…”

Section: Table I Simulation Parametersmentioning

confidence: 95%

“…This paper enhanced the data rate of D2D networks. The authors in [21] presented an optimization approach that implements the game-matching concepts. They introduced an approach for Quality of Experience (QoE) double-layer game matching, that efficiently addresses the complex problem of channel allocation by dividing it into two different layers.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint Mode Selection and Resource Allocation for Underlaying D2D Communications: Matching Theory

ATTAR,

MAHYUDDIN,

Hindia

2024

Preprint

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Device-to-Device (D2D) communications, regarded as a crucial technology for the Beyond Fifth-Generation (B5G) wireless networks, provide substantial benefits including elevated spectrum effectiveness, improved coverage, and traffic offloading. The mode selection and channel allocation play an Important role in ensuring the Quality of Service (QoS) and enhancing user experience in D2D communications. The dynamic switching of communication modes by D2D User Equipments (UEs) depends on the extent of shared resources among D2D pairs. In this paper, we examine the issue of joint mode selection and resource allocation for D2D communication within a cellular network in an uplink scenario. The main objective of this study is to optimize the overall sum rates of the network, while simultaneously guaranteeing the QoS requirements. Three communication modes are considered which are Direct Mode (MD), Relay-assisted Mode (RM), and Local route Mode (LM). In addition, each D2D pair has the option to be allocated either a dedicated channel or a reused channel. We present an innovative approach for the simultaneous determination of mode selection and channel allocation in D2D communication. The proposed approach is based on greedy strategy and a modified many-to-many matching technique that effectively selects the best communication mode and assigns the optimal channel for each D2D pair, respectively. The simulation results illustrate that the presented approach exhibits a significant improvement in the network performance when compared to the benchmark algorithms.

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Section: Table I Simulation Parametersmentioning

confidence: 90%

Section: Table I Simulation Parametersmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint Mode Selection and Resource Allocation for Underlaying D2D Communications: Matching Theory

ATTAR,

MAHYUDDIN,

Hindia

2024

Preprint

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“…Mobile communication has fundamentally altered peoples' lifestyles over the past few decades, but people have continued to seek higher-performance mobile communication devices. The smartphone communications network has begun a new phase of advancement, such as the E5G mobile communication system stage, to acclimate to the conceptual environments of the E5G technologies with ongoing wide support, large hotspots, and large links with low consumption, reduced latency and highly reliable [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Addressing the Issues and Developments Correlated with Envisaged 5G Mobile Technologies: Comprehensive Solutions

Kocher

2023

CMC

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Fifth Generation (5G) communications are regarded as the cornerstone to household consumer experience improvements and smart manufacturing revolution from the standpoint of industries' objectives. It is anticipated that Envisaged 5G (E5G) mobile technology would be operational in certain developed countries by 2023. The Internet of Things (IoTs) will transform how humans live when combined with smart and integrated sensing devices, such as in-home sensing devices. Recent research is being carried out all over the world to produce a new technique that can be crucial in the success of the anticipated 5G mobile technology. High output, reduced latency, highly reliable, greater scalability, high performance, capacity, bandwidth efficiency, virtual open-air transmission, and efficient energy mobile wireless communications are all being investigated currently. In this work, a comprehensive path for addressing the difficulties and developments associated with 5G mobile technology is provided. The debate and description of a complete analysis of current situations, certain characteristics and prospective scenarios, important technologies, problems and advances, and spectrum allocation of envisioned 5G mobile technologies are provided. Furthermore, this paper analyzes the most notable elements of 5G mobile technology, such as Cognitive Radio (CR), flexibility, accessibility, and cloud-based service offers, which will assure 5G mobile technology's dominance as the main protocol for international communication. Eventually, this paper provides a method for integrating CR with current wireless communication systems, the necessity for further evolution of the E5G network, and the need for comprehensive consideration of architecture evolution and function enhancement to enhance the E5G mobile technologies.

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Virtual Network Resource Allocation Algorithm Based on Coefficient of Variation and Order Relationship

Situ

Zou

Yuan³

2022

Communications in Computer and Information Science

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A Joint Algorithm for Resource Allocation in D2D 5G Wireless Networks

Cited by 8 publications

References 31 publications

Joint Mode Selection and Resource Allocation for Underlaying D2D Communications: Matching Theory

Joint Mode Selection and Resource Allocation for Underlaying D2D Communications: Matching Theory

Addressing the Issues and Developments Correlated with Envisaged 5G Mobile Technologies: Comprehensive Solutions

Virtual Network Resource Allocation Algorithm Based on Coefficient of Variation and Order Relationship

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