Spectrum-efficient mode selection and fair resource allocation for D2D-enabled uplink/downlink MC-NOMA networks

Gholamrezaee, Alireza; Farrokhi, Hamid

doi:10.1016/j.dsp.2023.104050

Cited by 8 publications

(7 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance of the proposed scenario S1 and the proposed scenario S3 are almost the same and outperformed the benchmark algorithms. The average data rate of the proposed scenario S2 outperforms [29], [18], and [17] by 13.5%. 8 shows the average data rate attained by the proposed approach versus different values of the SINR threshold.…”

Section: Table I Simulation Parametersmentioning

confidence: 95%

“…Furthermore, in the proposed scenario S1, several D2D pairs are allocated at the edge of the cell. The average data rate of the proposed scenario S2 outperforms [29], [18], and [17] by 32.3%, 63.1%, and 66.2%, respectively. In Fig.…”

Section: Table I Simulation Parametersmentioning

confidence: 95%

“…In Fig. 7, the average data rate is demonstrated for various number of channels (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20). The proposed method clearly achieves a higher average data rate in the proposed scenario S2 when compared to proposed scenario S1, proposed scenario S3, and benchmark algorithms.…”

Section: Table I Simulation Parametersmentioning

confidence: 98%

“…We assume that the path-loss model is given in [31]. The performance of our proposed approach is compared to that of the greedy algorithm in [29], the swap one-to-one matching algorithm proposed in [17], and the energy-efficient matching algorithm in [18]. In Fig.…”

Section: Table I Simulation Parametersmentioning

confidence: 99%

“…Considerable research has been extensively discussed in the existing body of literature around the issues of mode selection and resource allocation for D2D communication inside cellular networks. In [17], the authors investigated the optimization issue associated with mode selection and resource allocation for user pairs in a D2D-enabled Non-Orthogonal Multiple Access (NOMA) network. The problem of mode selection and channel allocation has been solved by a many-to-one matching algorithm.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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

ATTAR,

MAHYUDDIN,

Hindia

2024

Preprint

View full text Add to dashboard Cite

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.

show abstract

Section: Table I Simulation Parametersmentioning

confidence: 95%