Energy and spectral efficient relay selection and resource allocation in mobile multi‐hop device to device communications

Selmi, Sawsan; Bouallègue, Ridha

doi:10.1049/cmu2.12191

Cited by 9 publications

(8 citation statements)

References 33 publications

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“…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%

“…The Relay-assisted Mode (RM) has emerged to facilitate the establishment of connections between D2D pairs that are situated at a further distance from each other. Furthermore, the RM aims to improve the performance of D2D communications [10] [11]. A Relay User Equipment (RUE) is selected from a set of idle UEs in close proximity to a D2D pair.…”

Section: Introductionmentioning

confidence: 99%

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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: 98%

Section: Introductionmentioning

confidence: 99%

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

ATTAR,

MAHYUDDIN,

Hindia

2024

Preprint

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“…Regional flow direction from production well to injection well improves system performance. Literature [3] proposes a distributed relay selection and resource allocation algorithm based on mixed strategy game, and proposes a new amplification factor and forward factor. The scheme maximizes joint spectrum and energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

Full chain integration algorithm of water sensing equipment operation data based on Internet of Things and transfer learning

Li,

Lin

et al. 2024

Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024)

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The data collected by water sensing equipment may have problems such as noise, missing value or outlier value, which will affect the accuracy and credibility of the data, and need to be cleaned and corrected. Based on this, a full-chain integration algorithm for the operation data of water sensing equipment based on the Internet of Things and transfer learning is proposed. Set up the operation data integration architecture of water awareness equipment based on the Internet of Things, use the dynamic elimination technology of redundant water awareness data to eliminate data in the process of data aggregation, build a data aggregation technology system that meets the characteristics of water awareness data, and adopt transfer learning to complete the data chain integration. The experimental results show that the linear trend of the proposed method is strong when the number of samples is 500, and the acceleration ratio curve shows a linear relationship. The accuracy rate has improved significantly.

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“…In addition, Lyapunov optimization, which is broadly used in control design systems, has been used here to optimize the bit error rate of the D2D system, optimizing the power value. Selmi and Bouallègue 7 investigated the resource allocation and energy‐efficient D2D communication using game theory and relay selection algorithms. They considered both DUs and CUs mobile while formulating the problem and solved using the mixed strategy noncooperative game and novel amplify relay selection algorithm.…”

Section: Introductionmentioning

confidence: 99%

A survey on energy‐efficient resource allocation schemes in device‐to‐device communication

Jadav

Gupta

Tanwar

2022

Int J Communication

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Summary Device‐to‐device (D2D) communication is an emanating and robust technology for next‐generation wireless networks. It aims to minimize load from the centralized base station (BS) and lets the device communicate directly in the presence or absence of it. Further, to increase the spectral efficiency, it operates in an underlay mode, where D2D devices/users reuse the spectrum of cellular users (CUs), resulting in unusual intercell/intracell interferences. Managing resources efficiently can drastically reduce the effect of interference but on the cost of high energy consumption. The research community is diligently studying the optimal methods for energy‐efficient resource allocation in D2D systems. As per the literature, there exists no comprehensive survey that studied the existing energy‐efficient resource allocation schemes in the D2D environment. Motivated from this, we present a survey on recently adopted solutions for energy‐efficient power, channel, and spectrum allocation in D2D communication, which includes artificial intelligence (AI), optimization, dynamic programming, heuristic approach, game theory, and graph models. In addition, we also highlighted the open research issues and technical challenges while allocating resources to D2D users (DUs).

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Energy and spectral efficient relay selection and resource allocation in mobile multi‐hop device to device communications

Cited by 9 publications

References 33 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

Full chain integration algorithm of water sensing equipment operation data based on Internet of Things and transfer learning

A survey on energy‐efficient resource allocation schemes in device‐to‐device communication

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