Social-aware relay selection and energy-efficient resource allocation for relay-aided D2D communication

Cao, Jing; Song, Xin; Xie, Zhigang; Li, Suyuan; Si, Fangyuan

doi:10.1016/j.phycom.2022.101665

Cited by 2 publications

(4 citation statements)

References 29 publications

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“…In 2022, Cao et al [18] have implemented an RA scheme for maintaining high energy efficiency (EE) in D2D based on a social-aware relay selection approach. The conventional cellular relay was replaced by a D2D user to enhance the model's flexibility.…”

Section: Related Workmentioning

confidence: 99%

“…Some of the techniques' features and difficulties are listed in Table 1. Dinkelbach's theory [18] produces higher-quality outcomes. It doesn't present any additional factors.…”

Section: Problem Statementmentioning

confidence: 99%

“…The designed joint optimal RA and relay selection scheme for the D2D communication system was executed in MATLAB 2020a with a chromosome length of 3 and [1 + 5] , a maximum iteration count of 250, and an iteration count of 10. The performance of the generated scheme was contrasted against several conventional joint relay selection and RA schemes such as "sand cat swarm optimization (SCO) [35], moth-flame optimization algorithm (MFOA) [36], FDA [31], and CSA [32], state-of-the-art methods like Dinkelbach theory [18], stable matching theory [19], EHA-CRD [21], and OS-RNNC [25], and with conventional prediction techniques like neural network (NN) [37], support vector machine (SVM) [38], MLP [34], and K-nearest neighbor (KNN) [39]".…”

Section: Objective Model Of Amlp-based Optimal Resource Allocation An...mentioning

confidence: 99%

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An adaptive MLP-based joint optimization of resource allocation and relay selection in device-to-device communication using hybrid meta-heuristic algorithm

Chennaboin,

Nandakumar

2024

J Wireless Com Network

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Enhancement in both energy efficiency and spectral efficiency in cellular networks is made possible by means of an advanced technique called device-to device (D2D) communication. The enhancement of these efficiencies is done by utilizing the cellular user (CU) resources once again to make communication with nearby cellular devices in an effective manner by spectral means. As the D2D communication technology is capable of providing a direct communication link with nearby devices effectively with enhanced spectral efficacy, this approach is considered as an ideal solution for the futuristic cellular communication network. A flexible and reliable relay-assisted communication by means of D2D technology is required that acts as an intermediate relay when the attenuation between the channels across the D2D devices becomes high. The throughput of the system is increased by utilizing D2D communication technology as it uses direct data transmission within cellular devices. When the cellular user is far apart from one another, the data loss in the D2D communication system is minimized with the utilization of the relay. When the channels are good, then the relay nodes (RNs) serve the cellular user. However, it is noted that the D2D systems are affected by issues such as higher consumption of energy and spectral sharing. Also, the sum rate gets degraded as a result of mutual interference between resource-sharing cellular devices in the relay-assisted D2D communication system. The transmission of the data in a traditional relay-assisted D2D communication system is carried out between the D2D receiver (DR) and D2D transmitter (DT) only with the utilization of its own energy by the RN. The issues in relay selection and resource allocation in the conventional joint resource allocation schemes are tackled by executing a scheme for performing the task of optimal relay selection and joint resource allocation. The enhancement of the overall sum rate in the D2D communication is the main motive behind the implemented scheme. This goal is attained along with the minimization of the link rates in the cellular and D2D networks. The ideal selection of the relay and the execution of the joint resource allocation are done with the utilization of a new optimization scheme called the hybrid flow direction with the chameleon swarm algorithm (HFDCSA), in which the flow direction algorithm (FDA) is fused along with chameleon swarm algorithm. This optimal selection of the relays is assisted by considering constraints like the network’s sum rate and energy efficiency in the network to achieve high performance. The data obtained from distinct sources are given to the adaptive multi-layer perceptron (AMLP) in which optimal resource allocation and the relay selection are performed with the help of the suggested HFDCSA. The parameters in the MLP are tuned by the same HFDCSA. Finally, the performance validation is conducted in the stage to verify the working of the suggested approach.

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Section: Related Workmentioning

confidence: 99%

“…Some of the techniques' features and difficulties are listed in Table 1. Dinkelbach's theory [18] produces higher-quality outcomes. It doesn't present any additional factors.…”

Section: Problem Statementmentioning

confidence: 99%

Section: Objective Model Of Amlp-based Optimal Resource Allocation An...mentioning

confidence: 99%

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An adaptive MLP-based joint optimization of resource allocation and relay selection in device-to-device communication using hybrid meta-heuristic algorithm

Chennaboin,

Nandakumar

2024

J Wireless Com Network

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“…The majority of the literature focused on one-way relaying (OWR) D2D communication, where four phases are required to exchange messages between the two terminals. For instance, the authors in [46] proposed an OWR energyefficient resource allocation (RA) scheme with optimal relay selection (RS) to improve the EE of the D2D communication, while the integration between OWR D2D communication and Non-orthogonal multiple access (NOMA) with optimal PA strategy to maximize the ergodic sum-rate was presented in [47]. However, the two-way relaying (TWR) approach needs only two phases which achieves higher throughput as well as lower power consumption [48], [49].…”

Section: Introduction and Related Workmentioning

confidence: 99%

An Optimal Balanced Energy Harvesting Algorithm for Maximizing Two-Way Relaying D2D Communication Data Rate

et al. 2022

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Combining energy harvesting (EH) and device-to-device (D2D) communication underlaying 5G cellular networks is a very promising direction to improve both energy and spectral efficiencies. Unlike conventional relay-aided D2D communication that assumes one-way relaying (OWR) protocols, this paper proposes a two-way relaying (TWR) model. It aims to maximize the TWR D2D link rate that shares the uplink (UL) resources of the conventional cellular user (CU) considering the quality of service (QoS) constraints of all users. Besides, the relays are considered to harvest renewable energy (RE) from the ambient environment by relying on an attached solar panel. Also, they can harvest radio frequency (RF) energy from the received signal based on the power splitting (PS) EH protocol. Assuming that the UL resource allocation (RA) is already performed, the paper's objective is to jointly optimize the transmission power of all users in addition to the PS factor of relays based on the well-known meta-heuristic algorithm particle swarm optimization (PSO). Also, the best relay is selected by relying on the delimited area (DA) mechanism and the balanced residual energy (BRE) leading to TWR D2D link rate maximization and better energy efficiency (EE). The performance of the proposed algorithm is investigated through the results as well as comparing its performance to two of the most recent relay-aided D2D algorithms.INDEX TERMS Device-to-device, two-way relaying, energy harvesting, power splitting, particle swarm optimization, power allocation, decode-and-forward, relay selection.

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Social-aware relay selection and energy-efficient resource allocation for relay-aided D2D communication

Cited by 2 publications

References 29 publications

An adaptive MLP-based joint optimization of resource allocation and relay selection in device-to-device communication using hybrid meta-heuristic algorithm

An adaptive MLP-based joint optimization of resource allocation and relay selection in device-to-device communication using hybrid meta-heuristic algorithm

An Optimal Balanced Energy Harvesting Algorithm for Maximizing Two-Way Relaying D2D Communication Data Rate

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