Dynamic Sectorization and parallel processing for device-to-device (D2D) resource allocation in 5G and B5G cellular network

Mohammed, V. Noor; Ambastha, Prasun; Gautam, Sukriti; Jain, Rishabh; Hariharan, S.; Muthukaruppan, Lakshmanan

doi:10.1007/s12083-020-00949-8

Cited by 13 publications

(9 citation statements)

References 16 publications

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“…Consequently, their examined framework positively maybe the necessities of cutting-edge framework, and this could be an insightful decision to dispatch D2D correspondence in brilliant urban communities. Mohamad et al [18] proposed methods of channel allocation in device-to-device communication underlay cellular network. The eNB equipped with directional receiving wires to help dynamic sectorization method significantly works on the presentation of D2D clients when contrasted with a non-sectored single cell organization.…”

Section: Related Workmentioning

confidence: 99%

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Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Jatav

Datar²,

Malviya³

2021

Intelligent Sustainable Systems

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The proposed algorithm uses the particle swarm optimization algorithm. The applied particle swarm intelligence defines dual constraints function for the resource allocation in shared environments. The optimization process reduces the transmit power of D2D users and cellular users and increases the efficiency of the communication mode. The proposed algorithm describes the way of communication in the dedicated system model of the D2D communication interface. The proposed algorithm reduces the inference links and enhances the quality of service for the communication system. The incorporation of particle swarm optimization algorithm maintains the equilibrium state in both users. The proposed algorithm simulates in MATLAB environments and estimates the standard parameters. The analysis of results indicates that the proposed algorithm is better than the existing algorithms of D2D communication.

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Section: Related Workmentioning

confidence: 99%

“…The dimension space of resource and device map in three-dimensional resource management estimates the pair of devices and improves the efficiency of resource and energy in dedicated networks. MPSO algorithms are used to reduce energy efficiency [18,19]. The two main advantages are the ability to solve complex optimization and parallelism.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Jatav

Datar²,

Malviya³

2021

Intelligent Sustainable Systems

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“…Many conventional algorithms were proposed in previous studies 6–30 which explored about resource and power allocation techniques for the DUEs. In Kim and Dong, 6 Iterative Hungarian method was used for the resource allocation of the D2D users and throughput of the system was analyzed.…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…7 Hyper graph coloring method was used for the resource allocation in D2D network so that interference was minimized and system throughput was maximized. 8 Lagrangian multiplier vector method was used to maximize the system throughput by keeping a minimum Quality of Service (QoS) in Han et al 9 Dynamic sectorization-based resource allocation in D2D network was proposed to minimize the cochannel interference and processing delay in Mohamad et al 10 A maximum weighted bipartite matching scheme was used for the resource allocation in Ba et al 11 An efficient resource allocation for underlay D2D communication based on nonorthogonal multiple access (NOMA) has been discussed in Alemaishat et al 12 In Rajkumar et al, 13 spectral efficiency of the system was improved using distance-based interference mitigation algorithm. In Mohamad et al, 14 system sum rate was improved using distance and differential equation based algorithm.…”

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confidence: 99%

Energy optimized resource and power allocation in an uplink‐based underlay device‐to‐device communication for 5G network

Nagarajan

Mohammed

2022

Int J Communication

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Summary Fifth generation (5G) and beyond fifth generation (B5G) networks are expected to provide more energy efficiency, spectral efficiency, and very high data rate with minimum latency to an ultradense environment. To meet the requirements of 5G and B5G standards, the network infrastructure can be network‐centric approach where the network is modified with respect to new radio signals and waveforms. The other approach is device centric where the existing network infrastructure can be efficiently utilized. Device‐to‐Device (D2D) communication is a key technique in device centric approach that supports 5G and B5G networks. We propose a Sequential Best Throughput Seek Algorithm (SBTSA), to compute the interference threshold for each Cellular User Equipment (CUE), and optimum resource blocks (RBs) are assigned to D2D pairs which provide best throughput to D2D pairs without affecting the Quality of Service (QoS) of the CUEs. The transmit power is optimized using genetic algorithm (GA) to effectively handle the interference between cellular users and D2D pairs. Proposed algorithm is compared with existing methods, and best results are obtained in terms of system throughput, battery utilization and energy efficiency.

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“…Mohamad et al proposed a dynamic sectorization method in which eNB can vary the number of sectors dynamically and allocated the resource block to D2D users. According to their study, the signal-to-interference-noise-ratio (SINR) and the network overall performance were improved [13]. Amin et al proposed a resource allocation algorithm based on the so-called Q-learning, in which the multiagent learners from multiple D2D users were created, and the system throughput was determined by the state-learning of Q value list.…”

Section: Introductionmentioning

confidence: 99%

Ultrahigh‐Dimensional Model and Optimization Algorithm for Resource Allocation in Large‐Scale Intelligent D2D Communication System

et al. 2021

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The optimal resource allocation in the large-scale intelligent device-to-device (D2D) communication system is of great importance for improving system spectrum efficiency and ensuring communication quality. In this study, the D2D resource allocation is modelled as an ultrahigh-dimensional optimization (UHDO) problem with thousands of binary dimensionalities. Then, for efficiently optimizing this UHDO problem, the coupling relationships among those dimensionalities are comprehensively analysed, and several efficient variable-grouping strategies are developed, i.e., cellular user grouping (CU-grouping), D2D pair grouping (DP-grouping), and random grouping (R-grouping). In addition, a novel evolutionary algorithm called the cooperatively coevolving particle swarm optimization with variable-grouping (VGCC-PSO) is developed, in which a novel mutation operation is introduced for ensuring fast satisfaction of constraints. Finally, the proposed UHDO-based allocation model and VGCC-PSO algorithm as well as the grouping and mutation strategies are verified by a comprehensive set of case studies. Simulation results show that the developed VGCC-PSO algorithm performs the best in optimizing the UHDO model with up to 6000 dimensionalities. According to our study, the proposed methodology can effectively overcome the “curse of dimensionality” and optimally allocate the resources with high accuracy and robustness.

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Dynamic Sectorization and parallel processing for device-to-device (D2D) resource allocation in 5G and B5G cellular network

Cited by 13 publications

References 16 publications

Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Energy optimized resource and power allocation in an uplink‐based underlay device‐to‐device communication for 5G network

Ultrahigh‐Dimensional Model and Optimization Algorithm for Resource Allocation in Large‐Scale Intelligent D2D Communication System

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