Resource allocation optimization for device-to-device communications in cellular networks

Nguyen, Hieu V.; Duong, Quang; Shin, Oh‐Soon

doi:10.1109/ictc.2014.6983159

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…In earlier works, D2D communications have been studied in the perspective of resource allocation [26], [29]- [34]. Nguyen et al [30], [31] have proposed methods based on the bipartite graph matching problem for resource sharing among D2Ds and CUEs, to reduce the outage probability of D2D links. Zhong et al [32] have considered sum rate (SR) maximization by using game-theoretic resource allocation.…”

Section: A Related Workmentioning

confidence: 99%

Device-to-Device Communications Underlaying an Uplink SCMA System

et al. 2019

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Device-to-device (D2D) communication has been a potential solution to improve spectral efficiency of cellular systems due to frequency resource sharing. This paper considers D2D communications underlaying an uplink cellular system enabling sparse code multiple access (SCMA) technology, where the base station (BS) can decode the signals of cellular users without mutual interference. The demands for high data rate as well as low latency in massive connectivity is the main challenging requirement in D2D communications, along with ensuring the quality of service (QoS) for the on-running cellular user equipment (CUEs). To tackle the problem, the BS is designed to first assigns the codewords in a codebook to CUEs based on the lower bound of the achievable CUE rates, so that the sum rate (SR) of CUEs is maximized. With the usage of mutual-interference suppression in the SCMA-enabled system, the BS then attempts to maximize the SR of D2Ds in a transmission block through a joint power and resource allocation subject to the QoS requirements for both CUEs and D2Ds. This task is formulated as a mixed-integer non-convex programming. We propose a low-complexity two-phase algorithm of joint heuristic and inner approximation method to efficiently solve the problem. The numerical results verify that the codebook assignment problem based on the lower bound of SR is easily solved, and the proposed algorithm to maximize the SR of D2Ds outperforms existing methods.

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Section: A Related Workmentioning

confidence: 99%

Device-to-Device Communications Underlaying an Uplink SCMA System

et al. 2019

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“…Min et al [31] derive a distance threshold beyond which the cellular and D2D users can reuse the same spectrum resources. To help the BS in managing spectrum resources, an optimization method is proposed for CUs to share spectrum resources with the D2D links, where the resource allocation problem is formulated as a linear assignment problem in [32]. A reverse iterative combinatorial auction mechanism is proposed to allocate resources between CUs and D2D links in [33].…”

Section: Related Workmentioning

confidence: 99%

User Satisfaction-Aware Resource Allocation for D2D Enhanced Communication

Wang

et al. 2019

IEEE Access

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Fog radio access networks has emerged as a promising evolution path for 5G network architecture to satisfy the explosively increasing demands of high-speed data services and massive access requirements of various devices. As a key complement to this path, proximity-based device-to-device (D2D) communications with high transmission rate can better support the above services. For resource allocation in D2D communications, there are two fundamental challenges that should be addressed: 1) how to utilize the mobile characteristics and social relationships among users to enhance the user throughput and 2) how to efficiently allocate the limited resources to guarantee each user's service satisfaction. In this paper, a D2D dual-link enhanced communication model is developed to improve the throughput of D2D and cellular users (CUs) simultaneously. Then, based on the mobility characteristics and social relationships among users, an optimization problem about resource allocation is formulated and solved with the objective to maximize the user satisfaction. The simulation results verify that our proposed scheme can improve user satisfaction and throughput under limited spectrum resources simultaneously.

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Optimal Resource Sharing Amongst Device-to-Device Communication Using Particle Swarm Algorithm

Nethravathi¹,

Akhila²

2020

Evolutionary Computing and Mobile Sustainable Networks

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Resource allocation optimization for device-to-device communications in cellular networks

Cited by 7 publications

References 5 publications

Device-to-Device Communications Underlaying an Uplink SCMA System

Device-to-Device Communications Underlaying an Uplink SCMA System

User Satisfaction-Aware Resource Allocation for D2D Enhanced Communication

Optimal Resource Sharing Amongst Device-to-Device Communication Using Particle Swarm Algorithm

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