Enabling Green Wireless Networking With Device-to-Device Links: A Joint Optimization Approach

Gao, Chenfei; Tang, Jian; Sheng, Xiang; Zhang, Weiyi; Zou, Shihong; Guizani, Mohsen

doi:10.1109/twc.2015.2509987

Cited by 13 publications

(7 citation statements)

References 15 publications

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“…A D2D user can only reuse one CU resource at most, and a CU resource can only be reused by one D2D user at most, and some parameters in the literature are appropriately modified to meet the system requirements. It should be noted that the algorithm complexity in [41] is O(MN 2 ), and the proposed algorithm computational complexity is O(4MN ) which is lower and efficient.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

“…To analyze the performance advantages brought by the proposed algorithm, a comparison is performed combined with the power control (PC) to achieve energy efficiency optimization goals in [12] and the joint resource allocation and power control (JRAPC) in [41]. A D2D user can only reuse one CU resource at most, and a CU resource can only be reused by one D2D user at most, and some parameters in the literature are appropriately modified to meet the system requirements.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

“…Most of the current literature focuses on improving spectrum efficiency, and there are few literature studies on the optimization of energy efficiency. In [41], the author proposed a two-layer optimization, which converts the original fractional non-convex optimization problem into a subtractive equation optimization, and obtains the solution of the problem through an iterative method. However, the article only considers the QoS of D2D users and ignores CU service quality.…”

Section: Introductionmentioning

confidence: 99%

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Resource Allocation and Optimization in Device-to-Device Communication 5G Networks

Al-Zahrani¹,

Khan²,

Zareei³

et al. 2021

Computers, Materials &Amp; Continua

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The next-generation wireless networks are expected to provide higher capacity, system throughput with improved energy efficiency. One of the key technologies, to meet the demand for high-rate transmission, is deviceto-device (D2D) communication which allows users who are close to communicating directly instead of transiting through base stations, and D2D communication users to share the cellular user chain under the control of the cellular network. As a new generation of cellular network technology, D2D communication technology has the advantages of improving spectrum resource utilization and improving system throughput and has become one of the key technologies that have been widely concerned in the industry. However, due to the sharing of cellular network resources, D2D communication causes severe interference to existing cellular systems. One of the most important factors in D2D communication is the spectrum resources utilization and energy consumption which needs considerable attention from research scholars. To address these issues, this paper proposes an efficient algorithm based on the idea of particle swarm optimization. The main idea is to maximize the energy efficiency based on the overall link optimization of D2D user pairs by generating an allocation matrix of spectrum and power. The D2D users are enabled to reuse multiple cellular user's resources by enhancing their total energy efficiency based on the quality of service constraints and the modification of location and speed in particle swarm. Such constraint also provides feasibility to solve the original fractional programming problem. Simulation results indicate that the proposed scheme effectively improved the energy efficiency and spectrum utilization as compared with other competing alternatives.

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Section: Simulation Results and Analysismentioning

confidence: 99%

Section: Simulation Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resource Allocation and Optimization in Device-to-Device Communication 5G Networks

Al-Zahrani¹,

Khan²,

Zareei³

et al. 2021

Computers, Materials &Amp; Continua

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“…In addition to the above works, there is another branch of research that focuses on joint communication mode selection and resource allocation for D2D enabled HetNets. In particular, F-RANs have various ways of communication available to UEs, such as D2D communication mode, HPN mode, global C-RAN mode, and so on, and communication mode selection is generally coupled with resource allocation [30]. With the goal of alleviating the burden on the BBU pool, a distributed reinforcement learning based mode selection and subchannel allocation approach to improving SE is proposed for an uplink F-RAN in [31], which enables each D2D pair to autonomously decide its communication mode and utilized subchannel based on only the received individual utility.…”

Section: Radio Resource Management In the Mac Layermentioning

confidence: 99%

Recent Advances of Heterogenous RadioAccess Networks: A Survey

Sun

Peng

2018

JMM

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As a promising paradigm to provide high spectral efficiency and energy efficiency, heterogenous radio access networks (HetNets) have attracted a lot of attention from both academia and industry. This paper presents a comprehensive survey of the recent advances in HetNets, including system architecture evolutions, key techniques, and open issues. The system architectures introduced include conventional HetNets, HetNets with cloud computing, and HetNets with fog computing. In addition, a novel performance metric, together with network self-organization and access slicing, is elaborated, which can help realize a cost-efficient HetNet. Moreover, the other state-of-the-art key techniques in HetNets are surveyed, including nonorthogonal multiple access, interference suppression, and channel estimation in the physical layer, the radio resource allocation in the medium access control layer, and clustering in the network layer. Given the extensiveness of the research area, future research opportunities are identified, which are related to access slicing, HetNets driven by deep learning, and so on.

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“…Linear Programming [47][48][49][50][51] Linear programming is the method of solving a problem of optimization with linear objectives and linear equality and inequality. • Linear programming techniques are applied in order to optimise the resources in D2D cellular network.…”

mentioning

confidence: 99%

A review on resource allocation techniques in D2D communication for 5G and B5G technology

Jayakumar

Nandakumar

2020

Peer-to-Peer Netw. Appl.

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Device to Device communication is an important aspect of the fifth-generation(5G) and beyond fifth-generation (B5G) wireless networks. 5G facilitates network connectivity among a large number of devices. This tremendous growth in the number of devices requires a large number of spectrum resources to support a variety of applications and also lays a huge burden on the Base Station. D2D skips the need to forward the data to the Base Station and helps the devices to take part in direct Peer-to-Peer (P2P) transmission. This enables high-speed data transmission, efficient information transmission with improved latency and most importantly is used to offload the traffic that is laid on the Base Station. D2D has many practical issues and challenges that are briefly explained in this paper, out of which resource allocation is the main area of focus as it plays an important role in the performance of the system. The optimal allocation of resources such as power, time and spectrum can improve the system performance. Therefore, in order to identify the open research issues in the field of resource allocation in D2D communication, a detailed survey is needed. In this paper, various resource allocation algorithms and methodologies have been seriously analysed and evaluated based on the degree of involvement of the Base Station to figure out the research gap and to provide a strong theoretical basis for the research problems related to resource allocation in D2D communication.

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Enabling Green Wireless Networking With Device-to-Device Links: A Joint Optimization Approach

Cited by 13 publications

References 15 publications

Resource Allocation and Optimization in Device-to-Device Communication 5G Networks

Resource Allocation and Optimization in Device-to-Device Communication 5G Networks

Recent Advances of Heterogenous RadioAccess Networks: A Survey

A review on resource allocation techniques in D2D communication for 5G and B5G technology

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