Energy-Efficient Resource Reuse Scheme for D2D Communications Underlaying Cellular Networks

Hu, Jingyun; Wei, Heng; Li, Xiang; Wu, Jianhui

doi:10.1109/lcomm.2017.2711490

Cited by 53 publications

(25 citation statements)

References 12 publications

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“…All numerical results are obtained by averaging 1000 randomly implemented channel gains. In the numerical simulation process, reverse polyblock approximation algorithm is used to solve monotone optimization problem, low complexity algorithm represents the iterative convex optimization algorithm with low complexity, and maximizing energy efficiency algorithm represents the method which can maximize energy efficiency [27]. e energy efficiency is defined as the ratio of total sum rate to overall consumed power of all D2D links [27].…”

Section: Numerical Simulationmentioning

confidence: 99%

A Novel Access Control and Energy-Saving Resource Allocation Scheme for D2D Communication in 5G Networks

Sun

Zhou³

et al. 2020

Complexity

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This paper investigates access link control and resource allocation for the device-to-device (D2D) communication in the fifth generation (5G) cellular networks. The optimization objective of this problem is to maximize the number of admitted D2D links and minimize the total power consumption of D2D links under the condition of meeting the minimum transmission rate requirements of D2D links and common cellular links. This problem is a two-stage nondeterministic polynomial (NP) problem, the solving process of which is very complex. So, we transform it into a one-stage optimization problem. According to the monotonicity of objective function and constraint conditions, a monotone optimization problem is established, which is solved by reverse polyblock approximation algorithm. In order to reduce the complexity of this algorithm, a solution algorithm based on iterative convex optimization is proposed. Simulation results show that both algorithms can maximize the number of admitted D2D links and minimize the total power consumption of D2D links. The proposed two algorithms are better than the energy efficiency optimization algorithm.

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Section: Numerical Simulationmentioning

confidence: 99%

A Novel Access Control and Energy-Saving Resource Allocation Scheme for D2D Communication in 5G Networks

Sun

Zhou³

et al. 2020

Complexity

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“…In reference [20], the maximization method of the weighted system data rate is developed, which can guarantee the minimum individual CU's data rate and proportional fairness among D2D. The other category is the downlink resource allocation for D2D communications [21][22][23][24][25][26][27][28]. A distributed resource allocation scheme has been proposed in reference [21] to maximize the number of underlay D2D users.…”

Section: Introductionmentioning

confidence: 99%

“…The joint of time scheduling and power control [26] is a non-convex optimization problem, which is transformed into a nonlinear fractional programming problem. Moreover, to achieve green communication, references [27,28] resolve the energy efficiency (EE) maximization problem of downlink cellular communication system, in which the EE maximization problem for all D2D pairs is considered in reference [27], and the overall system EE maximization problem is considered in reference [28].…”

Section: Introductionmentioning

confidence: 99%

“…However, these methods in references [12][13][14][15][16][17][18][19][20][21] reuse the uplink channel, and in references [21][22][23][24][25][26][27][28] D2D users can share the downlink channel, therefore the total radio spectrum has not been fully utilized. To account for this problem, jointly uplink and downlink channel scheme [29,30] are proposed in cellular networks.…”

Section: Introductionmentioning

confidence: 99%

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Joint Uplink and Downlink Resource Allocation for D2D Communications System

Song

Han

et al. 2019

Future Internet

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In cellular networks, device-to-device communications can increase the spectrum efficiency, but some conventional schemes only consider uplink or downlink resource allocation. In this paper, we propose the joint uplink and downlink resource allocation scheme which maximizes the system capacity and guarantees the signal-to-noise-and-interference ratio of both cellular users and device-to-device pairs. The optimization problem is formulated as a mixed integer nonlinear problem that is usually NP hard. To achieve the reasonable resource allocation, the optimization problem is divided into two sub-problems including power allocation and channel assignment. It is proved that the objective function of power control is a convex function, in which the optimal transmission power can be obtained. The Hungarian algorithm is developed to achieve joint uplink and downlink channel assignment. The proposed scheme can improve the system capacity performance and increase the spectrum efficiency. Numerical results reveal that the performance of the proposed scheme of jointly uplink and downlink is better than that of the schemes for independent allocation.

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“…In [14], the authors propose an iterative gradient user association and power allocation approach with attention to load balance constraints, energy harvesting by base stations, user quality of service requirements, energy efficiency, and cross-tier interference limits. More recently, [15] analyzes the characteristics of optimal joint power control and D2D matching strategy, based on which an energy-efficient iterative algorithm for D2D communications is proposed.…”

Section: Introductionmentioning

confidence: 99%

Maximizing throughput gain via resource allocation in D2D communications

Liu

et al. 2017

J Wireless Com Network

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By reusing the cellular resources, device-to-device (D2D) communication is becoming a very promising technology that greatly enhances the spectrum utilization. To harvest the benefits that D2D communications can offer, efficient resource allocation strategy is required to guarantee the demands of quality of service (QoS) for both cellular and D2D users. This paper proposes a resource allocation scheme to alleviate the performance deterioration of the D2D communications with spectrum reuse. To maximize the overall throughput gain, the proposed scheme is designed to reduce the rate loss of cellular users and improve the rate of D2D users simultaneously in a two-step manner. Specifically, it first calculates the reuse gain for a single D2D pair and a single cellular user. Next, a maximum weight bipartite matching is further proposed to select the reuse pair to maximize the overall network throughput gain. Numerical results demonstrate that the proposed resource allocation scheme can significantly improve the network throughput performance with average user rate guaranteed.

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Energy-Efficient Resource Reuse Scheme for D2D Communications Underlaying Cellular Networks

Cited by 53 publications

References 12 publications

A Novel Access Control and Energy-Saving Resource Allocation Scheme for D2D Communication in 5G Networks

A Novel Access Control and Energy-Saving Resource Allocation Scheme for D2D Communication in 5G Networks

Joint Uplink and Downlink Resource Allocation for D2D Communications System

Maximizing throughput gain via resource allocation in D2D communications

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