A Game-Theoretical Approach for Green Power Allocation in Energy-Harvesting Device-to-Device Communications

Zhou, Zhenyu; Ma, Guifang; Xu, Chen; Chang, Zheng

doi:10.1109/vtcspring.2016.7504069

Cited by 14 publications

(5 citation statements)

References 10 publications

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“…Add to it the fact that replacing the tiny batteries of these devices takes more time and human resources than we would rather spend, the pioneering idea to prolong the lifetime of the system by incorporating energy harvesting into the system is not that surprising. Several papers in the academia have started exploring this topic, which can be found in [45][46][47][48][49][50][51][52].…”

Section: Energy Harvesting and Resource Allocation In Underlay D2d Communicationsmentioning

confidence: 99%

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Resource allocation for energy harvesting assisted D2D communications underlaying OFDMA cellular networks

Yu¹,

Guan²

2022

Preprint

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D2D communications underlaying cellular networks has become very popular recently. Inter- ference between cellular users and D2D users is one of the tricky issues we need to solve. Another challenging issue is limited battery lives. In this thesis, we address these two issues together by introducing an energy harvesting (EH) assisted D2D model where the whole transmission process is divided into multiple time slots. At the beginning of every time slot, each D2D user will update the remaining energy level to the base station (BS) and the BS will then decide whether the D2D user should harvest energy or transmit data. The objective is to maximize sum throughput for all D2D users. To solve the problem, we first adopt the NOMAD algorithm, then propose a heuristic algorithm as sub-optimal solution. Numerical results show that our proposed algorithm can achieve almost the same sum throughput at a significantly smaller time cost.

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Section: Energy Harvesting and Resource Allocation In Underlay D2d Communicationsmentioning

confidence: 99%

“…In [47], Zhenyu et al attempt to optimize the energy efficiency of a D2D system with dynamic and sporadic energy arrivals. They model the optimization problem as a non-cooperative game over a finite horizon.…”

Section: Energy Harvesting and Resource Allocation In Underlay D2d Communicationsmentioning

confidence: 99%

Resource allocation for energy harvesting assisted D2D communications underlaying OFDMA cellular networks

Yu¹,

Guan²

2022

Preprint

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“…The authors of [9] developed a novel transmission mode selection scheme for an EH-assisted heterogeneous network, wherein mobile relays harvested the energy from access points to support D2D communications. In light of the intermittent and dynamic characteristics of energy arrivals, the authors proposed an offline power allocation problem to improve the energy efficiency [10]. Further, the authors of [11] designed the joint optimal beamforming and power allocation strategies to maximize the sum-rate of EH aided D2D communications underlying cellular network.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for Energy Harvesting-Aided Device-to-Device Communications: A Matching Game Approach

et al. 2019

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In this paper, we propose an optimization problem of joint spectrum resource matching, power allocation and transmission time duration in energy harvesting (EH) aided device-to-device (D2D) communications underlying cellular network. Particularly, to increase the spectral efficiency (SE), multiple D2D links are permitted to multiplex the same resource block (RB) of cellular user (CU), and multiple cellular RBs are allowed to be reused by one D2D link. Taking into account the Quality of Service (QoS) of cellular users and the harvested energy of D2D links, our objective is to maximize the sum SE of D2D communications. Specifically, the joint problem is a mixed-integer nonlinear programming problem, which has been proved to be NP-hard. In view of this observation, a novel match-based resource allocation algorithm is designed, which contains two key sub-methods with a progressive relationship. First, a manyto-many matching game with externalities is developed, which produces spectrum reusing during each iteration. Second, on the basis of the spectrum matching, a resource allocation algorithm is presented by employing the Lagrange multiplier and Bisection search method. Finally, comprehensive simulation results are provided to demonstrate the performance of the proposed algorithm with different network parameter settings. Numerical results validate that the proposed algorithm can achieve near-optimal performance and significantly outperform the other matching strategies in aspects of SE.

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“…D2D devices need some energy source to increase the lifetime of the D2D system. Recently, energy harvesting (EH) is emerged as a potential solution to extend the lifetime of the D2D system …”

Section: Introductionmentioning

confidence: 99%

“…Simulation results prove the superiority of higher EH efficiency when it comes to performance enhancement, even though the improvement is not secured. Another D2D model was proposed in the work of Zhou et al, where dynamic energy arrivals are considered and the EE of the system is optimized using game theory. To begin, they turned the problem into a noncooperative game.…”

Section: Introductionmentioning

confidence: 99%

Resource allocation in RF energy harvesting‐assisted underlay D2D communication

Ejaz

Guan

et al. 2019

Trans Emerging Tel Tech

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Device to device (D2D) communication is capable to address the increasing demand for data rates in fifth generation (5G) and beyond networks. However, D2D communication is usually convoluted with interference scenarios since both D2D users and cellular users share the same spectrum resources. Furthermore, D2D systems can trace back to limited battery life. The battery life problem is becoming more challenging with the exponential increase of devices in the future networks. Therefore, efficient resource allocation schemes need investigation to offer better quality of service for both cellular and D2D users under the constraints of interference and energy. In this paper, we address these two problems (interference and energy) simultaneously by efficiently allocating resources in energy harvesting‐assisted underlay D2D communication. We propose a deterministic model in which D2D users harvest energy only when required. We propose a resource allocation scheme, which jointly allocate resources and transmit power. We formulate an optimization problem with an objective to maximize sum throughput of D2D system while satisfying constraints on quality of service, power, and interference. To solve the problem, we adopt the nonlinear optimization by mesh adaptive direct search algorithm to obtain the suboptimal solution. We show the effectiveness of the proposed scheme in comparison with existing algorithms through simulation results.

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A Game-Theoretical Approach for Green Power Allocation in Energy-Harvesting Device-to-Device Communications

Cited by 14 publications

References 10 publications

Resource allocation for energy harvesting assisted D2D communications underlaying OFDMA cellular networks

Resource allocation for energy harvesting assisted D2D communications underlaying OFDMA cellular networks

Resource Allocation for Energy Harvesting-Aided Device-to-Device Communications: A Matching Game Approach

Resource allocation in RF energy harvesting‐assisted underlay D2D communication

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