Energy- and Spectral-Efficiency Trade-Off for D2D-Multicasts in Underlay Cellular Networks

Bhardwaj, Ajay; Agnihotri, Samar

doi:10.1109/lwc.2018.2794353

Cited by 49 publications

(19 citation statements)

References 10 publications

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“…The optimal power control for EE of D2D communication underlaying cellular networks is analyzed in the work of Yang et al, where only a single band is considered. In the work of Bhardwaj and Agnihotri, the EE maximization problem with a constraint on SE is investigated in the D2D communication underlay cellular network on multiple bands. A power allocation algorithm is proposed to obtain optimum power of D2D users.…”

Section: Introductionmentioning

confidence: 99%

Energy‐efficient power allocation for device‐to‐device communications underlaid cellular networks using stochastic geometry

Zabetian

Mohammadi

Masoudi

2019

Trans Emerging Tel Tech

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In this paper, we study an energy efficiency maximization problem in uplink for device-to-device (D2D) communications underlaid with cellular networks on multiple bands. Utilizing stochastic geometry, we derive closed-form expressions for the average sum rate, successful transmission probability, and energy efficiency of cellular and D2D users. Then, we formulate an optimization problem to jointly maximize the energy efficiency of D2D and cellular users and obtain optimum transmission power of both D2D and cellular users. In the optimization problem, we guarantee the quality-of-service of users by taking into account the success transmission probability on each link. To solve the problem, first we convert the problem into canonical convex form. Afterwards, we solve the problem in two phases: energy efficiency maximization of devices and energy efficiency maximization of cellular users. In the first phase, we maximize the energy efficiency of D2D users and feed the solution to the second phase where we maximize the energy efficiency of cellular users. Simulation results reveal that significant energy efficiency can be attained, eg, 10% energy efficiency improvement compared to fix transmission power in a high-density scenario.Trans Emerging Tel Tech. 2019;30:e3768.wileyonlinelibrary.com/journal/ett of D2D communications while diminishing the performance degradation of the cellular system due to new sources of interference. In particular, power control is one of the promising approaches that mitigates interference. 5 In the work of Elsawy et al, 6 a power control scheme is proposed to manage the cross-tier interference between cellular and D2D users. Zhang et al 7 proposed an interference-aware algorithm for power control in D2D communications underlaying cellular networks. In the work of Memmi et al, 8 a single-cell D2D underlay cellular network is considered. Centralized and distributed algorithms are proposed to find the users' optimal power transmission. Dynamic power control for a D2D communication underlaying uplink multicell network is investigated in the work of Jiang et al, 9 considering interference mitigation. However, power control is a key technique to manage the interference; both the EE and quality-of-service (QoS) are still influenced by the interference in the network.EE is a metric quantifying the efficiency of resource utilization. In fact, EE not only brings considerable economic benefits into the network but also can be interpreted as concerning about the environment. 10 Extensive research studies have been devoted to the EE of the system. EE maximization in the D2D communication underlaying cellular network in the cloud radio access network is studied by Zhou et al. 1 A closed-form expression for EE is derived in the work of Altman et al 11 by utilizing stochastic geometry tool. In this study, EE is maximized by optimizing the transmit power and density of the BS in cellular networks. An energy-efficient power control algorithm is proposed in the work of Wu et al 12 to share resources among th...

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Section: Introductionmentioning

confidence: 99%

Energy‐efficient power allocation for device‐to‐device communications underlaid cellular networks using stochastic geometry

Zabetian

Mohammadi

Masoudi

2019

Trans Emerging Tel Tech

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“…By using D2D technology, cellular network users can directly communicate with each other, and thus it offloads data traffic of the base station (BS) in a more and more dense cellular network. Recently, many works have suggested combing D2D with other technologies in different environments [15,16]. From the following literatures, we can also draw a conclusion that D2D is closely integrated with other communication technologies [17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 80%

A Novel Resource Allocation Scheme in NOMA-Based Cellular Network with D2D Communications

Wang

Song

2020

Future Internet

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Non-orthogonal multiple access (NOMA) has become a promising technology for 5G. With the support of effective resource allocation algorithms, it can improve the spectrum resource utilization and system throughput. In this article, a new resource allocation algorithm in the NOMA-enhanced cellular network with device-to-device (D2D) communications is proposed, in which we use two new searching methods and an optimal link selection scheme to maximize the system throughput and limit the interferences of the NOMA-based cellular network. In the proposed joint user scheduling, tree-based search power allocation and link selection algorithm, we simplify the solving process of previous methods and set up the optimization function, which does not need to be derivable. With successive interference cancellation (SIC) technology, we give conditions for the D2D devices accessing into the network. We also propose a suboptimal scheme to schedule cellular users and D2D devices into multiple subchannels, which reduces the complexity of the exhaustive search method. Through consistent tree-based searching for the power allocation coefficients, we can get the maximum arithmetic average of the system sum rate. Meanwhile, for the existence of the part of interferences from larger power users which can be canceled by the SIC in NOMA systems, the search options are decreased for increasing the search rate of the power allocation algorithm. Moreover, we propose a distance-aware link selection scheme to guarantee the quality of communications. In summary, the proposed algorithm can improve the system throughput, has a low complexity cost and potentially increases spectral utilization. Numerical results demonstrate that the proposed algorithm achieves a higher data transmission rate than some of the traditional methods and we also investigate the convergence and the computational complexity cost of the joint algorithm.

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“…The authors in [4] propose a new joint channel and power allocation algorithm to maximize the network achievable throughput, control the interference, and improve the energy efficiency of the user devices. A. Bhardwaj et al study the tradeoff between spectral efficiency and energy efficiency in a single cell D2D integrated cellular network, where multiple D2D multicast groups may share the uplink channel with multiple cellular users [6]. Reference [7] formulates a novel user clustering problem for a D2D multicast content sharing scenario, which aims to maximize the energy efficiency of the whole network.…”

Section: Related Workmentioning

confidence: 99%

D2D Enabled Cellular Network Spectrum Allocation Scheme Based on the Cooperative Bargaining Solution

Kim

2020

IEEE Access

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In 5G cellular networks, device-to-device (D2D) communication has undoubtedly become a general trend to increase spectral efficiency while reducing communication delay. In particular, D2D technology is able to bear more and more services, which help user-centred and personalized services in future wireless networks. However, several technical issues and challenges are associated with the deployment of D2D communications. In this paper, we tackle the spectrum allocation problem of D2D enabled cellular networks. By employing the major ideas of cooperative game theory, we design a novel two-stage resource allocation protocol based on the weighted utilitarian and meta bargaining solutions. The purpose of bargaining solutions is to clarify what could be the best solution when game players share a surplus that they can jointly generate. According to the main advantages of step-by-step interactive bargaining mechanism, our proposed solution takes various benefits in a rational way. Some simulation results and numerical analysis are provided to confirm the effectiveness of our two-stage bargaining approach and validate the accuracy of the proposed spectrum allocation scheme. Finally, we address some challenges and identify research areas for the future study. INDEX TERMS D2D multicasting, spectrum allocation, meta bargaining solution, weighted utilitarian bargaining solution, cooperative game theory.

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Energy- and Spectral-Efficiency Trade-Off for D2D-Multicasts in Underlay Cellular Networks

Cited by 49 publications

References 10 publications

Energy‐efficient power allocation for device‐to‐device communications underlaid cellular networks using stochastic geometry

Energy‐efficient power allocation for device‐to‐device communications underlaid cellular networks using stochastic geometry

A Novel Resource Allocation Scheme in NOMA-Based Cellular Network with D2D Communications

D2D Enabled Cellular Network Spectrum Allocation Scheme Based on the Cooperative Bargaining Solution

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