Energy-Efficient Resource Allocation for D2D Communications in Cellular Networks

Hoang, Tuong Duc; Le, Long Bao; Le‐Ngoc, Tho

doi:10.1109/tvt.2015.2482388

Cited by 119 publications

(68 citation statements)

References 33 publications

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“…However, they did not consider the power allocation for cellular users. The authors of Hoang et al, formulated an energy‐efficient resource allocation problem considering multiple bands; however, the QoS is limited to the minimum required rate for cellular users. The D2D communication underlaying cellular networks on multiple bands is considered by Zhang et al, and the derivative‐based algorithm is applied to maximize the EE of D2D users; however, they did not optimize the cellular users transmission power.…”

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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“…Indeed, here we consider a given benefit for each user-resource assignment, removing the optimization variables from the argument of the logarithm function as in (9). Moreover, differently from (8), here the objective function depends on at most F scalar values to be retrieved from every other player of the game (i.e., the rate sensitivity in (11) for all assigned RBs).…”

Section: B Solution Based On Better Response Dynamicmentioning

confidence: 99%

Potential games for subcarrier allocation in multi-cell networks with D2D communications

Penda

Abrardo

Moretti

et al. 2016

2016 IEEE International Conference on Communications (ICC)

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Abstract-This paper investigates the subcarrier allocation problem for uplink transmissions in a multi-cell network, where device-to-device communications are enabled. We focus on maximizing the aggregate transmission rate in the system accounting for both inter-and intra-cell interference. This problem is computationally hard due to its nonconvex and combinatorial nature. However, we show that it can be described by a potential game, and thus a Nash equilibrium can be found using iterative algorithms based on best/better response dynamics. In particular, we propose a simple iterative algorithm with limited signaling that is guaranteed to converge to an equilibrium point, corresponding to a local maximum of the potential function. Using extensive simulations, we show that the algorithm converges quickly also for dense networks, and that the distance to the true optimum is often small, at least for the small-sized networks for which we were able to compute the true optimum.

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“…In particular, deviceto-device (D2D) communications exploiting the cellular spectrum to establish direct high-speed and reliable communications among wireless devices is an important technology [66][67][68][69]. D2D communications can attain different benefits including enhancement of spectrum and energy efficiency, improving communication delay and reliability, reduction of traffic in the core network, and support of various emerging wireless applications such as public safety, proximity-based social networks, and vehicle-tovehicle communications.…”

Section: Ultra-dense Wireless Network Exploiting Microwave and Mmwavmentioning

confidence: 99%

Enabling 5G mobile wireless technologies

Lau

Jorswieck

et al. 2015

J Wireless Com Network

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Research on 5G mobile wireless technologies has been very active in both academia and industry in the past few years. While there has been certain consensus on the overall requirements of 5G wireless systems (e.g., in data rate, network capacity, delay), various enabling wireless technologies have been considered and studied to achieve these performance targets. It has been quite clear, however, that there would be no single enabling technology that can achieve all diverse and even conflicting 5G requirements. In general, many fundamental changes and innovations to re-engineer the overall network architecture and algorithms in different layers and to exploit new system degrees of freedom would be needed for the future 5G wireless system. In particular, we may need to consider other potential waveform candidates that can overcome limitations of the orthogonal frequency multiple access (OFDM) waveform employed in the current 4G system, develop disruptive technologies to fulfill 5G rate and capacity requirements including network densification, employment of large-scale (massive) multiple input multiple output (MIMO), and exploitation of the millimeter wave (mmWave) spectrum to attain Gigabit communications. In addition, design tools from the computer networking domain including software defined networking, virtualization, and cloud computing are expected to play important roles in defining the more flexible, intelligent, and efficient 5G network architecture. This paper aims at describing key 5G enabling wireless mobile technologies and discussing their potentials and open research challenges. We also present how papers published in our special issue contribute to the developments of these disruptive 5G technologies.

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Energy-Efficient Resource Allocation for D2D Communications in Cellular Networks

Cited by 119 publications

References 33 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

Potential games for subcarrier allocation in multi-cell networks with D2D communications

Enabling 5G mobile wireless technologies

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