Energy-spectral efficient resource allocation and power control in heterogeneous networks with D2D communication

Khazali, Azadeh; Sobhi-Givi, Sima; Kalbkhani, Hashem; Shayesteh, Mahrokh G.

doi:10.1007/s11276-018-1811-3

Cited by 14 publications

(8 citation statements)

References 37 publications

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“…The power control algorithms in [1][2][3][4] resulting from the theoretical game approach are decentralized, in which each device selects its power from a power transmitting strategy through a non-cooperative scheme. The power control algorithm for D2D communications plays an essential role in minimizing power consumption while saving energy in wireless network communication.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Game Theory-Based Power Control Algorithm for D2D Communication in 5G Networks

Saif¹,

Noordin²,

Dimyati³

et al. 2021

KSII TIIS

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Device-to-Device (D2D) communication is one of the enabling technologies for 5G networks that support proximity-based service (ProSe) for wireless network communications. This paper proposes a power control algorithm based on the Nash equilibrium and game theory to eliminate the interference between the cellular user device and D2D links. This leads to reliable connectivity with minimal power consumption in wireless communication. The power control in D2D is modeled as a non-cooperative game. Each device is allowed to independently select and transmit its power to maximize (or minimize) user utility. The aim is to guide user devices to converge with the Nash equilibrium by establishing connectivity with network resources. The proposed algorithm with pricing factors is used for power consumption and reduces overall interference of D2Ds communication. The proposed algorithm is evaluated in terms of the energy efficiency of the average power consumption, the number of D2D communication, and the number of iterations. Besides, the algorithm has a relatively fast convergence with the Nash Equilibrium rate. It guarantees that the user devices can achieve their required Quality of Service (QoS) by adjusting the residual cost coefficient and residual energy factor. Simulation results show that the power control shows a significant reduction in power consumption that has been achieved by approximately 20% compared with algorithms in [11].

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Section: Introductionmentioning

confidence: 99%

An Efficient Game Theory-Based Power Control Algorithm for D2D Communication in 5G Networks

Saif¹,

Noordin²,

Dimyati³

et al. 2021

KSII TIIS

View full text Add to dashboard Cite

show abstract

“…In order to reduce the cross-tier interference in D2D communication, Khazali et al proposed a fractional frequency reuse (FFR)-based spectrum partitioning scheme. In Khazali et al's study, they also modelled the spectral efficiency as an optimization problem, which can be effectively solved by employing iterative algorithms [12]. Mohamad et al proposed a dynamic sectorization method in which eNB can vary the number of sectors dynamically and allocated the resource block to D2D users.…”

Section: Introductionmentioning

confidence: 99%

Ultrahigh‐Dimensional Model and Optimization Algorithm for Resource Allocation in Large‐Scale Intelligent D2D Communication System

et al. 2021

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The optimal resource allocation in the large-scale intelligent device-to-device (D2D) communication system is of great importance for improving system spectrum efficiency and ensuring communication quality. In this study, the D2D resource allocation is modelled as an ultrahigh-dimensional optimization (UHDO) problem with thousands of binary dimensionalities. Then, for efficiently optimizing this UHDO problem, the coupling relationships among those dimensionalities are comprehensively analysed, and several efficient variable-grouping strategies are developed, i.e., cellular user grouping (CU-grouping), D2D pair grouping (DP-grouping), and random grouping (R-grouping). In addition, a novel evolutionary algorithm called the cooperatively coevolving particle swarm optimization with variable-grouping (VGCC-PSO) is developed, in which a novel mutation operation is introduced for ensuring fast satisfaction of constraints. Finally, the proposed UHDO-based allocation model and VGCC-PSO algorithm as well as the grouping and mutation strategies are verified by a comprehensive set of case studies. Simulation results show that the developed VGCC-PSO algorithm performs the best in optimizing the UHDO model with up to 6000 dimensionalities. According to our study, the proposed methodology can effectively overcome the “curse of dimensionality” and optimally allocate the resources with high accuracy and robustness.

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“…Although that method improves the system performance and spectral efficiency, it ignores the interference between DUs and CUs and does not analyze the presence of small cells in the network. The authors in [23] proposed FFR structures with directional antennas for DUs, FUs, and CUs to reduce the cross-tier interference. Their proposed FFR allocates resources to each tier orthogonally in each region.…”

Section: Introductionmentioning

confidence: 99%

Spectrum-Efficient QoS-Aware Resource Assignment for FFR-Based D2D-Enabled Heterogeneous Networks

2020

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Small cells and Device-to-Device (D2D) communication can improve the coverage and capacity of cellular systems, thereby enabling an enriched customer experience. To optimize that experience, this paper considers a problem of uplink weighted sum rate maximization for a single cell heterogeneous network containing macro cellular users, D2D users and femto-cell users. In particular, in order to control the co-tier and cross-tier interferences, a new Fractional Frequency Reuse (FFR) architecture is developed in which we seek to maximize a weighted sum rate, subject to minimum rate requirements and transmission power constraints. In order to tackle the resulting mixed integer nonlinear optimization problem, we develop a decomposition-based strategy. The proposed strategy solves the admission control, power control, and matching subproblems optimally, and allocates the remaining free sub-channels by using a heuristic suboptimal algorithm. Numerical results demonstrate that the proposed scheme, in average, achieves around 96% of the system sum rate of the optimal Branch & Bound method with much lower computational cost.

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Energy-spectral efficient resource allocation and power control in heterogeneous networks with D2D communication

Cited by 14 publications

References 37 publications

An Efficient Game Theory-Based Power Control Algorithm for D2D Communication in 5G Networks

An Efficient Game Theory-Based Power Control Algorithm for D2D Communication in 5G Networks

Ultrahigh‐Dimensional Model and Optimization Algorithm for Resource Allocation in Large‐Scale Intelligent D2D Communication System

Spectrum-Efficient QoS-Aware Resource Assignment for FFR-Based D2D-Enabled Heterogeneous Networks

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