Interference and throughput aware resource allocation for multi‐class D2D in 5G networks

Ferdouse, Lilatul; Ejaz, Waleed; Raahemifar, Kaamran; Anpalagan, Alagan; Markandaier, Mohan

doi:10.1049/iet-com.2016.1166

Cited by 29 publications

(14 citation statements)

References 25 publications

(38 reference statements)

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“…The OMA and NOMA methods have been investigated in resource allocation problems in cellular D2D systems [8][9][10]. A summary of these works and the solution approaches are given in Table 1.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Power Domain Non-Orthogonal Multiple Access Based Cellular Device-to-Device Communication for 5G Networks

2020

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This paper examines the resource block and power allocation in the power domain non-orthogonal multiple access (PD-NOMA) based cellular device-to-device (D2D) systems. To improve the energy efficiency of the D2D systems and to manage the mutual interference level as well as the quality of service (QoS) requirement of cellular users, different power level is applied to the D2D users sharing the same resource blocks (RBs) to the legacy users. It is essential to design an efficient resource block and power allocation method for PD-NOMA based cellular D2D systems which guarantee the successive interference cancellation (SIC) order in the power allocation solution. In this paper, we propose an iterative algorithm of resource block and power allocation for cellular D2D system which incorporates the SIC aware geometric water filling (GWF) method in the power allocation solution. It is shown that the proposed SIC aware geometric water filling achieves higher energy efficiency compared to iterative water-filling (IWF) power allocation and the GWF based orthogonal multiple access (OMA) method.

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Section: Related Workmentioning

confidence: 99%

Energy Efficient Power Domain Non-Orthogonal Multiple Access Based Cellular Device-to-Device Communication for 5G Networks

2020

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“…Worth mentioning about the above studies [10][11][12] is that mobile users in social networks usually form stable social networks when communicating with others. They are grouped by social relationships or background to form different communities which have the same interested contents.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

“…Considering the fact that the D2D communication shares the uplink spectrum resource, Xu et al utilize a reverse iterative combinatorial auction based mechanism to accomplish the resource allocation [10]. Ferdouse et al propose a throughput efficient subcarrier allocation (TESA) proposal for multiclass cellular D2D systems [11]. Hoang et al adopt graph-based approach to discuss the nonorthogonal dynamic spectrum sharing to maximize the weighted system sum rate [12].…”

Section: Introductionmentioning

confidence: 99%

Game-Theoretic Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Network

Wang

Zhang

et al. 2018

Wireless Communications and Mobile Computing

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Device-to-Device communication underlaying cellular network can increase the spectrum efficiency due to direct proximity communication and frequency reuse. However, such performance improvement is influenced by the power interference caused by spectrum sharing and social characteristics in each social community jointly. In this investigation, we present a dynamic game theory with complete information based D2D resource allocation scheme for D2D communication underlaying cellular network. In this resource allocation method, we quantify both the rate influence from the power interference caused by the D2D transmitter to cellular users and rate enhancement brought by the social relationships between mobile users. Then, the utility function maximization game is formulated to optimize the overall transmission rate performance of the network, which synthetically measures the final influence from both power interference and sociality enhancement. Simultaneously, we discuss the Nash Equilibrium of the proposed utility function maximization game from a theoretical point of view and further put forward a utility priority searching algorithm based resource allocation scheme. Simulation results show that our proposed scheme attains better performance compared with the other two advanced proposals.

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“…A Stackelberg game is used in [5] to maximize the utility function of cellular users and D2D users by optimizing the D2D users' transmission power and the BS's interference price. In [6], a sub-carrier allocation algorithm is proposed and a geometric water-filling method is used to allocate the optimal transmission power to D2D users. The above papers implicitly assume that the energy of the D2D transmitter is infinite, which does not always conform with reality because the energy of the D2D device is finite or a device needs to be charged.…”

Section: Introductionmentioning

confidence: 99%

Power Control and Channel Allocation Algorithm for Energy Harvesting D2D Communications

Zhu

2019

Algorithms

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This paper assumes that multiple device-to-device (D2D) users can reuse the same uplink channel and base station (BS) supplies power to D2D transmitters by means of wireless energy transmission; the optimization problem aims at maximizing the total capacity of D2D users, and proposes a power control and channel allocation algorithm for the energy harvesting D2D communications underlaying the cellular network. This algorithm firstly uses a heuristic dynamic clustering method to cluster D2D users and those in the same cluster can share the same channel. Then, D2D users in the same cluster are modeled as a non-cooperative game, the expressions of D2D users' transmission power and energy harvesting time are derived by using the Karush-Kuhn-Tucker (KKT) condition, and the optimal transmission power and energy harvesting time are allocated to D2D users by the joint iteration optimization method. Finally, we use the Kuhn-Munkres (KM) algorithm to achieve the optimal matching between D2D clusters and cellular channel to maximize the total capacity of D2D users. Simulation results show that the proposed algorithm can effectively improve the system performance.

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Interference and throughput aware resource allocation for multi‐class D2D in 5G networks

Cited by 29 publications

References 25 publications

Energy Efficient Power Domain Non-Orthogonal Multiple Access Based Cellular Device-to-Device Communication for 5G Networks

Energy Efficient Power Domain Non-Orthogonal Multiple Access Based Cellular Device-to-Device Communication for 5G Networks

Game-Theoretic Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Network

Power Control and Channel Allocation Algorithm for Energy Harvesting D2D Communications

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