Joint Caching and Resource Allocation in D2D-Assisted Heterogeneous Networks

Jaafar, Wael; Ajib, Wessam; Elbiaze, Halima

doi:10.1109/wimob.2018.8589159

Cited by 5 publications

(3 citation statements)

References 34 publications

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“…Simulations demonstrate that the suggested strategy performs better than both probabilistic and naïve caching. In [28], the authors examined the combined cache placement and resource allocation problem in heterogeneous networks with D2D support. In terms of average content delivery times, they suggested two imperfect heuristic methods that outperform D2D-unsupported systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Artificial Neural Network based Power Control in D2D Communication

Nethravathi¹,

Akhila²

2022

IJACSA

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As a viable technique for next-generation wireless networks, Device-to-Device (D2D) communication has attracted interest because it encourages the usage of point-to-point communications between User Equipment (UE) without passing over base stations (BS). Device-to-device (D2D) communication has been proposed in cellular networks as a supplementary paradigm to primarily increase network connection. This research takes into account a cellular network where users are trying device-to-device (D2D) connection. A D2D pair is composed of two D2D users (DUEs), a transmitter, and a receiver. To improve spectral efficiency, we use the premise that the D2D pairs only employ one communication channel. In order to minimize interference between D2D pairs and increase capacity, a power control is required. In the scenario where only typical cellular channel gains between base stations and DUEs are known and channel gains among DUEs are completely inaccessible, we address the issue of D2D power control. For each individual D2D pair, we use an artificial neural network (ANN) to calculate the transmission power. We show that the maximum aggregate capacity for the D2D pairs may be reached while anticipating the transmission power setting for D2D pairs using cellular channel gains.

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Section: Literature Reviewmentioning

confidence: 99%

Artificial Neural Network based Power Control in D2D Communication

Nethravathi¹,

Akhila²

2022

IJACSA

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“…Also, Quer et al proposed in [35] a proactive caching strategy that takes into account user mobility and user interest classes for content. In our previous work [36], we optimized caching and bandwidth allocation to minimize the average transmission delay of a D2D-assisted HetNet. We divided the problem into bandwidth allocation and caching problems.…”

Section: Introductionmentioning

confidence: 99%

Content Caching and Channel Allocation in D2D-Assisted Wireless HetNets

et al. 2021

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The fifth generation cellular networks are required to provide very fast and reliable communications while dealing with the increase of users traffic. In heterogeneous networks (HetNets) assisted with device-to-device (D2D) communications, traffic can be offloaded to small base stations or to users to make content delivery faster and alleviate the traffic burden from the core network. In this paper, we aim to maximize the probability of successfully delivering files to users, referred to as the successful delivery probability, by jointly optimizing the caching placement and channel allocation in cache-enabled D2D-assisted HetNets. First, an analytical expression of the average content delivery delay is derived. The latter is subsequently used to formulate the joint optimization problem of cache placement and channel allocation. Due to the problem's non-convexity, a linearization transformation is proposed, which allows to find the optimal solution. However, given the high complexity of the problem, we propose a lowcomplex heuristic approach for channel allocation and caching. Numerical results illustrate the efficacy of the proposed solutions and compare them to the conventional HetNet. Finally, the impact of several key parameters, e.g., transmit power, caching capacity, and QoS requirements, is investigated, which provides design guidelines for D2D-assisted HetNets.

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“…In order to provide customized and personalized services for D2D users which are in coexistence with cellular user equipments in a highdensity HetNet, it is important for the network operator to ensure a high QoS for each user while reducing power consumption of cellular user devices. Many interference management and resources allocation techniques for D2D communication have been investigated [14], [15], [16]. In [17], the authors presented a principle to maximize the system throughput while ensuring the QoS requirements of cellular users and D2D users which includes several factors such as mode selection for D2D communication, resource allocation, and power control.…”

Section: Introductionmentioning

confidence: 99%

Quality of Service Provisioning for D2D Users in Heterogeneous Networks

Nguyen¹,

Nguyen²,

Nguyen³

2019

EAI Endorsed Transactions on Industrial Networks and Intelligen

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This paper investigates power allocation for D2D communications in a Heterogeneous Network (HetNet) which includes a macro cell and pico cells, whereas femto cells are distributed inside. The objective is to minimize the total power consumption of D2D transmitter while satisfying a set of Quality of Service in D2D receivers and cellular users communication interference. To this end, we first obtain expression for the formula of signal to interference plus noise ratio (SINR) and spectral efficiency of each D2D receiver. Then, an optimization problem is formulated to minimize the total transmit power of D2D transmitters subject to QoS constraints. It is shown that this optimization problem is linear programming and it can be solved in polynomial time with standard tools. In addition, the maximization value of D2D pair transmission rates are determined with fixed cellular users parameters.

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Joint Caching and Resource Allocation in D2D-Assisted Heterogeneous Networks

Cited by 5 publications

References 34 publications

Artificial Neural Network based Power Control in D2D Communication

Artificial Neural Network based Power Control in D2D Communication

Content Caching and Channel Allocation in D2D-Assisted Wireless HetNets

Quality of Service Provisioning for D2D Users in Heterogeneous Networks

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