TARCO: Two-Stage Auction for D2D Relay Aided Computation Resource Allocation in HetNet

Chen, Long; Wu, Jigang; Zhang, Xin‐Xiang; Zhou, Gangqiang

doi:10.1109/tsc.2018.2792024

Cited by 33 publications

(21 citation statements)

References 58 publications

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“…Their proposed interference alignment technique improves upon the existing baseline approaches. A two-stage device-to-device (D2D) communication technique was proposed by the authors of [23]. They highlighted that the problem of computation resource management could become critical for large-scale heterogeneous networks.…”

Section: Related Workmentioning

confidence: 99%

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Alsafasfeh

Saraereh

Ali

et al. 2020

Sensors

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Heterogeneous networks are rapidly emerging as one of the key enablers of beyond fifth-generation (5G) wireless networks. It is gradually becoming clear to the network operators that existing cellular networks may not be able to support the traffic demands of the future. Thus, there is an upsurge in the interest of efficiently deploying small-cell networks for accommodating a growing number of user equipment (UEs). This work further extends the state-of-the-art by proposing an optimization framework for reducing the power consumption of small-cell base stations (BSs). Specifically, a novel algorithm has been proposed which dynamically switches off the redundant small-cell BSs based on the traffic demands of the network. Due to the dynamicity of the formulated problem, a new UE admission control policy has been presented when the problem becomes infeasible to solve. To validate the effectiveness of the proposed solution, the simulation results are compared with conventional techniques. It is shown that the proposed power control solution outperforms the conventional approaches both in terms of accommodating more UEs and reducing power consumption.

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Section: Related Workmentioning

confidence: 99%

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Alsafasfeh

Saraereh

Ali

et al. 2020

Sensors

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“…Further models to enforce cooperation within a system are as follows: (i) hierarchical model [37][38][39]; (ii) evolutionary model [40]; (iii) cluster-based model [41]; and (iv) potential game model [42,43]. In addition to these games, there is a mechanism design (or reverse GT) solution normally designated as auction model [44,45], which finds the optimum system status with a convergence time lower than that of a theoretical game [46]. Alternatively to the previous mechanisms that are based on (reverse) GT, [47] proposes an incentive mechanism based on both the anchoring effect and loss aversion of Behavioral Economics to stimulate data offloading in IoT use cases.…”

Section: Review Of Literaturementioning

confidence: 99%

Modeling cooperative behavior for resilience in cyber-physical systems using SDN and NFV

Moura

Hutchison

2020

SN Appl. Sci.

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Cyber-Physical Systems (CPSs) are increasingly important in everyday applications including the latest mobile devices, power grids and intelligent buildings. CPS functionality has intrinsic characteristics including considerable heterogeneity, variable dynamics, and complexity of operation. These systems also typically have insufficient resources to satisfy their full demand for specialized services such as data edge storage, data fusion, and reasoning. These novel CPS characteristics require new management strategies to support the resilient global operation of CPSs. To reach this goal, we propose a Software Defined Networking based solution scaled out by Network Function Virtualization modules implemented as distributed management agents. Considering the obvious need for orchestrating the distributed agents towards the satisfaction of a common set of global CPS functional goals, we analyze distinct incentive strategies to enact a cooperative behavior among the agents. The repeated operation of each agent's local algorithm allows that agent to learn how to adjust its behavior following both its own experience and observed behavior in neighboring agents. Therefore, global CPS management can evolve iteratively to ensure a state of predictable and resilient operation.

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“…In order to meet system demand, the autonomous learning-based method was given. A twostage auction for D2D relay resource allocation approach was presented in [23]. Simulation results showed good performance in terms of running time and average utility.…”

Section: Despite Of D2d Communication Technique Merits It Also Bringmentioning

confidence: 99%

Joint Resource Allocation and Power Control Algorithm for Cooperative D2D Heterogeneous Networks

Gao

Zhang

et al. 2019

IEEE Access

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The device-to-device (D2D) communication is viewed as an attractive technique to increase the spectrum efficiency and the data transmission rate in the wireless network. In this paper, we investigate the joint resource allocation and power control problem for cooperative D2D users (DUs) which multiplex cellular users (CUs) in downlink cooperative D2D heterogeneous networks. The studied resource allocation problem contains the spectrum resource block allocation and the selection of an idle user which works as a relay to assist the D2D links communication, while the power control aims to reduce the interference between users and improve the communication quality of service (QoS). To efficiently maximize the total throughput of all the DU links and the CU links on the premise of guaranteeing the communication QoS for CUs, we propose a quantum coral reefs optimization algorithm (QCROA) to obtain the optimal joint resource allocation and power control scheme. The simulation results demonstrate that the proposed QCROA achieves an excellent performance for different network communication scenarios.

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TARCO: Two-Stage Auction for D2D Relay Aided Computation Resource Allocation in HetNet

Cited by 33 publications

References 58 publications

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Modeling cooperative behavior for resilience in cyber-physical systems using SDN and NFV

Joint Resource Allocation and Power Control Algorithm for Cooperative D2D Heterogeneous Networks

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