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Energy-efficient ultra-dense 5G networks: Recent Advances, Taxonomy and Future Research Directions
2021
IEEE Access
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In particular, we focus on popular approaches such as machine learning, game theory, stochastic and heuristic techniques in the ultra-dense network from an energy perspective due to their promise in addressing ...
Based on the review, we propose a taxonomy, summarise key findings, and discuss operational and implementation details of past research contributions. ...
both supervised and unsupervised learning is used in [114] . 2) Game Theory Game theory has been widely used in wireless communication for cooperation schemes. ...
doi:10.1109/access.2021.3123577
fatcat:ya4jmhfbrre47pijoqwcgj7g2u
Resource Allocation in Millimeter-Wave Device-to-Device Networks
2019
Mobile Information Systems
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streaming of data, and socially aware networking. ...
The paper presents review of existing channel and power allocation approaches and mathematical resource optimization solution techniques. ...
(V2V) communication, mmwave spectrum, social-aware D2D networks, and simultaneous wireless information and power transfer as areas that needed further study for in-band D2D communication. ...
doi:10.1155/2019/5051360
fatcat:z6oj655y7vb4rldyd3d72vy72e
2020 Index IEEE Transactions on Mobile Computing Vol. 19
2021
IEEE Transactions on Mobile Computing
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., +, TMC Feb. 2020 331-346 Learning-Based Tracking Area List Management in 4G and 5G Networks. Moysen, J., +, TMC Aug. 2020 1862-1878 Optimizing mmWave Wireless Backhaul Scheduling. ...
., +, TMC May 2020 1096-1108 Learning-Based Tracking Area List Management in 4G and 5G Networks. ...
doi:10.1109/tmc.2020.3036773
fatcat:6puiux5lp5bfvjo47ey7ycwyfu
Survey of Radio Resource Management in 5G Heterogeneous Networks
2020
IEEE Access
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Radio resource management (RRM) for future fifth-generation (5G) heterogeneous networks (HetNets) has emerged as a critical area due to the increased density of small-cell networks and radio access technologies ...
We report on a survey of HetNet RRM schemes that have been studied recently, with a focus on the joint optimization of radio resource allocation with other mechanisms. ...
A similarly high convergence time to reach its equilibrium state was reported in [86] , where the resource and power allocation algorithms proposed are based on game theory and solved by machine learning ...
doi:10.1109/access.2020.3002252
fatcat:vld3to26hnbvjl6mdruovseqtu
Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review
2021
Applied Sciences
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machine learning solutions and communication technologies, and the convergence of virtualized and programmable network management mechanisms towards fully integrated autonomic network resource management ...
a review of how resource management solutions have dealt with optimizing millimeter wave radio and optical resources from an autonomic network management perspective. ...
Game theory and matching theory-based solutions are also attractive for distributed decision-making among entities, as centralized optimization is challenging in multi-stakeholder environments [42] [43 ...
doi:10.3390/app12010221
fatcat:ulcj36pc55dyzc3blznphjx25q
Intelligent Resource Allocation Method for Wireless Communication Networks Based on Deep Learning Techniques
2021
Journal of Sensors
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The small base station selects several users with optimal transmission conditions based on the scores; then, the concept of game theory is introduced to model the problem of maximizing network throughput ...
as a multi-intelligent noncooperative game problem; finally, a deep augmented learning-based wireless resource allocation algorithm is proposed to enable the small base station to learn autonomously and ...
The problem is then modeled using the knowledge of game theory and an RL-LSTMbased resource allocation algorithm is proposed based on the knowledge of deep augmented learning. ...
doi:10.1155/2021/3965087
fatcat:wdhhhoaxpna75ikv3tvo7grila
Technical advances in the design and deployment of future heterogeneous networks
2015
EURASIP Journal on Wireless Communications and Networking
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The trend in wireless communications systems is the enhancement of the network infrastructure with the introduction of small cells, where a specific geographical area is served by low-range, low-power ...
In particular the following aspects are considered: the design of interference and radio resource management algorithms, the analysis of the energy efficiency and power control issues in heterogeneous ...
In the work entitled "Joint Voronoi Diagram and Game Theory Based Power Control Scheme for the HetNet Small Cell Networks" by Xu et al. ...
doi:10.1186/s13638-015-0396-0
fatcat:2hq6ylaqxvcqpguzwrw2eixd64
2014 Index IEEE Transactions on Parallel and Distributed Systems Vol. 25
2015
IEEE Transactions on Parallel and Distributed Systems
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., +, TPDS Nov. 2014 2909-2919
Body area networks
Certificateless Remote Anonymous Authentication Schemes for Wireless-
Body Area Networks. ...
., +, TPDS Sept. 2014 2386-2396
Secure and Efficient Data Transmission for Cluster-Based Wireless Sensor
Networks. ...
on Homogeneous Multiprocessors. 1510 -1521 In-Network Cache Management and Resource Allocation for Information-Centric Networks. ...
doi:10.1109/tpds.2014.2371591
fatcat:qxyljogalrbfficryqjowgv3je
A Survey on Intelligent Computation Offloading and Pricing Strategy in UAV-Enabled MEC Network: Challenges and Research Directions
[article]
2022
arXiv
pre-print
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for computation offloading in the UAV-MEC network and the high computing demands of upcoming applications. ...
There is a trade-off between the cost incurred by the MD and the profit received by the MNO. ...
Game theory is a good tool for building distributed processes. ...
arXiv:2208.10072v1
fatcat:hhqj3dmuuneo5exy6xcbmupngu
Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid
2020
IEEE Access
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Home energy management systems (HEMSs) help manage electricity demand to optimize energy consumption and distributed renewable energy generation without compromising consumers' comfort. ...
In doing so, it also provides a summary of HEMS computing trends and popular communication technologies for demand response applications. ...
Similarly, for wireless networks, the cost of devices based on the open ZigBee protocol is lower than that of devices based on the proprietary Z-Wave protocol [83] . ...
doi:10.1109/access.2020.3005244
fatcat:2ebaz6am7zfrnhl52d6ux36jte
A Survey on Machine-Learning Techniques for UAV-Based Communications
2019
Sensors
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In this article, we provide a detailed survey of all relevant research works, in which ML techniques have been used on UAV-based communications for improving various design and functional aspects such ...
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless communication networks. ...
The NE of this game was derived showing the dependence of the optimal relay strategy on the transmission cost and the air-to-ground channel model. ...
doi:10.3390/s19235170
pmid:31779133
pmcid:PMC6929112
fatcat:pnur7lmpj5bj7poebmdfpd6bhi
Supply and Demand Oriented Energy Management in the Internet of Things
2016
Advances in Internet of Things
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., sensor-actuator layer, network layer, and application layer), and IoT energy management is addressed from the perspectives of supply and demand to achieve green perception, communication, and computing ...
A smart home scenario is presented as a case study involving the main enabling technologies with supply-side, demand-side, and supply-demand balance considerations, and open issues in the field of IoT ...
Base. ...
doi:10.4236/ait.2016.61001
fatcat:6tlbn7x4wfablgjs7etpkkscci
Metaverse for Wireless Systems: Architecture, Advances, Standardization, and Open Challenges
[article]
2023
arXiv
pre-print
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Such a design can be based on the metaverse that uses a virtual model of the physical world systems along with other schemes/technologies (e.g., optimization theory, machine learning, and blockchain). ...
., metaverse for wireless and wireless for metaverse), and a novel high-level architecture of metaverse-based wireless systems. ...
For such maximization, one can use mathematical optimization, matching theory, and game theory, among others. ...
arXiv:2301.11441v1
fatcat:vokf7zzj4vebldk5s5zf4fglsu
Papers by Title
2019
2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
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Low-cost Wearable Eye Gaze Detection and Tracking System Low-Latency Guarantee of Wireless Body Area Networking for Fall Detection and Protection Low-Power Counter-Based Delay Line Design For DPWM Low-SNR ...
Search Based on Potential Game Theory
Multiple-Channel High-Voltage Power Drive Circuit for Medical Ultrasound Scanners
N 2 3 A B C D E F G H I L M N O P Q R S T U V W
New Generation Artificial Intelligent ...
doi:10.1109/icce-tw46550.2019.8991721
fatcat:62376ymadzge3g5xomicr5tesq
Resource Scheduling in Edge Computing: A Survey
[article]
2021
arXiv
pre-print
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With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless networks, the surging demand for data communications and computing calls for the emerging edge computing paradigm ...
Based on two modes of operation, i.e., centralized and distributed modes, different techniques for resource scheduling are discussed and compared. ...
Generally, centralized methods mainly include convex optimization, approximate algorithm, heuristic algorithm, and machine learning; distributed methods mainly include game theory, matching theory, auction ...
arXiv:2108.08059v1
fatcat:oo4lepcn3rhdfafefw5lkq2lia
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