Results 201 to 210 of about 45,537 (246)

Double Deep Q-Network Based Distributed Resource Matching Algorithm for D2D Communication

IEEE Transactions on Vehicular Technology, 2022
Device-to-Device (D2D) communication with short communication distance is an efficient way to improve spectrum efficiency and mitigate interference. To realize the optimal resource configuration including wireless channel matching and power allocation, a
Yazhou Yuan, Zhijie Li, Zhixin Liu, Yi Yang, X. Guan   +4 more
semanticscholar   +1 more source

D2D

Benchmarking for Quality Management & Technology, 1994
Design to Distribution Ltd (D2D) is a wholly owned subsidiary of the ICL group. It gained this status in 1993, having previously been ICL Manufacturing Division. Since 1991 it has strategically penetrated the contract manufacturing market and now aims to provide a total electronics manufacturing service to external customers.
Rob Hutton, Mohamed Zairi
openaire   +1 more source

Incentive-Driven Deep Reinforcement Learning for Content Caching and D2D Offloading

IEEE Journal on Selected Areas in Communications, 2021
Offloading cellular traffic via Device-to-Device communication (or D2D offloading) has been proved to be an effective way to ease the traffic burden of cellular networks.
Huan Zhou, Tong Wu, Haijun Zhang, Jie Wu
semanticscholar   +1 more source

Make Smart Decisions Faster: Deciding D2D Resource Allocation via Stackelberg Game Guided Multi-Agent Deep Reinforcement Learning

IEEE Transactions on Mobile Computing, 2022
Device-to-Device (D2D) communication enabling direct data transmission between two mobile users has emerged as a vital component for 5G cellular networks to improve spectrum utilization and enhance system capacity.
Dian Shi, Liang Li, T. Ohtsuki, M. Pan, Zhu Han, Vincent Poor   +5 more
semanticscholar   +1 more source

Feasible D2D communication distance in D2D-enabled cellular networks

2014 IEEE International Conference on Communication Systems, 2014
In D2D-enabled cellular networks, data communications between user equipments (UEs) can be completed by two modes: the cellular mode and the D2D mode where UEs bypass the base station and directly communicate with each other. Usually the transmission mode is selected based on the distance between the UEs.
Haichuan Ding, Shaodan Ma, Chengwen Xing
openaire   +1 more source

Robust Resource Allocation Algorithm for Energy-Harvesting-Based D2D Communication Underlaying UAV-Assisted Networks

IEEE Internet of Things Journal, 2021
Energy efficiency (EE) is a significant performance indicator in unmanned aerial vehicle (UAV)-assisted communication networks for providing a balance between power consumption minimization and transmission rate maximization. However, most of the current
Yongjun Xu, Zijian Liu, Chongwen Huang, C. Yuen   +3 more
semanticscholar   +1 more source

Deep-Reinforcement-Learning-Based Proportional Fair Scheduling Control Scheme for Underlay D2D Communication

IEEE Internet of Things Journal, 2021
In the last few years, we have witnessed the usage of billions of Internet-of-Things (IoT)-enabled devices in different applications starting from e-healthcare, transportation, agriculture, etc., across the globe.
Ishan Budhiraja, Neeraj Kumar, Sudhanshu Tyagi   +2 more
semanticscholar   +1 more source

Energy-Efficient Mode Selection and Resource Allocation for D2D-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach

IEEE Transactions on Wireless Communications, 2021
Improving energy efficiency has shown increasing importance in designing future cellular system. In this work, we consider the issue of energy efficiency in D2D-enabled heterogeneous cellular networks.
T. Zhang, K. Zhu, Junhua Wang
semanticscholar   +1 more source

Performance Analysis for RIS-Assisted D2D Communication Under Nakagami-$m$ Fading

IEEE Transactions on Vehicular Technology, 2021
Reconfigurable intelligent surface (RIS) is considered as a promising technology, which can effectively control the phase of signals with low-cost reflective elements. In this paper, we investigate the RIS-assisted D2D communication system under Nakagami-
Yiyang Ni, Yaxuan Liu, Jue Wang, Qin Wang, Haitao Zhao, Hongbo Zhu   +5 more
semanticscholar   +1 more source

Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing

IEEE Transactions on Vehicular Technology, 2020
We consider Device-to-Device (D2D)-enabled mobile edge computing offloading scenario, where a device can partially offload its computation task to the edge server or exploit the computation resources of proximal devices.
Umber Saleem, Yu Liu, Sobia Jangsher, Xiaoming Tao, Yong Li   +4 more
semanticscholar   +1 more source