Results 201 to 210 of about 9,462 (229)

Optimization of URLLC and eMBB Multiplexing via Deep Reinforcement Learning

2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops), 2019
In 5G mobile networks, multiple scenarios have emerged to meet different services requirement. The limited spectrum resource becoming more and more crowed to meet different requirements. To improve the limited transmission resource (spectrum, time, power etc.) utilization while meet the different needs of users, we introduce the reward function as a ...
Yang Li, Chunjing Hu, Jun Wang, Mingfeng Xu   +3 more
openaire   +1 more source

An Intelligent Coexistence Strategy for eMBB/URLLC Traffic in Multi-UAV Relay Networks via Deep Reinforcement Learning

IEEE Transactions on Wireless Communications
Preemptive scheduling efficiently addresses the coexistence of enhanced Mobile Broad Band (eMBB) and Ultra-Reliable Low-Latency Communications (URLLC).
Mengqiu Tian, Changle Li, Yilong Hui, Bin Chen, Wenwei Yue, Yuchuan Fu, Zhu Han   +6 more
semanticscholar   +1 more source

Demand based Proportional Fairness Scheduling for 5G eMBB Services

2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2022
Nor, Ahmed M., Fratu, Octavian, Halunga, Simona, Alyosef, Ayham, Zaharis, Zaharias D., Rizou, Stamatia, Lazaridis, Pavlos I.   +6 more
openaire   +1 more source

Distributed Learning Framework for eMBB-URLLC Multiplexing in Open Radio Access Networks

IEEE Transactions on Network and Service Management
Next-generation (NextG) cellular networks are expected to evolve towards virtualization and openness, incorporating reprogrammable components that facilitate intelligence and real-time analytics.
Madyan Alsenwi, Eva Lagunas, S. Chatzinotas   +2 more
semanticscholar   +1 more source

On-Demand Multiplexing of eMBB/URLLC Traffic in a Multi-UAV Relay Network

IEEE transactions on intelligent transportation systems (Print)
Unmanned aerial vehicle (UAV) relay networks with flexible and controllable characteristics are expected to complement the capacity of the gNB. This paper studies the multiplexing of enhanced Mobile BroadBand (eMBB) and Ultra-Reliable Low-Latency ...
Mengqiu Tian, Changle Li, Yilong Hui, Nan Cheng, Wenwei Yue, Yuchuan Fu, Zhu Han   +6 more
semanticscholar   +1 more source

Joint Resource Allocation for Multiplexing eMBB, URLLC and mMTC Traffics Based on DRL

IEEE Vehicular Technology Conference
In 5G networks and beyond, enhanced Mobile Broadband (eMBB) service targets at providing extremely high throughput, Ultra-Reliable and Low Latency Communications (URLLC) service supports high reliability and low latency while massive machine-type ...
Rong Ren, Jie Wang, Jin Yu, Xiangyu Zhu, Xuetao Wan, Huajie Lu   +5 more
semanticscholar   +1 more source

Dynamic Fine-Grained SLA Management for 6G eMBB-Plus Slice Using mDNN & Smart Contracts

IEEE Transactions on Services Computing
The advent of 6G networks promises revolutionary advances in dynamism, intelligence, and decentralization. Realizing the full potential of 6G requires adaptable service level agreements (SLAs) that can optimize performance based on dynamic network ...
Sadaf Bukhari, K. Sharif, Liehuang Zhu, Chang Xu, Fan Li, Sujit Biswas   +5 more
semanticscholar   +1 more source

User-Centric Resource Allocation in Downlink Multi-Carrier NOMA System With Coexistence of URLLC and eMBB Users

IEEE Transactions on Vehicular Technology
This article proposes user-centric resource allocation in a downlink multicarrier (MC)-non-orthogonal multiple access (NOMA) system in the presence of both ultra-reliable and low-latency (URLLC) and enhanced mobile broadband (eMBB) traffic.
Nann Win Moe Thet, Koji Ishibashi
semanticscholar   +1 more source

Constrained Risk-Sensitive Deep Reinforcement Learning for eMBB-URLLC Joint Scheduling

IEEE Transactions on Wireless Communications
In this work, we employ a constrained risk-sensitive deep reinforcement learning (CRS-DRL) approach for joint scheduling in a dynamic multiplexing scenario involving enhanced mobile broadband (eMBB) and ultra-reliable low-latency communications (URLLC ...
Wenheng Zhang, Mahsa Derakhshani, Gan Zheng, S. Lambotharan   +3 more
semanticscholar   +1 more source

Energy-Efficient Resource Allocation in Ultra-Dense Networks With EMBB and URLLC Users Coexistence

IEEE Transactions on Vehicular Technology
Ultra-dense network (UDN) is an important technology to provide high data rate services in hot areas. Efficient resource allocation schemes are vital, in order to ensure the quality-of-service (QoS) requirements of users. In this article, we consider the
Tianzhu Pan, Xuanli Wu, Tingting Zhang, Xuesong Li   +3 more
semanticscholar   +1 more source