Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Filters








248 Hits in 4.3 sec

Cell-Free XL-MIMO Meets Multi-Agent Reinforcement Learning: Architectures, Challenges, and Future Directions [article]

Zhilong Liu, Jiayi Zhang, Ziheng Liu, Hongyang Du, Zhe Wang, Dusit Niyato, Mohsen Guizani, Bo Ai
2023 arXiv   pre-print
We then propose the enhanced paradigm of cell-free XL-MIMO, which incorporates multi-agent reinforcement learning (MARL) to provide a distributed strategy for tackling the problem of high-dimension signal  ...  Cell-free massive multiple-input multiple-output (mMIMO) and extremely large-scale MIMO (XL-MIMO) are regarded as promising innovations for the forthcoming generation of wireless communication systems.  ...  System Architecture of Multi-Agent Cell-Free XL-MIMO In conventional massive MIMO systems, centralized processing methods lack the ability to parallelize operations.  ... 
arXiv:2307.02827v2 fatcat:igj2bucbibbljetp6qm32novqu

Multi-Agent Reinforcement Learning for Distributed Joint Communication and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile Edge Computing Network [article]

Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung G. Kang
2023 arXiv   pre-print
In this regard, the capability of cell-free massive MIMO to provide reliable access links by guaranteeing uniform quality of service without cell edge can be exploited for seamless parallel processing.  ...  Taking this into account, we consider a cell-free massive MIMO-enabled mobile edge network to meet the stringent requirements of the advanced services.  ...  Recently, there are few works on the cell-free massive MIMO-based MEC systems.  ... 
arXiv:2201.09057v3 fatcat:h4ps7r3sbrfh3dbdfomcpoovaa

Table of Contents

2021 IEEE Transactions on Vehicular Technology  
Lyu 13022 High Efficiency Beam Alignment Based on Multi-Modal Beam Patterns for Massive MIMO Antenna Systems . . . . . . . . .  ...  Hanzo 12858 Learning-Assisted User Clustering in Cell-Free Massive MIMO-NOMA Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tvt.2021.3128122 fatcat:m76xnufupvde5b73yvrnzf2xlq

Load-aware Dynamic Mode Selection for Network-Assisted Full-Duplex Cell-Free Large-scale Distributed MIMO Systems

Yue Zhu, Jiamin Li, Pengcheng Zhu, Dongming Wang, Heng Ye, Xiaohu You
2022 IEEE Access  
Further, a distributed multi-agent Q-learning algorithm is proposed which has a smaller size of Q-table and lower complexity to suit for actual scenarios.  ...  However, the size of the Q-table used in the centralized Q-learning algorithm for storage is huge.  ...  of beamforming and channel vectors) instead based on beamforming training scheme. [11] investigated the problem of joint transceiver design for NAFD systems under cell-free massive MIMO network with  ... 
doi:10.1109/access.2022.3152545 fatcat:rhewqxj7ezadrarnxxp7vkrjuy

2020 Index IEEE Transactions on Wireless Communications Vol. 19

2020 IEEE Transactions on Wireless Communications  
., Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic Environments; TWC June 2020 3643-3657 Huang, C., see Yang, M., TWC Sept. 2020 5860-5874 Huang, D., Tao, X., Jiang, C.,  ...  ., +, TWC July 2020 4617-4631 Subset MMSE Receivers for Cell-Free Networks. Attarifar, M., +, TWC June 2020 4183-4194 Superimposed Pilot for Multi-Cell Multi-User Massive FD-MIMO Systems.  ...  ., +, TWC Oct. 2020 6520-6534 Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks.  ... 
doi:10.1109/twc.2020.3044507 fatcat:ie4rwz4dgvaqbaxf3idysubc54

2021 Index IEEE Transactions on Wireless Communications Vol. 20

2021 IEEE Transactions on Wireless Communications  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  for Multi-Cloud Virtualized Radio Pruning the Pilots: Deep Learning-Based Pilot Design and Channel Esti-mation for MIMO-OFDM Systems.  ...  ., +, TWC March 2021 1442-1456 Grant-Free Access via Bilinear Inference for Cell-Free MIMO With Low-Coherence Pilots.  ... 
doi:10.1109/twc.2021.3135649 fatcat:bgd3vzb7pbee7jp75dnbucihmq

Table of contents

2020 IEEE Transactions on Communications  
Xia 4233 Scalable Cell-Free Massive MIMO Systems ................................................ E. Björnson and L.  ...  Li 4162 Cellular UAV-to-Device Communications: Trajectory Design and Mode Selection by Multi-Agent Deep Reinforcement Learning ..........................................................................  ... 
doi:10.1109/tcomm.2020.3003144 fatcat:zhphq42ygbb6xml6m6id7efwoy

2021 Index IEEE Transactions on Vehicular Technology Vol. 70

2021 IEEE Transactions on Vehicular Technology  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TVT Sept. 2021 8854-8867 Pilot Assignment for Cell Free Massive MIMO Systems Using a Weighted Graphic Framework.  ...  ., +, TVT March 2021 2138-2152 Pilot Assignment for Cell Free Massive MIMO Systems Using a Weighted Graphic Framework.  ... 
doi:10.1109/tvt.2022.3151213 fatcat:vzuzqu54irebpibzp3ykgy5nca

Pursuit Learning-Based Joint Pilot Allocation and Multi-Base Station Association in a Distributed Massive MIMO Network

Naufan Raharya, Wibowo Hardjawana, Obada Al-Khatib, Branka Vucetic
2020 IEEE Access  
In this paper, we propose a parallel pursuit-learning-based joint pilot allocation and multi-BS association.  ...  Pilot allocation and multi-base-station (BS) association have been used to combat the PC effect and to maximize the network spectral efficiency.  ...  Being a single virtual cell, a cell-free massive MIMO system supports fewer UEs compared to a virtual-cell distributed massive MIMO system.  ... 
doi:10.1109/access.2020.2982974 fatcat:qc5zo4hn6jgsjejyewzf7mng3e

A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO [article]

Myeung Suk Oh, Anindya Bijoy Das, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
2023 arXiv   pre-print
In this paper, we address the decentralized pilot assignment (PA) problem for scalable O-RAN-based CFmMIMO systems.  ...  O-RAN is a natural architectural fit for cell-free massive multiple-input multiple-output (CFmMIMO) systems, where many geographically-distributed access points (APs) are employed to achieve ubiquitous  ...  Open-RAN (O-RAN), cell-free massive MIMO, deep reinforcement learning, pilot assignment. I. INTRODUCTION A.  ... 
arXiv:2301.04774v3 fatcat:agnmvyujpjbcvk7cqf6v6xc7h4

Table of Contents

2020 IEEE Transactions on Vehicular Technology  
Hanzo 9174 Graph Coloring Based Pilot Assignment for Cell-Free Massive MIMO Systems . . . . . . H. Liu, J. Zhang, S. Jin, and B.  ...  Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tvt.2020.3011246 fatcat:jc4kjbytyfgi5h5oe53i4b7ew4

User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions [article]

Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas
2021 arXiv   pre-print
This survey paper investigates the emerging user-centric cell-free massive Multiple-input multiple-output (MIMO) network architecture that sets a foundation for future mobile networks.  ...  We present here a guide to the key challenges facing the deployment of this network scheme and contemplate the solutions being proposed for the main bottlenecks facing cell-free communications.  ...  The study in [4] proposes a downlink orthogonal pilot assignment strategy for cell-free massive MIMO. The users are divided into two groups based on a defined user pilotutility.  ... 
arXiv:2104.14589v2 fatcat:z7janupib5cytnedsnst4f6uua

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
+ Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  Relaying System With SWIPT Under Outdated CSI; TVT Dec. 2020 15580-15593 Hodtani, G.A., see Gholami, R., TVT Sept. 2020 9938-9950 Hoki, K., see Kawakami, T., TVT Dec. 2020 16168-16172 Hong, C.,  ...  ., +, TVT Aug. 2020 8627-8642 Pilot Design and Allocation for Multi-Cell Massive MIMO Systems With Two-Tier Receiving.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIMO Networks [article]

Aidong Yang, Xinlang Yue, Ye Ouyang
2021 arXiv   pre-print
In this paper, we propose a reinforcement learning (RL) assisted full dynamic beamforming for ICI mitigation in 5G downlink.  ...  The inter-cell interference (ICI) is one of the main impairments faced by 5G communications due to frequency-reuse technologies.  ...  A smart pilot assignment scheme, which is effective to mitigate interference but aims at a single cell, is proposed in [24] to reduce pilot contamination by smartly assigning orthogonal pilots to users  ... 
arXiv:2103.11782v2 fatcat:4g4qei4v7besbgba5whz6gcs6e

Resource Allocation for Near-Field Communications: Fundamentals, Tools, and Outlooks [article]

Bokai Xu, Jiayi Zhang, Hongyang Du, Zhe Wang, Yuanwei Liu, Dusit Niyato, Bo Ai, Khaled B. Letaief
2024 arXiv   pre-print
Then, we summarize optimization tools, such as numerical techniques and machine learning methods, for addressing near-field resource allocation, emphasizing their strengths and limitations.  ...  Extremely large-scale multiple-input-multiple output (XL-MIMO) is a promising technology to achieve high spectral efficiency (SE) and energy efficiency (EE) in future wireless systems.  ...  tools for power control in cell-free extremely large-scale MIMO systems.  ... 
arXiv:2310.17868v2 fatcat:6rc4uw25evhg3eavq5v4p5o3wi
« Previous Showing results 1 — 15 out of 248 results