Results 81 to 90 of about 425 (160)

Enhanced Fronthaul Capacity in CRANs: Sum-Rate Maximization via Joint Optimal Design of STAR-RIS, Massive MIMO and Data Compression

IEEE Open Journal of Vehicular Technology
Cloud Radio Access Networks (CRAN) face a critical challenge due to the limited capacity of fronthaul links overwhelmed by massive data transmissions. This paper proposes a novel CRAN design that effectively tackles this challenge.
Iqra Farhat, Umar Rashid, Omer Waqar
doaj   +1 more source

Deep Reinforcement Learning Based Joint Allocation Scheme in a TWDM-PON-Based mMIMO Fronthaul Network

IEEE Photonics Journal
In next-generation centralized or cloud radio access networks (C-RANs), time and wavelength division multiplexed passive optical network (TWDM-PON) has been well recognized as a promising candidate to build the mobile fronthaul. Considering the stringent
Yuansen Cheng, Yingjie Shao, Shifeng Ding, Chun-Kit Chan   +3 more
doaj   +1 more source

Analog Radio-over-Fiber Fronthaul by a WDM-PON employing Double RSOA Self-Seeding and Carrier-Reuse Techniques

Journal of Microwaves, Optoelectronics and Electromagnetic Applications
WDM-PON has been considered a promising solution for future fronthaul links concerning new mobile networks applications. However, in order to avoid inventory problems and reduce operation costs, there is a need for colorless sources, where the same basic
Adelcio M. Souza, Daniel R. Celino, Ulysses R. Duarte, Murilo A. Romero   +3 more
doaj   +1 more source

URLLC-Enabled Full-Duplex Cell-Free Massive MIMO Systems With Mobility

IEEE Open Journal of the Communications Society
In the rapidly evolving domain of intelligent vehicular systems, reliable and instantaneous communication is paramount. This paper delves into the robustness of an ultra-reliable low-latency communication (URLLC)-enabled full-duplex cell-free massive ...
Sravani Kurma, Keshav Singh, Prabhat Kumar Sharma, Chih-Peng Li, Theodoros A. Tsiftsis   +4 more
doaj   +1 more source

Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding. [PDF]

Entropy (Basel), 2019
Park SH, Simeone O, Shamai Shitz S.
europepmc   +1 more source

Cluster Content Caching: A Deep Reinforcement Learning Approach to Improve Energy Efficiency in Cell-Free Massive Multiple-Input Multiple-Output Networks. [PDF]

Sensors (Basel), 2023
Tan F, Peng Y, Liu Q.
europepmc   +1 more source

Task-Oriented Edge Networks: Decentralized Learning Over Wireless Fronthaul

IEEE Internet of Things Journal
This paper studies task-oriented edge networks where multiple edge internet-of-things nodes execute machine learning tasks with the help of powerful deep neural networks (DNNs) at a network cloud. Separate edge nodes (ENs) result in a partially observable system where they can only get partitioned features of the global network states.
Hoon Lee, Seung-Wook Kim
openaire   +2 more sources

Streamlined Swift Allocation Strategies for Sequential Fronthaul Cell-Free Massive MIMO

IEEE Access
Centralized access point (AP) selection approaches in sequential fronthaul cell-free (SF-CF) networks, such as centralized maximum ratio combining (CMRC) or centralized optimal sequence linear processing (COSLP), often hinder its scalability by ...
Filipe Conceicao, Marco Gomes, Vitor Silva, Rui Dinis   +3 more
doaj   +1 more source

Beyond 5G Fronthaul Based on FSO Using Spread Spectrum Codes and Graphene Modulators. [PDF]

Sensors (Basel), 2023
Neves D, Sanches A, Nobrega R, Mrabet H, Dayoub I, Ohno K, Haxha S, Glesk I, Jurado-Navas A, Raddo T.   +9 more
europepmc   +1 more source

Outdoor mm-wave 5G/6G transmission with adaptive analog beamforming and IFoF fronthaul. [PDF]

Sci Rep, 2023
Pérez Santacruz J, Meyer E, Budé RXF, Stan C, Jurado-Navas A, Johannsen U, Tafur Monroy I, Rommel S.   +7 more
europepmc   +1 more source