Results 61 to 70 of about 8,421 (222)

A Comparison of Reinforcement Learning Algorithms in Fairness-Oriented OFDMA Schedulers

Information, 2019
Due to large-scale control problems in 5G access networks, the complexity of radio resource management is expected to increase significantly. Reinforcement learning is seen as a promising solution that can enable intelligent decision-making and reduce ...
Ioan-Sorin Comșa, Sijing Zhang, Mehmet Aydin, Pierre Kuonen, Ramona Trestian, Gheorghiță Ghinea   +5 more
doaj   +1 more source

DRL‐Based Joint Clustering and Trajectory Optimization for UAV‐Assisted Emergency Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
6G is expected to see unprecedented data traffic surges. UAV‐assisted MEC aids emergency communications but faces challenges from dynamic user mobility and heterogeneous tasks. To address these, the proposed KM‐PPO integrates interference‐aware k‐means clustering (for user aggregation and initial UAV deployment) and PPO (for stable policy updates and ...
Ruirui Xu, Yuanmo Lin, Jian Huang, Huayong Xu, Zhongyue Lei   +4 more
wiley   +1 more source

Energy-Efficient OFDM Radio Resource Allocation Optimization With Computational Awareness: A Survey

IEEE Access, 2022
In this paper, we review radio resource optimization methods for energy-efficient wireless communication in links and networks using the Orthogonal Frequency Division Multiplexing (OFDM) and Orthogonal Frequency Division Multiple Access (OFDMA ...
Bartosz Bossy, Pawel Kryszkiewicz, Hanna Bogucka   +2 more
doaj   +1 more source

Joint Decision‐Making for UAV Deployment and Computational Offloading Optimized for Energy Consumption and Latency in Space‐Air‐Ground Integrated Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
Within the framework of integrated space‐air‐ground edge computing networks, this paper investigates the joint optimization of task allocation, user‐UAV association, UAV deployment, and computation resource allocation between UAVs and the LEO satellite.
Tengda Huang, Tao Hu, Di Wu, Wenzhi Zhao
wiley   +1 more source

Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
This article presents SA‐PPO, a Security‐Aware Proximal Policy Optimisation framework for federated learning over grant‐free NOMA (non‐orthogonal multiple access) in IoT networks. By jointly optimising access control, resource allocation, and trust‐weighted aggregation using cross‐layer indicators, SA‐PPO enhances both communication reliability and ...
Emmanuel Atebawone, Kwame Opuni‐Boachie Obour Agyekum, James Dzisi Gadze, Kwasi Adu‐Boahen Opare, Owusu Agyeman Antwi, Robert Akromond   +5 more
wiley   +1 more source

System level evaluation of interference in vehicular mobile broadband networks [PDF]

, 2011
This paper presents results from a novel OFDMA multi-cell mobile broadband system-level simulator. The tool is used to statistically characterize uplink and downlink inter-cell interference.
Nix, AR, Mark Beach, Andrew Nix, David Halls, Halls, DE, Beach, MA   +5 more
core   +1 more source

Federated Split Learning for Large Language Models With RSMA

IET Communications, Volume 20, Issue 1, January/December 2026.
This study proposes a federated split learning framework for large language models (FedsLLM) integrated with rate‐splitting multiple access (RSMA), aimed at enhancing the efffciency and privacy of LLM training in wireless communication systems. ABSTRACT This study proposes a federated split learning framework for large language models (FedsLLM ...
Jianxin Dai, Rui Tang, Feibo Jiang, Zhaohui Yang, Qianqian Yang, Zhaoyang Zhang, Linqing Gui   +6 more
wiley   +1 more source

System level evaluation of UL and DL interference in OFDMA mobile broadband networks

, 2011
This paper presents results from a novel OFDMA multi-cell mobile broadband system level simulator. The tool is used to statistically characterize uplink and downlink inter-cell interference.
Nix, AR, Mark Beach, Andrew Nix, David Halls, Beach, MA, Halls, David   +5 more
core   +1 more source

Low-feedback multiple-access and scheduling via location and geometry information [PDF]

, 2010
This paper exploits the use of location information of wireless terminals to improve the performance of a beamforming system and support multiple access. Based on a system providing real-time 3D coordinate information of all terminals in the environment,
Mark Beach, Matthew Webb, Angela Doufexi, Doufexi, A, Han, C, Webb, MW, Beach, MA, Congzheng Han   +7 more
core   +1 more source

OFDMA-Based Medium Access Control for Next-Generation WLANs

EURASIP Journal on Wireless Communications and Networking, 2009
Existing medium access control (MAC) schemes for wireless local area networks (WLANs) have been shown to lack scalability in crowded networks and can suffer from widely varying delays rendering them unsuited to delay sensitive applications, such as voice
H. M. Alnuweiri, Y. Pourmohammadi Fallah, P. Nasiopoulos, S. Khan   +3 more
doaj   +2 more sources