
Les réseaux sans fil 5G et 6G représentent des avancées majeures dans le domaine des communications mobiles, repoussant les limites des débits de données, de la latence et de la densité de connectivité. La 5G a introduit des innovations telles que le MIMO massif, l'utilisation du spectre des ondes millimétriques et le découpage du réseau pour prendre en charge diverses applications, allant du haut débit mobile amélioré aux communications ultra-fiables à faible latence. S'appuyant sur ces avancées, la 6G envisage les communications térahertz et les surfaces réfléchissantes intelligentes pour atteindre un débit et une efficacité spectrale sans précédent. L'intégration du calcul en périphérie et des techniques d'apprentissage automatique optimise dynamiquement les performances du réseau et l'allocation des ressources.
Voici notre dernière sélection de publications et de brevets mondiaux en anglais sur les réseaux sans fil 5G et 6G, parmi de nombreuses revues scientifiques en ligne, classées et axées sur les réseaux sans fil 5G et 6G, le mimo massif, les ondes millimétriques, la formation de faisceaux, le découpage du réseau, l'internet 6G, la communication térahertz, la communication entre appareils, la densification du réseau, le partage dynamique du spectre, l'internet 5G, l'accès multiple non orthogonal, la gestion des faisceaux, le mimo massif sans cellule, l'émetteur-récepteur térahertz 6G, le réseau 5G et le réseau 6G.
Base station and control method
Patent published on the 2026-05-21 in WO under Ref WO2026105227 by NTT DOCOMO INC [JP] (Andou Kei [jp])
Abstract: Provided is a base station including a distribution unit and a wireless unit. The wireless unit has: a control part that executes processing related to initial beamforming; a transmission part that transmits, to the distribution unit, information necessary for beamforming optimization; and a reception part that receives, from the distribution unit, a parameter related to optimized beamforming. The control part executes beamforming readjustment by using the parameter related to the optimized beam[...]
Our summary: The base station includes a distribution unit and a wireless unit. The wireless unit performs initial beamforming and communicates with the distribution unit for optimization. It adjusts beamforming based on parameters received from the distribution unit.
Base station, beamforming, wireless unit, control method
Patent
Integrated antenna device and phase calibration method thereof
Patent published on the 2026-05-13 in EP under Ref EP4742439 by TMY TECHNOLOGY INC [TW] (Chang Su-wei [tw], Wu Chih-hsien [tw], Chan Chun-cheng [tw], Kuo Hsuan-hung [tw], Lin Xian Wu [tw])
Abstract: An integrated antenna device and a phase calibration method thereof are provided. The integrated antenna device includes an antenna array formed by patch antenna units (Ant_1, Ant_2, Ant_3, Ant_4) and a beamforming integrated circuit (BFIC) (BFIC1). The antenna array is disposed on a first surface of a substrate. The patch antenna units (Ant_1, Ant_2, Ant_3, Ant_4) are symmetrically arranged around an array center (C10) of the antenna array, and each of the patch antenna units (Ant_1, Ant_2, Ant[...]
Our summary: The content describes an integrated antenna device with a symmetrical patch antenna array. It includes a beamforming integrated circuit connected to feed points of each antenna unit. The design emphasizes the arrangement of feed points outside the patch units relative to the array center.
Integrated Antenna, Phase Calibration, Antenna Array, Beamforming Circuit
Patent
A novel sensing-mode handoff mechanism for high-resolution and accurate sensing in b5g networks
Patent published on the 2026-05-13 in EP under Ref EP4741869 by VESTEL ELEKTRONIK SANAYI VE TICARET AS [TR] (Al-olaimat Ayat [tr], Rafique Saira [tr], Arslan HÜseyin [tr])
Abstract: [0001] Techniques and methods are described to perform hand-over from a first object sensing device to a second object sensing device. The handover is a handover from mono-static sensing to bi-static sensing or a handover from bi-static sensing to mono-static sensing. A first pulse train and a second pulse train are transmitted within a pulse repetition interval, with the second pulse train being transmitted after the transmitting of the first pulse train. A presence and/or a location of a first[...]
Our summary: This paper presents a novel handoff mechanism for high-resolution sensing in b5g networks. It describes the transition between mono-static and bi-static sensing using pulse trains. The mechanism detects reception signals to determine the need for handover.
sensing-mode handoff, b5g networks, mono-static sensing, bi-static sensing
Patent
Methods and system for timeline of ue-initiated beam management reporting
Patent published on the 2026-05-07 in US under Ref US20260128780 by SAMSUNG ELECTRONICS CO LTD [KR] (Shahmohammadian Hoda [us], Awadin Mohamed [us], Bae Jung Hyun [us])
Abstract: [0000] A system and a method are disclosed for implementing reporting timeline determination relating to UE-initiated beam reporting procedures. The reporting timeline determination may enable selection of the received beams to measure and include in the UE-initiated beam report in a manner that realizes improvements to beam reporting, including improving the accuracy and/or reliability of the information contained in the UE-initiated beam reports and reducing latency associated with the UE-init[...]
Our summary: The system and method improve UE-initiated beam reporting by determining an optimal reporting timeline. It enhances the accuracy and reliability of beam reports while reducing transmission latency. The process involves transmitting indications, identifying reference resources, and measuring selected beams.
beam management, UE-initiated reporting, timeline determination, latency reduction
Patent
Methods and apparatus for resolving station id conflict in coordinated beamforming
Patent published on the 2026-05-07 in US under Ref US20260128763 by HUAWEI TECH CO LTD [CN] (Hasabelnaby Mahmoud [ca], Suh Jung Hoon [ca], Xin Yan [ca], Aboul-magd Osama [ca], Norouzi Sara [ca])
Abstract: [0000] Methods and apparatus for configuring coordinated beamforming among multiple APs which mitigate or prevent station ID collisions between STAs associated with different collaborating Basic Service Sets are provided. A common BSS color is used for all STAs in the U-SIG field of a Co-BF PPDU. A disambiguation bit may be used in the UHR-SIG field to determine with which of two APs a STA is associated. The Initial Control Frame and Initial Control Response sequence can be leveraged to assign n[...]
Our summary: The document discusses methods to resolve station ID conflicts in coordinated beamforming. It describes using a common BSS color and disambiguation bits to manage STA associations. Additionally, it outlines assigning unique sets of bits to prevent conflicts among overlapping APs.
station ID conflict, coordinated beamforming, Basic Service Sets, APs
Patent
Beam management in event triggered reporting
Patent published on the 2026-05-06 in EP under Ref EP4738722 by DINAN ESMAEL HEJAZI [US] (Cirik Ali Cagatay [us], Dinan Esmael Hejazi [us])
Abstract: A wireless device receives one or more radio resource control (RRC) messages comprising one or more configuration parameters of a cell, where the one or more configuration parameters comprise a first parameter indicating a TCI state, among a first TCI state and a second TCI state, to apply to a first set of reference signals for channel state information (CSI) reporting triggered by the wireless device. The wireless device receives a control command indicating the first TCI state and the second [...]
Our summary: The wireless device receives RRC messages with configuration parameters, including TCI states. It triggers a CSI report when the first radio link quality exceeds a threshold compared to the second radio link quality. Control commands indicate the applicable TCI states for reference signals.
Beam management, RRC messages, TCI state, CSI reporting
Patent
AI-Driven Real-Time Phase Optimization for Energy Harvesting-Enabled Dual-IRS Cooperative NOMA Under Non-Line-of-Sight Conditions
Published on 2026-02-03 by Yasir Al-Ghafri, Hafiz M. Asif, Zia Nadir, Naser Tarhuni @MDPI
Abstract: In this paper, a wireless network architecture is considered that combines double intelligent reflecting surfaces (IRSs), energy harvesting (EH), and non-orthogonal multiple access (NOMA) with cooperative relaying (C-NOMA) to leverage the performance of non-line-of-sight (NLoS) communication mainly and incorporate energy efficiency in next-generation networks. To optimize the phase shifts of both IRSs, we employ a machine learning model that offers a low-complexity alternative to traditional opt[...]
Our summary: This paper presents a wireless network architecture utilizing dual intelligent reflecting surfaces, energy harvesting, and cooperative NOMA. A machine learning model optimizes IRS phase shifts for improved performance in non-line-of-sight communication. Numerical analysis shows significant enhancements in spectral efficiency and service reliability, promoting energy-efficient communication systems.
AI, Energy Harvesting, NOMA, Machine Learning
Publication
Enhancing Spectral Efficiency of 6G Downlink Beamforming via Cooperative Multi-Agent Deep Reinforcement Learning
Published on 2026-02-02 by Ali Al Janaby, Hussain Al-Rizzo, Yahya Qassim @MDPI
Abstract: This paper presents a new beamforming algorithm for Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems using Multi-Agent Reinforcement Learning (MARL). The proposed approach is shown to significantly enhance the efficiency and performance of future wireless communication systems. The system comprises two base stations, each equipped with a Uniform Rectangular Array (URA) of directional antennas. Each base station has RL algorithms that use beamforming to provide the optimal Signal-to-In[...]
Our summary: This paper introduces a beamforming algorithm for MU-MIMO systems using Multi-Agent Reinforcement Learning. The approach enhances spectral efficiency and performance in 6G downlink communication. Simulation results indicate significant improvements in throughput and SINR.
Beamforming, Multi-Agent Reinforcement Learning, MU-MIMO, Spectral Efficiency
Publication