Product Design, Manufacturing & Innovation Resources

Neueste Veröffentlichungen und Patente zu 5G- und 6G-Mobilfunknetzen

5G 6G Drahtlosnetzwerke

Tipp: Zusätzlich zu der unten stehenden Auswahl können Sie unsere 2 gesamten Datenbanken durchsuchen und filtern:

> Kostenloses Tool zur Suche nach Veröffentlichungen < nach Autor, Thema, Stichwörtern, Datum oder Zeitschrift.

> Kostenloses Tool zur Suche nach Patenten < für Patente in englischer Sprache vom Europäischen Patentamt.

5G 6G drahtlose Netzwerke
Fortschritte bei den 5g- und 6g-Mobilfunknetzen treiben die Innovation im Mobilfunk voran Kommunikation durch verbesserte Datenraten, Latenzzeiten und Konnektivität.

5G- und 6G-Mobilfunknetze stellen bahnbrechende Fortschritte in der Mobilkommunikationstechnologie dar und ermöglichen deutlich höhere Datenraten, geringere Latenzzeiten und eine höhere Verbindungsdichte. 5G führte Innovationen wie Massive MIMO, die Nutzung des Millimeterwellenspektrums und Network Slicing ein, um vielfältige Anwendungen zu unterstützen – von verbessertem mobilem Breitband bis hin zu extrem zuverlässiger Kommunikation mit niedriger Latenz. Darauf aufbauend setzt 6G auf Terahertz-Kommunikation und intelligente reflektierende Oberflächen, um einen beispiellosen Durchsatz und eine höhere spektrale Effizienz zu erzielen. Die Integration von Edge Computing und maschinellem Lernen optimiert die Netzwerkleistung und die Ressourcenzuweisung dynamisch.

Dies ist unsere neueste Auswahl an weltweiten Veröffentlichungen und Patenten in englischer Sprache zu 5G und 6G Wireless Networks, zwischen vielen wissenschaftlichen Online-Zeitschriften, klassifiziert und fokussiert auf 5G und 6G Wireless Network, Massive Mimo, Millimeter Wave, Beamforming, Network Slicing, 6G Internet, Terahertz-Kommunikation, Device-to-Device-Comm, Netzwerkverdichtung, Dynamic Spectrum Sharing, 5G Internet, Non-Orthogonal Multiple Access, Beam Management, Cell-free Massive Mimo, 6G Terahertz Transceiver, 5G Network und 6G Network.

Systems and methods to maximize device battery savings during non-terrestrial communication

Patent published on the 2026-05-28 in US under Ref US20260150042 by T MOBILE INNOVATIONS LLC [US] (Polaganga Roopesh Kumar [us], Dhar Meenakshi [us], Waje Sanjay [us])

Abstract: Systems and methods are provided for conserving battery power of a UE during active communication with a non-terrestrial network (NTN) satellite. The systems and methods involve determining that unsupported antennas of the UE are active and deactivating the unsupported antennas. Further, the systems and methods include disabling a beam-sweeping functionality of the beamforming antenna of the UE within the NTN, upon determining the spatial orientation of the UE and adjusting the spatial orientati[...]


Our summary: The systems and methods optimize battery power for user equipment during non-terrestrial network communication. They deactivate unsupported antennas and disable beam-sweeping functionality based on the device s spatial orientation. Additionally, MIMO functionality is disabled when the diversity gain is low within the NTN coverage zone.

battery savings, non-terrestrial communication, beamforming antenna, MIMO functionality

Patent

Backscatter communication method and apparatus based on non-orthogonal multiple access using reconfigurable intelligent surface

Patent published on the 2026-05-28 in US under Ref US20260149487 by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INST [KR] (Noh Hoondong [kr], Ju Hyung Sik [kr], Jung Haejoon [kr], You Byungha [kr], Hwang Jijun [kr])

Abstract: [0000] A method of a backscatter receiver may comprise: receiving a combined backscattered signal in which direct backscattered signals transmitted from a first backscatter node (BSN) and a second BSN included in a first cluster through direct paths and reflected backscattered signals reflected by an RIS node are combined; demodulating, among the direct backscattered signals, a backscattered signal having a larger received signal strength based on a comparison between a received signal strength [...]


Our summary: The method involves receiving and combining backscattered signals from multiple nodes. It demodulates the signal with the highest strength and generates a remaining signal. Finally, the remaining signal is further demodulated for communication.

Backscatter communication, non-orthogonal multiple access, reconfigurable intelligent surface, signal demodulation

Patent

Physical layer security key generation for wireless communication

Patent published on the 2026-05-27 in EP under Ref EP4750111 by IHP GMBH INNOVATIONS FOR HIGH PERFORMANCE MICROELECTRONICS / LEIBNIZ INST FUER INNOVATIVE MIKROELEKT [DE] (Manjappa Navaneetha C [de], Wimmer Lara [de], Sark Vladica [de], Grass Eckhard [de])

Abstract: [0001] For generation of a physical-layer secret key for use in wireless communication, a first transceiver and a second transceiver, both with beamforming capability, in a sequence of repetitions covering a plurality of beam pairs from a beamforming codebook defining a set of beam pairs, select a transmit beam angle and a receive beam angle in respective random order unknown to the respective other transceiver, for probe signal exchange and determining respective versions of channel state infor[...]


Our summary: This method involves two transceivers using beamforming to select transmit and receive angles randomly. They exchange probe signals to gather channel state information. The information is then quantized and reconciled to generate a composite physical-layer secret key.

Physical-layer security, key generation, beamforming, wireless communication

Patent

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

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

Behandelte Themen: 5G, 6G, drahtlose Netze, Datenraten, Latenz, Konnektivität, Massive MIMO, Millimeterwellen, Network Slicing, Terahertz-Kommunikation, intelligente reflektierende Oberflächen, Edge Computing, maschinelles Lernen, spektrale Effizienz, ultrazuverlässige Kommunikation mit geringer Latenz, Ressourcenzuweisung, Netzleistung, ISO/IEC 30133, ITU-T G1010, IEEE 80211ax, 3GPP TS 38300 und ITU-R M2410.

Historischer Kontext

1965
1970
1970
1974-11-15
1980
1980
1980
1964
1968
1970
1970
1975
1980
1980
1980

(wenn das Datum unbekannt oder nicht relevant ist, z. B. „Strömungsmechanik“, wird eine gerundete Schätzung seines bemerkenswerten Auftretens bereitgestellt)

Bilder in voller Größe und Downloads sind nur für registrierte Mitglieder 100% kostenlos verfügbar.

> Login <