Huawei Technologies Co., Limited

Nokia Solutions and Networks Oy

Xiaojin Zheng

Kari Veikko Horneman

Jing Xu

Jiang Wang

Yong Teng

Pengcheng Zhang

Xun Zhou

Yusun Fu

Siduo Shen

Ziyu Guo

A bridge network and an antenna module are provided. The antenna module includes n antennas, the bridge network includes n bridge modules, a third port of a 1bridge module in the n bridge modules is connected to a second port of an nbridge module in the n bridge modules, a third port of an ibridge module in the n bridge modules is connected to a second port of an (i−1)bridge module in the n bridge modules, and fourth ports of the n bridge modules are respectively connected to the n antennas, where i is an integer greater than or equal to 2 and less than or equal to n, and n is an integer greater than or equal to 2.

Antenna system and access network device

A wireless transmission parameter adjustment method and a related device. The method includes monitoring a frequency parameter of a cell, determining, in response to detecting that the frequency parameter of the cell increases, a location relationship between a first terminal and an access network device, wherein the first terminal is a terminal camping on the cell, and adjusting a target power parameter of the first terminal according to the location relationship between the first terminal and the access network device, so that a radio remote unit power does not exceed a preset power, where the target power parameter is a power parameter other than a cell-specific reference signal power.

Parameter adjustment method and related device

A method and an apparatus for resource allocation in a local wireless node of a system of a plurality of local wireless nodes is disclosed. An inner circle subgradient resource allocation iteration is performed based on information received from at least one other wireless node of the system and an iteration parameter until a convergent result. An updated iteration parameter is provided by at least one outer circle subgradient iteration based on the convergent result of the inner circle subgradient resource allocation iteration. The inner circle subgradient resource allocation iteration is then repeated at least once using the updated iteration parameter until a convergent result. Resources are then allocated based on the iterations.

Allocation of resources in a communication system

Growing community of inventors

Shanghai, China

Xiaojin Zheng