Big-data-mining-based wireless channel modeling method

    公开(公告)号:US09906963B2

    公开(公告)日:2018-02-27

    申请号:US15605788

    申请日:2017-05-25

    CPC classification number: H04W16/22 H04L41/142 H04L41/16

    Abstract: The present disclosure provides a big-data-mining-based wireless channel modeling method comprising: obtaining image information of a measurement environment and a channel impulse response data sample under a preset condition; obtaining at least one multipath wave and a channel parameter of each of the multipath wave according to the channel impulse response data sample using a channel parameter estimation algorithm; and clustering the at least one multipath wave according to the channel parameter of each of the multipath wave using a clustering algorithm to obtain at least one cluster; obtaining at least one scattering object in the measurement environment according to the image information of the measurement environment; matching each of the cluster with each of the scattering object to obtain a cluster kernel which is a cluster matching with the scattering object; establishing, a base wireless channel model under the preset condition according to all of the cluster kernel.

    Multi-functional reconfigurable intelligence surface integrating signal reflection, refraction and amplification and energy harvesting and application thereof

    公开(公告)号:US12294423B2

    公开(公告)日:2025-05-06

    申请号:US18387063

    申请日:2023-11-06

    Abstract: A multi-functional reconfigurable intelligence surface (MF-RIS) integrating signal reflection, refraction and amplification and energy harvesting and an application thereof are provided. The MF-RIS can support wireless signal reflection, refraction and amplification and energy harvesting on one surface, to amplify, reflect, or refract a signal through harvested energy, and further enhance effective coverage of wireless signals. When a signal model of the MF-RIS constructed in the present disclosure is applied to a multi-user wireless network, a non-convex optimization problem of jointly designing operation modes and parameters that include BS transmit beamforming, and different components and a deployment position of the MF-RIS is constructed with an objective of maximizing a sum rate (SR) of a plurality of users in an MF-RIS-assisted non-orthogonal multiple access network. Then, an iterative optimization algorithm is designed to effectively solve the non-convex optimization problem, to maximize the SR of the plurality of users.

    TIME ALLOCATION METHOD, EQUIPMENT, DEVICE, AND STORAGE MEDIUM BASED ON AN ON-BOARD DEVICE

    公开(公告)号:US20230370877A1

    公开(公告)日:2023-11-16

    申请号:US18030236

    申请日:2021-08-30

    CPC classification number: H04W24/08 H04W72/0446

    Abstract: Embodiments of the present application provide a time allocation method, device, device, and storage medium based on an on-board device. The method includes; constructing a target function of a plurality of on-board devices; determining the plurality of time allocation ratios contained in the value set, in the order from small to large, as the time allocation ratio to be tested respectively; inputting the determined time allocation ratio to be tested into the target function of the plurality of on-board devices, obtaining a target function value of each on-board device; judging whether the target function value of the on-board device satisfies both a preset condition, and the first constraint corresponding to the on-board device; if the result of the judgment is negative, returning to execute the step of determining the plurality of time allocation ratios contained in the value set, in the order from small to large, as the time allocation ratio to be tested respectively; if the result of the judgment is positive, determining the current time allocation ratio to be tested as a time allocation result of the on-board device.

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