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Power amplifier-aware user scheduling

A technology for scheduling allocation and frequency, applied in power management, multiple use of transmission paths, transmission systems, etc., and can solve problems such as reducing the signal-to-noise ratio

Active Publication Date: 2019-10-29
TELEFON AB LM ERICSSON (PUBL)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] If massive MIMO network nodes serving multiple wireless devices utilize low-complexity radios with limited linear performance, beamforming self-interference arising from nonlinear signal distortions can degrade the signal-to-noise ratio (SINR) for a given user

Method used

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  • Power amplifier-aware user scheduling
  • Power amplifier-aware user scheduling
  • Power amplifier-aware user scheduling

Examples

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Embodiment Construction

[0027] figure 1 Shows frequency scheduling assignments with potential non-linear distortion between adjacent channels. figure 1 The situation shown in will be used as a starting point for understanding how nonlinear signal distortions may be generated for multiple users in antenna array beamforming, which understanding will be used for the inventive concept of the present disclosure to mitigate said nonlinear signal distortions. figure 1 Shows the transmit power in the downlink to two separate wireless devices (User 1 and User 2) with similar channels. User 1 and User 2 are scheduled at close frequencies, e.g. with two adjacent subcarriers f 1 and f 2. The rest of the spectrum is occupied by omnidirectional transmissions. Furthermore, the transmit power to User 1 is much greater than that to User 2 . For purposes of illustration, it will be determined what constitutes a similar channel, close in frequency, and one transmit power much greater than the other by the nonlinea...

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Abstract

The present disclosure relates to a method (100) for determining scheduling assignments for reducing nonlinear signal distortion, performed in a network node of a wireless communications network. Thenetwork node comprises an antenna array arranged to perform beamforming. The method (100) comprises obtaining (S10) channel state information, CSI, relating to respective channels between the networknode and at least two wireless devices served by the network node. The method further comprises determining (S20) precoding vectors to the at least two wireless devices based on the obtained CSI. Themethod also comprises determining (S30) at least two frequency scheduling assignments for each of the at least two wireless devices. The method additionally comprises estimating (S40), for each of thedetermined at least two frequency scheduling assignments, a respective transmitted nonlinear signal distortion to each of the at least two wireless devices based on the obtained CSI. The method yet further comprises selecting (S50) a frequency scheduling assignment of the determined at least two frequency scheduling assignments based on the estimated transmitted nonlinear signal distortions. Thepresent disclosure also relates to corresponding network nodes and computer programs.

Description

technical field [0001] The present disclosure relates to the field of wireless communications. Specifically, it concerns scheduling for beamforming self-interference mitigation due to nonlinear signal distortion. Background technique [0002] Massive Multiple-Input Multiple-Output MIMO is a key technical component in next-generation wireless communications. However, most of the published work so far has mainly considered massive MIMO to provide substantial improvements for enhanced mobile broadband eMBB. [0003] However, there are many other use cases within New Radio NR that can be addressed to some extent using massive MIMO, provided we can deploy suitable algorithms for precoding etc. Examples of these use cases could be Massive Machine Type Communication M-MTC (where an extremely large number of sensors need to communicate with network nodes (e.g. base stations) over a narrow bandwidth), or critical Machine Type Communication C-MTC / Ultra Reliable Low Latency Communic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/08H04W72/04H04W72/10H04W72/54
CPCH04W72/0453H04W72/046H04B7/0617H04W52/42H04W52/346H04L5/0057H04L5/0058H04L5/0062H04L5/0053H04L5/006H04L5/0094H04W72/541H04W72/56H04B7/0452
Inventor U·古斯塔夫松C·莫伦E·拉尔松
Owner TELEFON AB LM ERICSSON (PUBL)