Opportunistic signal spatial alignment of multi-user bi-directional relay system

Abstract

A base station-user networking mode in a UDN network is used for the following scenarios: a communication system comprising a plurality of base stations and a plurality of users divides the base stations into different clusters, and the users in the clusters adopt a zero-forcing precoding scheme to perform downlink transmission. The method is characterized by comprising the following two operationsteps: (1) a base station clustering stage: taking geographical coordinate information of base stations as input, dividing the base stations into different clusters by utilizing a mean vector offsetalgorithm, and ensuring that the base stations with closer geographical positions are in the same cluster; and (2) a user network access stage: after the base stations are clustered, the base stationsin the same cluster send the same reference signal, the user receives and calculates a reference signal power value, and when an antenna constraint condition is satisfied, base station-user cooperation finds a network access mode which maximizes the sum of user reference received power values through a greedy algorithm. Compared with the traditional clustering method, the base station clusteringmethod provided by the invention has the advantages that the result is more stable and effective, and the practicability is higher.

Description

technical field [0001] The invention relates to a base station-user networking mode, specifically, divides multiple base stations and multiple users into multiple clusters, and belongs to the technical field of wireless communication. Background technique [0002] With the growing maturity of IoT and M2M services, UDN (ultra-dense network) is gradually taking shape and will open a new chapter in wireless access networks. The core idea of ​​UDN is network densification, and its main feature is that the distance between wireless access nodes and user equipment (not limited to human-centric traditional equipment, but also many IoT and M2M equipment) can be gradually reduced. It is worth noting that the base station / user density in the 5G network will continue to increase, and may even exceed the user density in some areas; different types of base stations will be deployed in the network, such as macro base stations, micro base stations, home base stations, and relay base statio...

AI Technical Summary

Problems solved by technology

For the traditional two-layer heterogeneous network, a distributed AP clustering algorithm has been proposed, in which the AP clustering problem is remodeled by converting it into a subgraph partition problem in graph theory, and then using the classic clustering algorithm, K -Mean clustering can quickly obtain suboptimal solutions with better performance, but the problem is that the clustering results will vary greatly with the selection of initial points

[0004] Aiming at the problem that the existing method is unstable and does not fully consider the degree of freedom of the airspace, the present invention proposes a base station-user networking method in the UDN network

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