A clustering method of mimo multi-cell base station cacheable system

Abstract

The invention discloses a clustering method of a MIMO multi-cell base station cacheable system, belonging to the technical field of wireless communication. This method is based on a more practical cacheable base station system modeling, considers the single-user cell downlink model, uses the soft cluster size constraint graph partitioning clustering method to pre-cluster the cell, and then performs the cluster size balancing process according to the set judgment conditions. And measure the advantages and disadvantages of clustering by the effective rate; make the final clustering scheme more in line with the feasibility condition of interference alignment. Compared with the prior art, using the clustering method proposed by the present invention can obtain a clustering scheme with more balanced cluster size and better system performance under the system model that the base station can cache, which can adapt to higher rate transmission.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a clustering method for removing interference in a multi-cell cacheable system. Background technique [0002] With the advent of 5G technology, data transmission is getting higher and higher. The factors that restrict the throughput of multi-cell multiple-input multiple-output (MIMO) systems mainly include backhaul link capacity and wireless link interference. For the limited capacity of the backhaul link, the base station can pre-cache the content by designing an appropriate cache model, which can make the system reach the reachable rate of the wireless link with a certain probability, and effectively improve the system performance; the limitation of the wireless link , mainly caused by the interference between multiple users, the Interference Alignment (IA) technology is widely used as an interference management scheme to eliminate the interference. ...

AI Technical Summary

Problems solved by technology

[0009] 1. This solution does not consider base station caching, and with the increase in data transmission rate requirements, base station caching is a development trend. Under the condition of limited backhaul link capacity, how to align cacheable base station system cluster interference is not clear plan;

[0010] 2. The scheme performs clustering by defining the number of clusters, but whether the size of each cluster (that is, the number of cells contained in the cluster) strictly meets the IA feasibility condition after clustering is uncertain, and the clustering result may not be strict Eligible for interference alignment feasibility

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