Joint resource allocation method based on user clustering and Stackelberg model

Abstract

The invention discloses a joint resource allocation method based on user clustering and a Stackelberg model. The joint resource allocation method comprises the following steps: constructing a Femtocell double-layer heterogeneous network formed by mixing MBS and a plurality of FBS; establishing a path loss model according to the Femtocell double-layer heterogeneous network; secondly, proposing a distance measurement method based on path loss on the basis of a channel model, clustering densely deployed FBS in a cell by adopting a clustering algorithm, grouping users according to a clustering result, allocating different subcarrier channels to different user groups, and converting the densely deployed FBS into a sparsely deployed FBS scene; constructing a game model for controlling the powerbetween the MBS and the FUE according to the Stackelberg game model, wherein the MBS is a leading party of the game to price the interference power from the FUE, the FUE is a participant of the game to dynamically adjust the transmitting power of the FUE according to the interference pricing given by the MBS, and when the game reaches an equilibrium position, the interference income of the MBS andthe overall link rate of the FUE reach optimal solutions. The coverage range and the communication performance of the Femtocell network are improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a joint resource allocation method based on user clustering and a Stackelberg model. Background technique [0002] With the development of mobile communication technology and the sharp increase in the demand for indoor communication capacity and rate, how to solve indoor signal coverage and improve communication capacity and rate has become a research hotspot. At the same time, enhanced mobile broadband (eMBB), as one of the most important application scenarios of 5G, is basically deployed in relatively high frequency bands. According to the knowledge of electromagnetics, it can be known that the higher the frequency of electromagnetic signals, the greater the loss in space propagation. Therefore, in order to meet the communication requirements, it is necessary to increase the transmission power of the base station or increase the deployment density of ...

AI Technical Summary

Problems solved by technology

The K-means clustering algorithm is used for clustering FBS, which lacks the consideration of channel propagation characteristics on the clustering effect

In addition, using the Stackelberg game model for resource allocation does not consider the network performance and resource allocation effect under multi-spectrum resources

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