Multipoint coordinated beam forming and power allocation method for single base station power constraint

Abstract

The invention discloses a multipoint coordinated beam forming and power allocation method for single base station power constraint. The method comprises the following steps of: firstly, transforming a multi-cell coordinated downlink minimum user signal-to-noise ratio maximization problem under the single base station power constraint into a virtual uplink optimization problem through a Lagrange duality theory; then, iteratively solving the virtual uplink optimization problem through a binary optimization method and a geometric programming optimization method, and obtaining an optimal receiving beam vector and an optimal user transmitting power of the virtual uplink; and finally, converting the solution of the virtual uplink to an optimized beam forming vector and the transmitting power of the downlink according to the duality theory. In comparison with the existing multipoint coordinated beam forming method, the method provided by the invention has obvious advantages in the aspect of speed per energy consumption and worst user speed performance, and with the method, the transmitting power can be saved by 25-30% at each base station and the impartiality among the users can be ensured.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a multi-point cooperative beamforming and power allocation method under the power constraint of a single base station. Background technique [0002] In order to improve the utilization efficiency of the spectrum, the cellular mobile communication system generally adopts the spectrum multiplexing method with a spectrum reuse factor of 1 to construct the communication network, which not only realizes the increase of the spectrum utilization efficiency, but also alleviates the pressure of the cell planning and the placement of the base station nodes. However, the cellular mobile network constructed by this method produces serious inter-cell interference, especially the impact of co-channel interference on cell edge users is more serious, which leads to a serious impact on the throughput performance of the cellular mobile communication system network. Recen...

AI Technical Summary

Problems solved by technology

At present, the design of multi-point cooperative beamforming and power allocation methods mainly focuses on the problem of how to design beam vectors and power allocation between cooperative base stations under the total power constraints between cooperative base stations. There are relatively few literatures that study the power constraints of each base station. Next, how to design the beam vector and power allocation between cooperative base stations

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