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 coordinated beam forming and power allocation method under the power constraint of a single base station. Background technique [0002] In order to improve spectrum utilization efficiency, cellular mobile communication systems generally use spectrum multiplexing with a spectrum reuse factor of 1 to construct a communication network, which not only increases spectrum utilization efficiency, but also relieves the pressure of cell planning and placement of base station nodes. However, the cellular mobile network constructed by this method produces severe inter-cell interference, especially the co-channel interference of the cell edge users is more serious, which leads to a serious impact on the throughput performance of the cellular mobile communication system network. Recently, in order to improve the performance of cell edge users and the s...

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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