A Pilot Allocation Method Based on Genetic Algorithm in Large-Scale Antenna System

Abstract

The invention discloses a genetic algorithm-based pilot allocation method in a large-scaled antenna system. The purpose of improving a sum rate of a user in the system serves as a target, genetic algorithm is adopted, and the optimal pilot allocation scheme is obtained. Firstly, a gene code concept is introduced, different pilot allocation schemes are generated through exchanging the codes, the sum rates of the user in the system in different pilot allocation schemes are further calculated, and a guideline for the survival of the fittest is adopted, a corresponding gene code is kept; secondary, reproduction, crossover and mutation operation are carried out on the kept gene code, and a new gene code is generated; and finally, the above steps are repeated, through multiple turns of survival of the fittest and gene crossover mutation, the pilot allocation scheme with the maximal user sum rate in the system is obtained. The method of the invention adopts the genetic algorithm, limitation of a local optimal solution is broken, pilot pollution influences of the large-scaled antenna system are lessened, and complexity of the pilot allocation strategy is reduced.

Description

technical field [0001] The invention relates to a pilot allocation method based on a genetic algorithm in a large-scale antenna system, belonging to the technical field of wireless communication. Background technique [0002] A large-scale antenna wireless communication system uses a large number of antennas at the base station to serve multiple end users with the same time-frequency resource. Theoretical analysis shows that this architecture can greatly improve the spectrum efficiency and energy efficiency of the system, and when the number of antennas is sufficient, it can eliminate the internal interference of the cell and reduce the impact of noise on system performance. While obtaining the above advantages, there is still a certain problem in the large-scale antenna system, that is, when the pilot multiplexing scheme is adopted among multiple terminal users, its performance will be limited by pilot pollution. [0003] When the number of terminal users served by multipl...

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Problems solved by technology

Literature "Pilotscheduling schemes for multi-cell massive multiple-input–multiple-output transmission" [S.Jin, M.Li, Y.Huang, Y.Du, X.Gao, "IET Communications" vol.9, issue5, pp. 689–700,2015.] Involved in improving the user and rate in the cell, researched the pilot allocation strategy with low complexity, mainly including the greedy algorithm, the tabu search algorithm and the joint algorithm of the two, but the above algorithm The search properties are often limited to local optima

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