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TDD system pilot frequency scheduling method based on genetic algorithm

A system pilot and genetic algorithm technology, applied in the transmission system, digital transmission system, pilot signal distribution, etc., can solve the problems of insufficient performance, and achieve the goals of maximizing system reachability and speed, fast distribution, and reducing delay Effect

Active Publication Date: 2015-12-30
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The traditional enumeration method scheduling strategy has performance deficiencies, and the high efficiency of the genetic

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  • TDD system pilot frequency scheduling method based on genetic algorithm
  • TDD system pilot frequency scheduling method based on genetic algorithm
  • TDD system pilot frequency scheduling method based on genetic algorithm

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Embodiment Construction

[0024] The present invention takes the large-scale MIMO multi-cell TDD system as a model, aims at reducing pilot pollution, applies the high efficiency of the genetic algorithm in solving the combinatorial optimization problem to the pilot scheduling process, and uses the system reachability and rate as the fitness function , the pilot allocation scheme is used as the population individual to participate in the population evolution, and the process of population evolution is also the process that the pilot allocation scheme tends to the optimal solution. The number of cells is 2, and a single cell has 4 users as an example for illustration.

[0025] Determine the pilot scheme set: assign 4 different pilots to 4 users from the currently available pilot set, and the adjacent second cell uses the same set of pilot sequences, then the pilot scheme set Ωn={s 1 ,s 2 ,...s n} has 576 elements, corresponding to 576 different pilot allocation schemes.

[0026] Coding of the pilot al...

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Abstract

The invention provides a TDD system pilot frequency scheduling method based on a genetic algorithm. A large-scale MIMO multi-cell TDD system serves as a model, reduction of pilot frequency pollution serves as an objective, pilot frequency distribution serves as a main line, and the high efficiency of the genetic algorithm in solving a combinational optimization problem is applied to a pilot frequency scheduling problem of the large-scale MIMO multi-cell TDD system. According to the method, the achievable sum rate of the system serves as a fitness function of the genetic algorithm, a pilot frequency distribution scheme serves as a population individual to participate in population evolution, and the population evolution process is the optimal solution trending process of the pilot frequency distribution scheme. Rapid pilot frequency distribution is achieved and pilot frequency distribution time delay is reduced while pilot frequency pollution is reduced and the available sum rate of the system is maximized.

Description

technical field [0001] The invention relates to a TDD system pilot scheduling method based on a genetic algorithm, and belongs to the technical field of the TDD system. Background technique [0002] The massive MIMO system has been widely concerned and researched due to its unique advantages, but the uplink pilot pollution has become the main performance bottleneck of the massive MIMO multi-cell TDD system. In the TDD mode, the uplink and downlink channels are reciprocal, and the base station estimates the downlink channel state information according to the pilot sequence transmitted by the uplink. Unlike a single cell, the uplink pilot sequence has a great influence on the estimation of channel state information in a multi-cell system. Taking C cells as an example, assuming that each cell is equipped with a root antenna and there are U single-antenna users, if all users use completely orthogonal pilot sequences, at least a pilot with a symbol length of U×C is required. Th...

Claims

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Application Information

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IPC IPC(8): H04L5/00
CPCH04L5/0051
Inventor 邵世祥安琪王海荣
Owner NANJING UNIV OF POSTS & TELECOMM