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Chaotic particle swarm optimization-based OFDM system resource allocation algorithm

A chaotic particle swarm and allocation algorithm technology, applied in the field of system resource allocation, can solve the problems of premature particle swarm algorithm and lack of population diversity

Inactive Publication Date: 2011-02-23
LUDONG UNIVERSITY
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Problems solved by technology

However, due to the lack of population diversity, the particle swarm algorithm is prone to "premature" phenomenon

Method used

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  • Chaotic particle swarm optimization-based OFDM system resource allocation algorithm
  • Chaotic particle swarm optimization-based OFDM system resource allocation algorithm
  • Chaotic particle swarm optimization-based OFDM system resource allocation algorithm

Examples

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Embodiment 1

[0079] The purpose of the multi-user OFDM adaptive allocation algorithm is to find the optimal power so that the system rate is maximized under a given power constraint. The system model is described as:

[0080] max Σ k , n ω k , n R k , n

[0081] constrained to

[0082] where K is the total number of users, N is the total number of subcarriers in the system, ω k，n is the weighting factor of user k in subchannel n, which is used as a fair parameter to ensure the balance between network throughput and fairness. P in the first constraint in the model total represents the total available bandwidth, and the second constraint represents the non-negativity of power.

[0083] R k is the channel capacity of user k, defined as:

[0084] ...

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Abstract

The invention relates to a chaotic particle swarm optimization-based orthogonal frequency division multiplexing (OFDM) system resource allocation algorithm and belongs to the technical field of system resource allocation. The invention provides a utility function maximized framework-based resource allocation algorithm aiming at the power allocation problem in a wireless multi-user orthogonal frequency division multiplexing (OFDM) system. In an actual network environment, the optimized algorithm is non-convex and a classical optimization method is difficult to solve the problem. Therefore, a particle swarm method in intelligent optimization is applied to non-convex optimized algorithm design. Logistics chaotic searching is embedded into a PSO algorithm aiming at the problem that particle swarm optimization easily has a local extremum point, and the chaotic particle swarm algorithm is provided. Compared with like algorithms, the novel algorithm effectively solves the non-convex problem, can make the system have better performance, and can effectively prevent the particle swarm algorithm from having a local solution.

Description

technical field [0001] The invention relates to an OFDM system resource allocation algorithm based on chaotic particle swarm optimization, and belongs to the technical field of system resource allocation. Background technique [0002] Orthogonal frequency division multiplexing (OFDM, orthogonal frequency division multiplexing) is a key multi-carrier transmission technology in wireless communication systems. It has the advantages of anti-multipath interference, anti-burst noise and effectively overcome frequency selective fading. Asymmetrical Digital Subscriber Line (ADSL), Digital Sound Broadcasting (DAB) and digital broadcast television have been widely used in many fields. [0003] The basic principle of OFDM is to divide the frequency band into several orthogonal sub-carriers, and the high-speed data stream is divided into a corresponding number of low-speed data streams for parallel transmission on each sub-carrier. The subcarriers of the traditional OFDM system adopt a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/26H04L5/02
Inventor 唐美芹刘晓华辛亚林
Owner LUDONG UNIVERSITY
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