Hysteretic Noisy Chaotic Neural Networks Based Pilot Assignment

Kai SHAO; Shudong LI; Guangyu WANG; Tianfei FU

doi:10.11999/JEIT190748

Volume 42 Issue 10

Oct. 2020

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Kai SHAO, Shudong LI, Guangyu WANG, Tianfei FU. Hysteretic Noisy Chaotic Neural Networks Based Pilot Assignment[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2454-2461. doi: 10.11999/JEIT190748

Citation:

Kai SHAO, Shudong LI, Guangyu WANG, Tianfei FU. Hysteretic Noisy Chaotic Neural Networks Based Pilot Assignment[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2454-2461. doi: 10.11999/JEIT190748

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Hysteretic Noisy Chaotic Neural Networks Based Pilot Assignment

doi: 10.11999/JEIT190748

Kai SHAO^{1, 2, 3
,
,},
Shudong LI^{1, 2},
Guangyu WANG^{1, 2, 3},
Tianfei FU^{1, 2}

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Mobile Communications Technology, Chongqing 400065, China
3.
Engineering Research Center of Mobile Communications, Ministry of Education, Chongqing 400065, China

Received Date: 2019-09-27
Rev Recd Date: 2020-05-29

Available Online: 2020-06-24

Publish Date: 2020-10-13

Abstract

Abstract

In multi-cell massive Multiple Input Multiple Output (MIMO) systems, pilot contamination has become the bottleneck which restricts the performance of the whole system, so the reasonable usage of pilot resources can mitigate the pilot contamination of the system. In order to find the pilot allocation method that maximizes the total transmission capacity of edge users, a pilot allocation scheme based on Hysteretic Noise Chaotic Neural Network (HNCNN) is proposed for the first time. HNCNN is a famous optimization tool, and its optimization ability is related to the designed energy function. This scheme combines the characteristics of pilot resource usage and the calculation method of maximizing the total transmission capacity of edge users to design a new energy function. The simulation results show that the proposed network can converge to a better pilot allocation mode after a certain number of iterations. Compared with other literature pilot allocation solution, the pilot allocation method based on HNCNN can further reduce the influence of pilot contamination and improve the system performance.
- Massive Multiple Input Multiple Output(MIMO),
- Pilot contamination,
- Pilot assignment,
- Hysteretic Noise Chaotic Neural Network (HNCNN)

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References(15)

References

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