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Probabilistic Sorting Memory Constrained Tree Search Algorithm for MIMO System

  • Xiaoping Jin
  • Zheng Guo
  • Ning Jin
  • Zhengquan Li
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 251)

Abstract

Considering the shortcomings of large storage space requirements and high complexity in multiple-symbol differential detection algorithm in current Multiple Input Multiple Output (MIMO) system, this paper proposes a probabilistic sorting memory constrained tree search algorithm (PSMCTS) by using performance advantage of sorting algorithm and storage advantage of memory constrained tree search (MCTS). Based on PSMCTS, a pruning PSMCTS named PPSMCTS is put forward. Simulation results show that the performance of PSMCTS is approach to that of ML algorithm under fixed memory situations, while the computational complexity is lower than that of MCTS algorithm in small storage capacity conditions under low signal noise ratio (SNR) region. PPSMCTS has more prominent advantages on reduction of computational complexity than PSMCTS algorithm. Theoretical analysis and simulation demonstrate that the two proposed algorithms can effectively inherit the good feature of MCTS algorithm, which are suitable for hardware implementation.

Keywords

MIMO Probabilistic sorting Memory constrained tree search Pruning algorithm 

Notes

Acknowledgement

This work was supported by Zhejiang Provincial Natural Science Foundation of China (no. LY17F010012), the Natural Science Foundation of China (no. 61571108), the open Foundation of State key Laboratory Of Networking and Switching Technology (Beijing University of Posts and Telecommunication no. SKLNST-2016-2-14).

Authors’ Contributions

Xiaoping Jin conceived the idea of the system model and designed the proposed schemes. Zheng Guo has done a part of basic work in this article. Ning Jin performed simulations of the proposed schemes. Zhengquan Li provided substantial comments on the work and supported and supervised the research. All of the authors participated in the project, and they read and approved the final manuscript.

Competing Interests

The authors declare that they have no competing interests.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Xiaoping Jin
    • 1
  • Zheng Guo
    • 1
  • Ning Jin
    • 1
  • Zhengquan Li
    • 2
    • 3
  1. 1.Department of Information EngineeringChina Jiliang UniversityHang ZhouChina
  2. 2.State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijingChina
  3. 3.National Mobile Communications Research LaboratorySoutheast UniversityNanjingChina

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