Detection of MIMO systems based on dynamic search for high-order modulations

Pei Hua Wu, Ming Xian Chang

研究成果: Conference contribution


The typical sphere decoding (SD) algorithm can efficiently achieve the ML detection for the multiple-input multiple-output (MIMO) system. However, the complexity of the SD algorithm increases for high-order modulations, like 16-QAM and 64-QAM. In this work, we propose an efficient detection algorithm for the MIMO system based on the SD algorithm with dynamic search. During the tree search process, we calculate the soft value of each visited node based on the path from the root to this node. The expansion range of each visited node is determined by the soft value and a branch list. With the soft values, we can reduce the ranges of nodes to be searched while maintaining the performance of near-ML detection. For a given branch list, we also give an upper bound of the total number of visited nodes. The channel inversion or channel sorting preprocessing is not necessary. We also consider an improved scheme with the dynamic branch list. For the proposed algorithm, the simulation results show that we can achieve the bit-error rate (BER) close to the optimal ML detection with much lower complexity than the typical SD algorithm.

主出版物標題2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
出版狀態Published - 2019 九月
事件90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
持續時間: 2019 九月 222019 九月 25


名字IEEE Vehicular Technology Conference


Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
國家United States

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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