A Codeword Search Scheme for Massive MIMO Systems

Ilgyu Choi, Chungyong Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In limited-feedback systems, conventional codeword search scheme targets the entire codebook to find a codeword, which maximizes an inner product norm with a channel direction. Since the computational complexity of the conventional codeword search scheme is proportional to the multiplication of the number of antennas and the codebook size, it spends too much time in the massive MIMO systems. From a geometric observation, we propose a fast codeword search scheme that stops search when an inner product norm between a codeword and a channel direction is larger than a threshold to reduce the search time. We derive an optimal threshold that can reduce the average number of searches without search accuracy loss and a suboptimal threshold that can reduce the average number of searches largely at the cost of search accuracy. We analyze the performances of the proposed scheme as functions of the thresholds, and show that the optimal threshold loses its benefit in the massive MIMO systems and the suboptimal threshold can reduce the number of searches by e-1 ≈ 37% without performance loss when the number of antennas is infinite. The simulation results show that our theoretical analysis is accurate.

Original languageEnglish
Article number8730538
Pages (from-to)6878-6890
Number of pages13
JournalIEEE Transactions on Vehicular Technology
Issue number7
Publication statusPublished - 2019 Jul

Bibliographical note

Funding Information:
Manuscript received December 24, 2018; revised April 15, 2019; accepted May 21, 2019. Date of publication June 4, 2019; date of current version July 16, 2019. This work was supported by Samsung Electronics Co., Ltd. The review of this paper was coordinated by Dr. Z. Ding. (Corresponding author: Chungyong Lee.) The authors are with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: gentlealgu@naver.com; cylee@yonsei.ac.kr). Digital Object Identifier 10.1109/TVT.2019.2919942

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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