W
Wiroonsak Santipach
Researcher at Kasetsart University
Publications - 47
Citations - 1522
Wiroonsak Santipach is an academic researcher from Kasetsart University. The author has contributed to research in topics: Communication channel & MIMO. The author has an hindex of 12, co-authored 44 publications receiving 1489 citations. Previous affiliations of Wiroonsak Santipach include Northwestern University & King Mongkut's University of Technology North Bangkok.
Papers
More filters
Journal ArticleDOI
Joint Optimization of IRS Beamforming and Transmit Power for MIMO-NOMA Downlink With Statistical Channel Information
TL;DR: In this article , the authors considered NOMA downlink with a multiple-antenna base station (BS) and single antenna mobile users and proposed a joint optimization scheme based on channel covariance instead of fast-changing channel coefficients.
Proceedings ArticleDOI
Kd-tree codebook for limited feedback CDMA
TL;DR: A quantization scheme based on a Kd (K dimensional)-tree algorithm for signature sequence in a reverselink direct sequence (DS)- code division multiple access (CDMA) and shows that the Kd-tree codebook performs close to the optimal codebook with only fraction of computational complexity.
Journal ArticleDOI
Capacity of a Multiple-Antenna Fading Channel with a Quantized Precoding Matrix
TL;DR: In this paper, the performance of random vector quantization (RVQ) is analyzed in a multiple-input multiple-output (MIMO) channel, where the precoding matrix is selected from a random codebook containing independent, isotropically distributed entries.
Journal ArticleDOI
Tree-Structured Random Vector Quantization for Limited-Feedback Wireless Channels
TL;DR: In this paper, a tree-structured random vector quantization (RVQ) codebook is proposed to reduce the search complexity of RFQ codebook, and the authors derive the performance approximation for TS RVQ in a large system limit, which predicts the performance of a moderate-size system.
Journal ArticleDOI
Optimal Transmit Power and Channel-Information Bit Allocation With Zeroforcing Beamforming in MIMO-NOMA and MIMO-OMA Downlinks
TL;DR: In this paper , the authors proposed the schemes that optimize transmit power and the number of bits for channel direction information (CDI) for all users to achieve the max-min signal-tointerference plus noise ratio (SINR) fairness.