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Roger Shu Kwan Cheng
Researcher at Hong Kong University of Science and Technology
Publications - 183
Citations - 8645
Roger Shu Kwan Cheng is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Communication channel & Orthogonal frequency-division multiplexing. The author has an hindex of 34, co-authored 182 publications receiving 8435 citations. Previous affiliations of Roger Shu Kwan Cheng include University of Colorado Boulder & Princeton University.
Papers
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Journal ArticleDOI
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
TL;DR: The results show that the proposed algorithm outperforms multiuser OFDM systems with static time-division multiple access (TDMA) or frequency-divisionmultiple access (FDMA) techniques which employ fixed and predetermined time-slot or subcarrier allocation schemes.
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Channel estimation for OFDM transmission in multipath fading channels based on parametric channel modeling
TL;DR: It is demonstrated that the use of the parametric channel model can effectively reduce the signal subspace dimension of the channel correlation matrix for the sparse multipath fading channels and, consequently, improve the channel estimation performance.
Journal ArticleDOI
Gaussian multiaccess channels with ISI: capacity region and multiuser water-filling
TL;DR: It is shown that, as in the traditional memoryless multiaccess channel, frequency-division multiaccess (FDMA) with optimally selected frequency bands for each user achieves the total capacity of the multiuser Gaussian multi access channel with ISI.
Proceedings ArticleDOI
A VLSI architecture of a K-best lattice decoding algorithm for MIMO channels
TL;DR: A pipelined VLSI architecture for the implementation of the K-best algorithm, which is computational inexpensive and has fixed throughput and has similar performance as the optimal lattice decoding algorithm if high value of K is used.
Journal ArticleDOI
On the Performance of the MIMO Zero-Forcing Receiver in the Presence of Channel Estimation Error
TL;DR: Tight approximations for both the post-processing SNR distribution and bit error rate for MIMO ZF receivers with M-QAM and M-PSK modulated signals are derived in closed-form by modeling the estimation error as independent complex Gaussian random variables.