11 papers · 1 filter
On the Gaussian-Quadratic Rate-Distortion Function for Vector Sources with Individual Distortion Constraints
Shuao Chen, Junyuan Gao, Yuxuan Shi +4
This paper investigates the Gaussian-quadratic lossy compression with arbitrary source length under individual distortion constraints. The rate-distortion function (RDF) is lower-b…
Capacity-Region-Achieving Sparse Regression Codes for MIMO Multiple-Access Channels
Hao Yan, Lei Liu, Yuhao Liu +2
This paper proposes a coding framework for capacity-region-achieving sparse regression (SR) codes over MIMO multiple-access channels (MIMO-MAC), where a single SR code is used for…
FDD CSI Feedback under Finite Downlink Training: A Rate-Distortion Perspective
Shuao Chen, Junyuan Gao, Yuxuan Shi +4
This paper establishes the theoretical limits of channel state information (CSI) feedback in frequency-division duplexing (FDD) multi-antenna orthogonal frequency-division multiple…
Joint Lossy Compression for a Vector Gaussian Source under Individual Distortion Criteria
Shuao Chen, Junyuan Gao, Yuxuan Shi +4
This paper investigates the joint compression problem of a vector Gaussian source, where an individual distortion constraint is imposed on each source component. It is known that t…
Finite-Blocklength Information Theory
Junyuan Gao, Shuao Chen, Yongpeng Wu +4
Traditional asymptotic information-theoretic studies of the fundamental limits of wireless communication systems primarily rely on some ideal assumptions, such as infinite blocklen…
A joint channel estimation and beamforming separation principle for massive MIMO systems
Lorenzo Miretti, Slawomir StaÅczak, Giuseppe Caire
We demonstrate that separating beamforming (i.e., downlink precoding and uplink combining) and channel estimation in multi-user MIMO wireless systems incurs no loss of optimality u…