6 papers · 1 filter
CSI Feedback Under Basis Mismatch: Rate-Splitting Transform Coding for FDD Massive MIMO
Youngmok Park, Bumsu Park, Namyoon Lee
In frequency division duplex massive multiple-input multiple-output systems, downlink channel state information must be fed back within a limited uplink budget. While transform cod…
On the Entropy of General Mixture Distributions
Namyoon Lee
Mixture distributions are a workhorse model for multimodal data in information theory, signal processing, and machine learning. Yet even when each component density is simple, the…
Multipoint Code-Weight Sphere Decoding: Parallel Near-ML Decoding for Short-Blocklength Codes
Yubeen Jo, Geon Choi, Yongjune Kim +1
Ultra-reliable low-latency communications (URLLC) operate with short packets, where finite-blocklength effects make near-maximum-likelihood (near-ML) decoding desirable but often t…
Hierarchical Subcode Ensemble Decoding of Polar Codes
Yubeen Jo, Geon Choi, Chanho Park +1
Subcode-ensemble decoders improve iterative decoding by running multiple decoders in parallel over carefully chosen subcodes, increasing the likelihood that at least one decoder av…
Rate-Matching Deep Polar Codes via Polar Coded Extension
Geon Choi, Namyoon Lee
Deep polar codes are pre-transformed polar codes that employ a multi-layered polar kernel transformation strategy to enhance code performance in short blocklength regimes. However,…
Sparsely Pre-transformed Polar Codes for Low-Latency SCL Decoding
Geon Choi, Namyoon Lee
Deep polar codes, employing multi-layered polar kernel pre-transforms in series, are recently introduced variants of pre-transformed polar codes. These codes have demonstrated the…