14 citations · 27 across the 10 of their papers we have counts for
9 papers · 1 filter
Design of Non-Orthogonal Sequences Using a Two-Stage Genetic Algorithm for Grant-Free Massive Connectivity
Nam Yul Yu
In massive machine-type communications (mMTC), grant-free access is a key enabler for a massive number of users to be connected to a base station with low signaling overhead and lo…
Binary Golay Spreading Sequences and Reed-Muller Codes for Uplink Grant-Free NOMA
Nam Yul Yu
Non-orthogonal multiple access (NOMA) is an emerging technology for massive connectivity in machine-type communications (MTC). In code-domain NOMA, non-orthogonal spreading sequenc…
Secure and efficient compressed sensing based encryption with sparse matrices
Wonwoo Cho, Nam Yul Yu
In this paper, we study the security of a compressed sensing (CS) based cryptosystem called a sparse one-time sensing (S-OTS) cryptosystem, which encrypts a plaintext with a sparse…
Indistinguishability and Energy Sensitivity of Asymptotically Gaussian Compressed Encryption
Nam Yul Yu
The principle of compressed sensing (CS) can be applied in a cryptosystem by providing the notion of security. In information-theoretic sense, it is known that a CS-based cryptosys…
An Information Theoretic Study for Noisy Compressed Sensing With Joint Sparsity Model-2
Sangjun Park, Nam Yul Yu, Heung-No Lee
In this paper, we study a support set reconstruction problem in which the signals of interest are jointly sparse with a common support set, and sampled by joint sparsity model-2 (J…
Deterministic Compressed Sensing Matrices from Multiplicative Character Sequences
Nam Yul Yu
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a measurement matrix for compressed sen…