Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Yu, Nam Yul"'
Autor:
Yu, Nam Yul, Yu, Wei
Grant-free access is a key enabler for connecting wireless devices with low latency and low signaling overhead in massive machine-type communications (mMTC). For massive grant-free access, user-specific signatures are uniquely assigned to mMTC device
Externí odkaz:
http://arxiv.org/abs/2402.02307
Autor:
Lee, Kyubihn, Yu, Nam Yul
In edge intelligence, deep learning~(DL) models are deployed at an edge device and an edge server for data processing with low latency in the Internet of Things~(IoT). In this letter, we propose a new end-to-end learning-based wireless image recognit
Externí odkaz:
http://arxiv.org/abs/2303.09188
Autor:
Yu, Nam Yul
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 low latency. In this paper, a two-stage genetic algorithm (GA) is propos
Externí odkaz:
http://arxiv.org/abs/2108.00361
Autor:
Yu, Nam Yul
Non-orthogonal multiple access (NOMA) is an emerging technology for massive connectivity in machine-type communications (MTC). In code-domain NOMA, non-orthogonal spreading sequences are uniquely assigned to all devices, where active ones attempt a g
Externí odkaz:
http://arxiv.org/abs/2004.01446
Autor:
Cho, Wonwoo, Yu, Nam Yul
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 measurement matrix. To construct the secret matrix and renew it at ea
Externí odkaz:
http://arxiv.org/abs/1903.05436
Autor:
Yu, Nam Yul
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 cryptosystem can be perfectly secure if it employs a random Gaussian sensing ma
Externí odkaz:
http://arxiv.org/abs/1709.05744
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 (JSM-2) in the presence of noise. Using mathematical tools, we develop u
Externí odkaz:
http://arxiv.org/abs/1604.00742
Autor:
Yu, Nam Yul
A (periodic) correlation function is an important measure to evaluate the effectiveness of pseudorandom sequences. In practice, the sequences are required to have the impulse-like autocorrelation function. Also, crosscorrelation magnitudes of the dis
Externí odkaz:
http://hdl.handle.net/10012/2634
Autor:
Yu, Nam Yul
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a $K \times N$ measurement matrix for compressed sensing is deterministically constructed via multiplicative character seq
Externí odkaz:
http://arxiv.org/abs/1011.2740