Multiple-input multiple-output (MIMO) is a key ingredient of next-genera...
Massive multiple-input multiple-output (MIMO) is a key technology used i...
We propose a novel optimization-based decoding algorithm for LDPC-coded
...
A distributed algorithm for least mean square (LMS) can be used in
distr...
Deep unfolding is a promising deep-learning technique, whose network
arc...
Multicast beamforming is a promising technique for multicast communicati...
The Landweber algorithm defined on complex/real Hilbert spaces is a grad...
Deep unfolding is a promising deep-learning technique in which an iterat...
A novel method which is called the Chebyshev inertial iteration for
acce...
Sparsely spread code division multiple access (SCDMA) is a promising
non...
In this paper, we study a compute-and-forward (CAF) relaying scheme with...
Complex-field linear/nonlinear inverse problems are central issues in
wi...
The compute-and-forward (CAF) scheme has attracted great interests due t...
We present a novel optimization-based decoding algorithm for LDPC codes ...
The paper presents a deep learning-aided iterative detection algorithm f...
Compute-and-forward (CAF) relaying is effective to increase bandwidth
ef...
The paper presents a deep learning-aided iterative detection algorithm f...
Connectivity of wireless sensor networks (WSNs) is a fundamental global
...
A low-precision analog-to-digital converter (ADC) is required to impleme...
The distribution of the computational cost of linear-programming (LP)
re...
Compute-and-forward relaying is effective to increase bandwidth efficien...
k-connectivity of random graphs is a fundamental property indicating
rel...
In this paper, we propose a novel sparse signal recovery algorithm calle...
The fault tolerance of random graphs with unbounded degrees with respect...