Wideband wireless channel is a time dispersive channel and becomes strongly frequency-selective. However, in most cases, the channel is composed of a few dominant taps and a large part of taps is approximately zero or zero. To exploit the sparsity of multi-path channel (MPC), two methods have been proposed. They are, namely, greedy algorithm and convex program. Greedy algorithm is easy to be im...

We study the problem of downlink channel estimation in multi-user massive multiple input output (MIMO) systems. To this end, we consider use Bayesian compressive sensing approach which clustered sparse structure angular domain is employed to reduce pilot overhead. capture structure, employ a conditionally independent identically distributed Bernoulli-Gaussian prior on vector representing channe...

Deep-unfolding neural networks (NNs) have received great attention since they achieve satisfactory performance with relatively low complexity. Typically, these deep-unfolding NNs are restricted to a fixed-depth for all inputs. However, the optimal number of layers required convergence changes different In this paper, we first develop framework deep deterministic policy gradient (DDPG)-driven ad...