Future wireless networks will integrate sensing, learning, and communication to provide new
services beyond communication and to become more resilient. Sensors at the network …

Reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) wireless systems
offer robustness to blockage and enhanced coverage. In this paper, we develop an …

Greedy approaches in general, and orthogonal matching pursuit in particular, are the most
commonly used sparse recovery techniques in a wide range of applications. The complexity …

In this paper, we propose first a mmWave channel tracking algorithm based on
multidimensional orthogonal matching pursuit algorithm (MOMP) using reduced sparsifying …

Greedy sparse recovery has become a popular tool in many applications, although its
complexity is still prohibitive when large sparsifying dictionaries or sensing matrices have to …

In this paper, we address the complex task of estimating the parameters for multiple
propagation paths of realistic millimeter wave (mmWave) channels. We propose a solution …

Wireless networks are incorporating higher frequency bands and higher bandwidths by
exploiting MIMO technology with large arrays. These large arrays and bandwidths enable …

In the integrated sensing and communication system, sensing functionalities are expected to
benefit the communication instead of compromising its performance. In this paper, a sensing …

In this paper, we propose a novel indoor localization algorithm that exploits the angle and
delay information of the sparse channel paths at mmWave. We consider that the user and …