In this work, we study a full-duplex (FD) cloud radio access network (C-...
In this paper, we analyze the asymptotic rate for a multi-carrier (MC)
f...
Many practical sampling patterns for function approximation on the rotat...
In this paper, we address the power allocation problem for a decode and
...
Neural networks have been shown to be vulnerable against minor adversari...
In this paper, we present a deep learning based wireless transceiver. We...
In this paper, the goal is to design random or regular samples on the sp...
This work estimates the position and the transmit power of multiple
co-c...
Recently, there has been an abundance of works on designing Deep Neural
...
Group-sparsity is a common low-complexity signal model with widespread
a...
Despite the tremendous success of deep neural networks in various learni...
Considered as a data-driven approach, Fingerprinting Localization Soluti...
In this paper we address a worst-case weighted sum rate maximization pro...
In this work, we address the joint design of the wireless backhauling ne...
This paper investigates a discontinuous neural network which is used as ...