4 accepted papers
We consider the optimization of a network with amplify-and-forward relays. Observing that the power limit at each relay presents a non-linear transfer function, we focus on the similarity between relay networks and neural networks. Thus, we treat relays as neurons, and use deep learning tools to ach…
We present a novel scheme for cache-aided communication over multiple-input and single output (MISO) cellular networks. The presented scheme achieves the same number of degrees of freedom as known coded caching schemes, but, at much lower complexity. The scheme is derived for communication systems w…
We analyze the performance of a network of very simple nano-devices that cooperate to detect and/or amplify the presence of target molecules. The nano-devices only have the capability to detect a single type of molecules and in response release molecules. Furthermore, each device has a binary operat…
We derive and study a novel lower bound on the performance of a partial zero forcing (PZF) receiver in the uplink of a cellular network, where the mobile locations are modeled as a homogeneous Poisson Point Process (HPPP). The PZF is a suboptimal receiver. Yet, it is easy to analyze and in many case…