19 citations · 52 across the 18 of their papers we have counts for
19 papers
Multi-layer MIMO Relay as Deep Physical Neural Networks: Power Amplifiers as Activation Functions
Meng Hua, Itsik Bergel, Deniz Gündüz
Wireless physical neural networks (WPNNs) embed neural computation directly into analog hardware, offering lower energy consumption and latency than conventional digital implementa…
Wireless Physical Neural Networks (WPNNs): Opportunities and Challenges
Meng Hua, Itsik Bergel, Tolga Girici +2
Wireless communication systems exhibit structural and functional similarities to neural networks: signals propagate through cascaded elements, interact with the environment, and un…
Asymptotic Analysis of the Downlink in Cooperative Massive MIMO Systems
Itsik Bergel, Siddhartan Govindasamy
We consider the downlink of a cooperative cellular communications system, where several base-stations around each mobile cooperate and perform zero-forcing to reduce the received i…
Non-Linear Relay Optimization using Deep-Learning tools
Itsik Bergel
Widespread deployment of relays can yield a significant boost in the throughput of forthcoming wireless networks. However, the optimal operation of large relay networks is still in…
Network Optimization -- Using Relays as Neurons
Itsik Bergel
We consider the optimization of a network with amplify-and-forward relays. Observing that each relay has a power limit, and hence a non-linear transfer function, we focus on the si…
Pseudo channel reciprocity in FDD satellite channels
Rei Richter, Itsik Bergel, Yair Noam +1
Channel reciprocity can significantly reduce the overhead of obtaining channel-state information at the transmitter (CSIT). However, true reciprocity only exists in time division d…
Asymptotic Performance of TDOA Estimation using Satellites
Hodaya Halevi, Itsik Bergel, Yair Noam
We present novel lower bounds on the localization error using a network of satellites randomly deployed on a sphere around Earth. Our new analysis approach characterizes the locali…
Variable pool testing for infection spread estimation
Itsik Bergel
We present a method for efficient estimation of the prevalence of infection in a population with high accuracy using only a small number of tests. The presented approach uses pool…
Cache Aided Communications with Multiple Antennas at Finite SNR
Itsik Bergel, Soheil Mohajer
We study the problem of cache-aided communication for cellular networks with multi-user and multiple antennas at finite signal-to-noise ratio. Users are assumed to have non-symmetr…
Large Matrix Asymptotic Analysis of ZF and MMSE Crosstalk Cancelers for Wireline Channels
Itsik Bergel, S. M. Zafaruddin, Amir Leshem
We present asymptotic expressions for user throughput in a multi-user wireline system with a linear decoder, in increasingly large system sizes. This analysis can be seen as a gene…
Optimal and Suboptimal Routing Based on Partial CSI in Random Ad-hoc Networks
Yiftach Richter, Itsik Bergel
In this paper we consider routing in random wireless-adhoc-networks (WANETs), where each node is equipped with a single antenna. Our analysis uses a proper model of the physical la…
Signal Processing for Gigabit-Rate Wireline Communications
S. M. Zafaruddin, Itsik Bergel, Amir Leshem
Signal processing played an important role in improving the quality of communications over copper cables in earlier DSL technologies. Even more powerful signal processing technique…
Deep-LMS for gigabit transmission over unshielded twisted pair cables
Avi Zanko, Itsik Bergel, Amir Leshem
In this paper we propose a rapidly converging LMS algorithm for crosstalk cancellation. The architecture is similar to deep neural networks, where multiple layers are adapted seque…
Lower Bound on the Localization Error in Infinite Networks with Random Sensor Locations
Itsik Bergel, Yair Noam
We present novel lower bounds on the mean square error (MSE) of the location estimation of an emitting source via a network where the sensors are deployed randomly. The sensor loca…
Uplink performance of multi-antenna cellular networks with co-operative base stations and user-centric clustering
Siddhartan Govindasamy, Itsik Bergel
We consider a user-centric co-operative cellular network, where base stations (BSs) close to a mobile co-operate to detect its signal using a (joint) linear minimum-mean-square-err…
A lower bound on the data rate of dirty paper coding in general noise and interference
Itsik Bergel, Daniel Yellin, Shlomo Shamai
Dirty paper coding (DPC) allows a transmitter to send information to a receiver in the presence of interference that is known (non-causally) to the transmitter. The original versio…
Uplink Downlink Rate Balancing and throughput scaling in FDD Massive MIMO Systems
Itsik Bergel, Yona Perets, Shlomo Shamai
In this work we extend the concept of uplink-downlink rate balancing to frequency division duplex (FDD) massive MIMO systems. We consider a base station with large number antennas…
Uplink Downlink Rate Balancing in Cooperating Cellular Networks
Itsik Bergel, Yona Perets, Shlomo Shamai
Broadcast MIMO techniques can significantly increase the throughput in the downlink of cellular networks, at the price of channel state information (CSI) feedback from the mobiles,…
Bounds on the capacity of OFDM underspread frequency selective fading channels
Itsik Bergel, Sergio Benedetto
The analysis of the channel capacity in the absence of prior channel knowledge (noncoherent channel) has gained increasing interest in recent years, but it is still unknown for the…