371 citations · 2.6k across the 122 of their papers we have counts for
13 papers · 1 filter
Virtual Cell Clustering with Optimal Resource Allocation to Maximize Capacity
Michal Yemini, Andrea J. Goldsmith
This work proposes a new resource allocation optimization and network management framework for wireless networks using neighborhood-based optimization rather than fully centralized…
Compressed Sensing Channel Estimation for OFDM with non-Gaussian Multipath Gains
Felipe Gomez-Cuba, Andrea J. Goldsmith
This paper analyzes the impact of non-Gaussian multipath component (MPC) amplitude distributions on the performance of Compressed Sensing (CS) channel estimators for OFDM systems.…
Capacity scaling in a Non-coherent Wideband Massive SIMO Block Fading Channel
Felipe Gomez-Cuba, Mainak Chowdhury, Alexandros Manolakos +2
The scaling of coherent and non-coherent channel capacity is studied in a single-input multiple-output (SIMO) block Rayleigh fading channel as both the bandwidth and the number of…
Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes
Marco Mondelli, Seyyed Ali Hashemi, John Cioffi +1
This work analyzes the latency of the simplified successive cancellation (SSC) decoding scheme for polar codes proposed by Alamdar-Yazdi and Kschischang. It is shown that, unlike c…
Deep Neural Network Symbol Detection for Millimeter Wave Communications
Yun Liao, Nariman Farsad, Nir Shlezinger +2
This paper proposes to use a deep neural network (DNN)-based symbol detector for mmWave systems such that CSI acquisition can be bypassed. In particular, we consider a sliding bidi…
Low Noise Non-Linear Equalization Using Neural Networks and Belief Propagation
Etsushi Yamazaki, Nariman Farsad, Andrea Goldsmith
Nonlinearities can be introduced into communication systems by the physical components such as the power amplifier, or during signal propagation through a nonlinear channel. These…
Virtual Cell Clustering with Optimal Resource Allocation to Maximize Cellular System Capacity
Michal Yemini, Andrea J. Goldsmith
This work presents a new network optimization framework for cellular networks using neighborhood-based optimization. Under this optimization framework resources are allocated withi…
Optimal Resource Allocation for Cellular Networks with Virtual Cell Joint Decoding
Michal Yemini, Andrea J. Goldsmith
This work presents a new resource allocation optimization framework for cellular networks using neighborhood-based optimization. Under this optimization framework resources are all…
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar +1
Symbol detection plays an important role in the implementation of digital receivers. In this work, we propose ViterbiNet, which is a data-driven symbol detector that does not requi…
Rethinking Modulation and Detection for High Doppler Channels
Thomas Dean, Mainak Chowdhury, Nicole Grimwood +1
We present two modulation and detection techniques that are designed to allow for efficient equalization for channels that exhibit an arbitrary Doppler spread but no delay spread.…
Two-Way Molecular Communications
Jong Woo Kwak, H. Birkan Yilmaz, Nariman Farsad +2
For nano-scale communications, there must be cooperation and simultaneous communication between nano devices. To this end, in this paper we investigate two-way (a.k.a. bi-direction…
Diffusive Molecular Communications with Reactive Molecules: Channel Modeling and Signal Design
Vahid Jamali, Nariman Farsad, Robert Schober +1
This paper focuses on molecular communication (MC) systems using two types of signaling molecules which may participate in a reversible bimolecular reaction in the channel. The mot…
"Fog" Optimization via Virtual Cells in Cellular Network Resource Allocation
Michal Yemini, Andrea J. Goldsmith
This work proposes a new resource allocation optimization framework for cellular networks using "fog" or neighborhood-based optimization rather than fully centralized or fully dece…