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19922026
Showing 2018 · cs.ITShow all

23 papers · 2 filters

cs.IT2018★ 6 cited

How to Increase the Achievable Information Rate by Per-Channel Dispersion Compensation

Kamran Keykhosravi, Marco Secondini, Giuseppe Durisi +1

Deploying periodic inline chromatic dispersion compensation enables reducing the complexity of the digital back propagation (DBP) algorithm. However, compared with nondispersion-ma…

cs.IT2018★ 2 cited

Efficient Error-Correcting Codes in the Short Blocklength Regime

Mustafa Cemil Coşkun, Giuseppe Durisi, Thomas Jerkovits +4

The design of block codes for short information blocks (e.g., a thousand or less information bits) is an open research problem that is gaining relevance thanks to emerging applicat…

cs.IT2018★ 42 cited

Nonlinearity Mitigation in WDM Systems: Models, Strategies, and Achievable Rates

Marco Secondini, Erik Agrell, Enrico Forestieri +2

After reviewing models and mitigation strategies for interchannel nonlinear interference (NLI), we focus on the frequency-resolved logarithmic perturbation model to study the coher…

cs.IT2018★ 8 cited

On the Throughput of Large-but-Finite MIMO Networks using Schedulers

Behrooz Makki, Tommy Svensson, Mohamed-Slim Alouini

This paper studies the sum throughput of the {multi-user} multiple-input-single-output (MISO) networks in the cases with large but finite number of transmit antennas and users. Con…

cs.IT2018★ 95 cited

Fast HARQ over Finite Blocklength Codes: A Technique for Low-Latency Reliable Communication

Behrooz Makki, Tommy Svensson, Giuseppe Caire +1

This paper studies the performance of delay-constrained hybrid automatic repeat request HARQ protocols. Particularly, we propose a fast HARQ protocol where, to increase the end-to-…

cs.IT2018

Energy-Efficient Soft-Assisted Product Decoders

Christoffer Fougstedt, Alireza Sheikh, Alexandre Graell i Amat +2

We implement a 1-Tb/s 0.63-pJ/bit soft-assisted product decoder in a 28-nm technology. The decoder uses one bit of soft information to improve its net coding gain by 0.2 dB, reachi…

cs.IT2018★ 2 cited

A Droplet Approach Based on Raptor Codes for Distributed Computing With Straggling Servers

Albin Severinson, Alexandre Graell i Amat, Eirik Rosnes +2

We propose a coded distributed computing scheme based on Raptor codes to address the straggler problem. In particular, we consider a scheme where each server computes intermediate…

cs.IT2018★ 2 cited

Low-Latency Short-Packet Transmissions: Fixed Length or HARQ?

Johan Östman, Rahul Devassy, Guido C. Ferrante +1

We study short-packet communications, subject to latency and reliability constraints, under the premises of limited frequency diversity and no time diversity. The question addresse…

cs.IT2018★ 30 cited

Tracking Position and Orientation through Millimeter Wave Lens MIMO in 5G Systems

Arash Shahmansoori, Bernard Uguen, Giuseppe Destino +2

Millimeter wave signals and large antenna arrays are considered enabling technologies for future 5G networks. Despite their benefits for achieving high data rate communications, th…

cs.IT2018★ 2 cited

Private Information Retrieval From a Cellular Network With Caching at the Edge

Siddhartha Kumar, Alexandre Graell i Amat, Eirik Rosnes +1

We consider the problem of downloading content from a cellular network where content is cached at the wireless edge while achieving privacy. In particular, we consider private info…

cs.IT2018★ 6 cited

On the Fundamental Limit of Private Information Retrieval for Coded Distributed Storage

Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes +1

We consider private information retrieval (PIR) for distributed storage systems (DSSs) with noncolluding nodes where data is stored using a non maximum distance separable (MDS) lin…

cs.IT2018

Stochastic Geometry Modeling and Analysis of Finite Millimeter Wave Wireless Networks

Seyed Mohammad Azimi-Abarghouyi, Behrooz Makki, Masoumeh Nasiri-Kenari +1

This paper develops a stochastic geometry-based approach for the modeling and analysis of finite millimeter wave (mmWave) wireless networks where a random number of transmitters an…

cs.IT2018

On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems

Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva +2

We study low-complexity iterative decoding algorithms for product codes. We revisit two algorithms recently proposed by the authors based on bounded distance decoding (BDD) of the…

cs.IT2018

ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters

Christoffer Fougstedt, Christian Häger, Lars Svensson +2

We consider time-domain digital backpropagation with chromatic dispersion filters jointly optimized and quantized using machine-learning techniques. Compared to the baseline implem…

cs.IT2018★ 7 cited

Delay and Peak-Age Violation Probability in Short-Packet Transmissions

Rahul Devassy, Giuseppe Durisi, Guido Carlo Ferrante +2

This paper investigates the distribution of delay and peak age of information in a communication system where packets, generated according to an independent and identically distrib…

cs.IT2018★ 1 cited

Reliable Transmission of Short Packets through Queues and Noisy Channels under Latency and Peak-Age Violation Guarantees

Rahul Devassy, Giuseppe Durisi, Guido Carlo Ferrante +2

This work investigates the probability that the delay and the peak-age of information exceed a desired threshold in a point-to-point communication system with short information pac…

cs.IT2018★ 3 cited

Iterative Bounded Distance Decoding of Product Codes with Scaled Reliability

Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva

We propose a modified iterative bounded distance decoding of product codes. The proposed algorithm is based on exchanging hard messages iteratively and exploiting channel reliabili…

cs.IT2018★ 6 cited

Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning

Shen Li, Christian Häger, Nil Garcia +1

Machine learning is used to compute achievable information rates (AIRs) for a simplified fiber channel. The approach jointly optimizes the input distribution (constellation shaping…

cs.IT2018★ 11 cited

Iterative Detection and Phase-Noise Compensation for Coded Multichannel Optical Transmission

Arni F. Alfredsson, Erik Agrell, Henk Wymeersch

The problem of phase-noise compensation for correlated phase noise in coded multichannel optical transmission is investigated. To that end, a simple multichannel phase-noise model…

cs.IT2018

Massive Multiple Input Massive Multiple Output for 5G Wireless Backhauling

Dinh-Thuy Phan-Huy, Philippe Ratajczak, Raffaele D'Errico +10

In this paper, we propose a new technique for the future fifth generation cellular network wireless backhauling. We show that hundreds of bits per second per Hertz (bits per second…

cs.IT2018★ 18 cited

Improving the Decoding Threshold of Tailbiting Spatially Coupled LDPC Codes by Energy Shaping

Thomas Jerkovits, Gianluigi Liva, Alexandre Graell i Amat

We show how the iterative decoding threshold of tailbiting spatially coupled (SC) low-density parity-check (LDPC) code ensembles can be improved over the binary input additive whit…

cs.IT2018

Code Constructions for Distributed Storage With Low Repair Bandwidth and Low Repair Complexity

Siddhartha Kumar, Alexandre Graell i Amat, Iryna Andriyanova +2

We present the construction of a family of erasure correcting codes for distributed storage that achieve low repair bandwidth and complexity at the expense of a lower fault toleran…

cs.IT2018

An MDS-PIR Capacity-Achieving Protocol for Distributed Storage Using Non-MDS Linear Codes

Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes +1

We propose a private information retrieval (PIR) protocol for distributed storage systems with noncolluding nodes where data is stored using an arbitrary linear code. An expression…