Showing 2022 · cs.ITShow all

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cs.IT2022★ 48 cited

End-to-End Learning for VCSEL-based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities

Muralikrishnan Srinivasan, Jinxiang Song, Alexander Grabowski +8

Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the main workhorse within data centers, supercomputers, and even vehicles, providing low-c…

cs.IT2022★ 9 cited

Multistatic Sensing of Passive Targets Using 6G Cellular Infrastructure

Vijaya Yajnanarayana, Henk Wymeersch

Sensing using cellular infrastructure may be one of the defining feature of sixth generation (6G) wireless systems. Wideband 6G communication channels operating at higher frequency…

cs.IT2022★ 14 cited

Efficient evaluation of the error probability for pilot-assisted URLLC with Massive MIMO

A. Oguz Kislal, Alejandro Lancho, Giuseppe Durisi +1

We propose a numerically efficient method for evaluating the random-coding union bound with parameter on the error probability achievable in the finite-blocklength regime by a…

cs.IT2022

Exact calculation of quantizer constants for arbitrary lattices

Daniel Pook-Kolb, Bruce Allen, Erik Agrell

We present an algorithm for the exact computer-aided construction of the Voronoi cells of lattices with known symmetry group. Our algorithm scales better than linearly with the tot…

cs.IT2022★ 21 cited

Integrated Access and Backhaul in Cell-free Massive MIMO Systems

Ali Hosseinalipour Jazi, S. Mohammad Razavizadeh, Tommy Svensson

One of the major challenges with cell-free (CF) massive multiple-input multiple-output (MIMO) networks is providing backhaul links for a large number of distributed access points (…

cs.IT2022★ 52 cited

Cell-Free Massive MIMO for URLLC: A Finite-Blocklength Analysis

Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti

We present a general framework for the characterization of the packet error probability achievable in cell-free Massive multiple-input multiple output (MIMO) architectures deployed…

cs.IT2022★ 7 cited

Data-Driven Estimation of Capacity Upper Bounds

Christian Häger, Erik Agrell

We consider the problem of estimating an upper bound on the capacity of a memoryless channel with unknown channel law and continuous output alphabet. A novel data-driven algorithm…

cs.IT2022★ 17 cited

On the best lattice quantizers

Erik Agrell, Bruce Allen

A lattice quantizer approximates an arbitrary real-valued source vector with a vector taken from a specific discrete lattice. The quantization error is the difference between the s…