output
19962026
most citedSemi-Supervised Learning with Ladder Networks

582 citations

Showing 2017 · cs.ITShow all

6 papers · 2 filters

cs.IT2017★ 4 cited

Quantized Precoding for Multi-Antenna Downlink Channels with MAGIQ

Andrei Nedelcu, Fabian Steiner, Markus Staudacher +5

A multi-antenna, greedy, iterative, and quantized (MAGIQ) precoding algorithm is proposed for downlink channels. MAGIQ allows a straightforward integration with orthogonal frequenc…

cs.IT2017

Green Base Station Placement for Microwave Backhaul Links

Alonso Silva, Antonia Masucci

Wireless mobile backhaul networks have been proposed as a substitute in cases in which wired alternatives are not available due to economical or geographical reasons. In this work,…

cs.IT2017★ 75 cited

Efficient Fast-Convolution-Based Waveform Processing for 5G Physical Layer

Juha Yli-Kaakinen, Toni Levanen, Sami Valkonen +4

This paper investigates the application of fast-convolution (FC) filtering schemes for flexible and effective waveform generation and processing in the fifth generation (5G) system…

cs.IT2017★ 14 cited

5G Radio Access above 6 GHz

Mehrdad Shariat, David M. Gutierrez-Estevez, Arnesh Vijay +8

Designing and developing a millimetre-wave(mmWave) based mobile Radio Access Technology (RAT) in the 6-100 GHz frequency range is a fundamental component in the standardization of…

cs.IT2017

An Examination of the Benefits of Scalable TTI for Heterogeneous Traffic Management in 5G Networks

Emmanouil Fountoulakis, Nikolaos Pappas, Qi Liao +2

The rapid growth in the number and variety of connected devices requires 5G wireless systems to cope with a very heterogeneous traffic mix. As a consequence, the use of a fixed TTI…

cs.IT2017

Non-Uniformly Coupled LDPC Codes: Better Thresholds, Smaller Rate-loss, and Less Complexity

Laurent Schmalen, Vahid Aref, Fanny Jardel

We consider spatially coupled low-density parity-check codes with finite smoothing parameters. A finite smoothing parameter is important for designing practical codes that are deco…