Non-Uniform Spatial Coupling for Windowed Decoding of Spatially Coupled LDPC Codes

  • Aref V.
  • Jardel F.
  • Schmalen L.

In this paper, we consider spatially coupled LDPC codes with finite coupling width. Finite coupling width is important for realizing practical codes that are decoded using, e.g., windowed decoders. We show that by carefully optimizing the amount of coupling in each SP, we can construct codes with excellent thresholds even with the lowest possible coupling factor. We also show that the decoding speed of the wave is faster when using non-uniformly coupled codes. We verify this by carrying out density evolution taking into account windowed decoding and a finite number of iterations. We show that by only slightly increasing the coupling width, excellent codes with close-to-capacity performance can be constructed that lend themselves to practical utilization. Finally, we give some indications on protograph design.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
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How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...