Secure Communications with Superimposed Pilots

  • Chen Y.

In this paper, we propose a system concept enabling secure communications by introducing superimposed pilots. The superimposed pilots can be exploited in a trellis-based joint channel tracker and data detector by the user of interest. Further, the user of interest can adjust the power ratio between the user data and superimposed pilot, which yields the secure capacity region. It allows the user of interest to appropriately select the Forward Error Correction (FEC) code rate, so that the eavesdropper will not be able to decode the corresponding data any more. In this paper, we present the achievable secure capacity region for not only Single-Input Single-Output (SISO) system, but also Multiple-Input Single-Output (MISO) with Space-Time Coding (STC), and Multiple-Input Multiple-Output (MIMO) with Spatial Multiplexing (SMX) via Monte Carlo simulation.

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
  • Pramod Bhatotia
  • Thorsten Strufe

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 ...