SECURE WIRELESS NONLINEAR COMMUNICATIONS AT THE PHYSICAL LAYER

Abstract: 

Next generation communications systems place stringent requirements on reliability, power consumption, spectral efficiency, and security. Addressing these issues simultaneously, requires the development of novel methods and algorithms that successfully cope with the nonlinear characteristics of wireless communications channels.

The proposed research aims to contribute to the above research areas, with the development of novel nonlinear tools and algorithms that will provide a unified and cohesive view in the analysis and design of wireless communication systems. The primary objective is to consider in a combined manner channel coding, encryption, modulation and channel estimation.

The proposed research is organized in 6 work packages:

  1. project management, quality assurance and assessment;
  2. nonlinear representation of sources and channels;
  3. estimation and equalization of nonlinear channels;
  4. capacity and (de)coding of nonlinear channels;
  5. secure (de)coding of nonlinear channels; and
  6. dissemination of project research results.

Expected results of the proposed research include:

  1. Source compression algorithms through the use of parsimonious nonlinear models.
  2. Adaptive and batch algorithms for nonlinear channel estimation and equalization with emphasis on: compressed sensing techniques, machine learning, efficient turbo equalization methods, and optimal training sequence design.
  3. Error probability bounds for specific code families on nonlinear wireless channels, design of optimal LDPC codes for cooperative protocols, appropriate coding schemes for the nonlinear wireless channel, and fast greedy decoding algorithms inspired from compressed sensing techniques.
  4. Cryptographic schemes leading to constructions able to thwart advanced cryptanalytic attacks, practical channel coding schemes that approach the secrecy capacity and designs of cryptographic error-correcting codes of low-computational complexity, and enhanced security.

Project info

Acronym:
SWINCOM
Scientific Coordinator:
Kalouptsidis Nicholas
Research Team 2 Leader:
Liavas Athanasios
Research Team 3 Leader:
Kolokotronis Nicholas

Stats

I.D.:
535
Mis:
380202
Duration (months):
44
Diavgeia:
ΑΔΑ: Β41Ρ9-ΜΘ6

Document Library

News