Founding offer · lifetime membership for a single £24, exclusive to our first members · closes 20 June Claim your place →
Global Research Partnerships £24 Lifetime Log inCreate free account

Funded Projects › FP7

CODING FOR NETWORKS · Coding for Multi-User Channels for Next Generation Wireless Networks

FP7Status: CLOSED1 April 201331 March 2017EU funding €100,000

An important component of future information technology applications for various purposes is wireless networking. Addressing interference interference in an optimal manner if of utmost importance to design, implement and deploy reliable wireless networks. In current systems, interference is usually avoided by utilizing suitable networking protocols or it is controlled to be below an acceptable level. On the other hand, neither of these two approaches are optimal, and a different way to solve the problem of handling the interference is needed. The proposed research aims to develop explicit coding and modulation schemes to provide a reliable and efficient physical layer for future wireless networks. In particular, coding for the wireless interference channel and the two-way relay channel as building blocks of efficient wireless networks are of interest. The proposed work will 1) develop efficient coding and modulation schemes for the Gaussian interference channel as well as fading interference channels; 2) jointly design channel codes and for two-way relay channels and consider multi-input multi-output (MIMO) as well as fading channel extensions; 3) develop near optimal short block length codes for the interference and two-way relay channels. The proposed work will be of high impact as it is expected to be an integral component of the physical layer needed in order to build future wireless networks with high transmission rate and reliability requirements.

Consortium · 1 organisation

coordinator

BILKENT UNIVERSITESI VAKIF

TR · €100,000

View the official record on CORDIS →

← Find collaborators and more funded projects

Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.