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Resource allocation and block coding within a three-stage collaborative broadband relay network

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conference contribution
posted on 2009-09-29, 15:23 authored by Shakiru K. Kassim, Nasr E.M. Eltayeb, Jonathon Chambers
In this work we propose a power control algorithm for a multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) multi-hop collaborative relaying network. Using orthogonal and quasi-orthogonal block codes with three stage processing our algorithm optimally distributes available transmission power based on the architecture and the channel condition at each stage so as to minimize the end-to-end bit error rate (HER) of the entire relay network. For high data rate applications with maximum throughput (as expected for future OFDM systems), we employ a regenerative relaying process, where the relays at each stage decode and through collaborative processing, re-encode the received data before onward transmission to the next stage and then to the destination. We provide simulation results 1 that confirm the performance improvement in the end-to-end bit error rate (HER) of the network using our explicit power allocation algorithm as compared with equal power distribution technique.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

KASSIM, S.K., ELTAYEB, N.M. and CHAMBERS, J.A., 2009. Resource allocation and block coding within a three-stage collaborative broadband relay network. IN: IEEE Sarnoff Symposium, Princeton, NJ, March 30 -April 1, pp. 1-5.

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

2009

Notes

This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISBN

9781424433810

Language

  • en

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