Physical Layer Multi-Core Prototyping

A Dataflow-Based Approach for LTE eNodeB

  • Maxime Pelcat
  • Slaheddine Aridhi
  • Jonathan Piat
  • Jean-François Nezan

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 171)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan
    Pages 1-7
  3. Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan
    Pages 9-51
  4. Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan
    Pages 53-75
  5. Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan
    Pages 77-102
  6. Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan
    Pages 103-121
  7. Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan
    Pages 123-152
  8. Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan
    Pages 153-171
  9. Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan
    Pages 173-196
  10. Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan
    Pages 197-198
  11. Back Matter
    Pages 199-209

About this book

Introduction

Base stations developed according to the 3GPP Long Term Evolution (LTE) standard require unprecedented processing power. 3GPP LTE enables data rates beyond hundreds of Mbits/s by using advanced technologies, necessitating a highly complex LTE physical layer. The operating power of base stations is a significant cost for operators, and is currently optimized using state-of-the-art hardware solutions, such as heterogeneous distributed systems. The traditional system design method of porting algorithms to heterogeneous distributed systems based on test-and-refine methods is a manual, thus time-expensive, task.

 

Physical Layer Multi-Core Prototyping: A Dataflow-Based Approach for LTE eNodeB provides a clear introduction to the 3GPP LTE physical layer and to dataflow-based prototyping and programming. The difficulties in the process of 3GPP LTE physical layer porting are outlined, with particular focus on automatic partitioning and scheduling, load balancing and computation latency reduction, specifically in systems based on heterogeneous multi-core Digital Signal Processors. Multi-core prototyping methods based on algorithm dataflow modeling and architecture system-level modeling are assessed with the goal of automating and optimizing algorithm porting.

 

With its analysis of physical layer processing and proposals of parallel programming methods, which include automatic partitioning and scheduling, Physical Layer Multi-Core Prototyping: A Dataflow-Based Approach for LTE eNodeB is a key resource for researchers and students. This study of LTE algorithms which require dynamic or static assignment and dynamic or static scheduling, allows readers to reassess and expand their knowledge of this vital component of LTE base station design.

Keywords

(PREESM) Advanced Software Tool Development Long-Term Evolution (LTE) Multi-Core Programming Parallel and Real-time Embedded Executive Scheduling Method Rapid Prototyping Methods Signal Processing Systems System-Level Architecture Model (S-LAM) Telecommunications Development Wireless Communication System Design

Authors and affiliations

  • Maxime Pelcat
    • 1
  • Slaheddine Aridhi
    • 2
  • Jonathan Piat
    • 3
  • Jean-François Nezan
    • 4
  1. 1.INSA RennesRennesFrance
  2. 2.Texas InstrumentsVilleneuve-LoubetFrance
  3. 3.LAA/CNRSToulouseFrance
  4. 4.INSA RennesRennes cedex 7France

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4210-2
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-4209-6
  • Online ISBN 978-1-4471-4210-2
  • Series Print ISSN 1876-1100
  • Series Online ISSN 1876-1119
  • About this book