A Parallel-Pipelined OFDM Baseband Modulator with Dynamic Frequency Scaling for 5G Systems

5G heterogeneity will cover a huge diversity of use cases, ranging from enhanced-broadband to low-throughput and low-power communications. To address such requirements variety, this paper proposes a parallel-pipelined architecture for an OFDM baseband modulator with clock frequency run-time adaptati...

Full description

Saved in:
Bibliographic Details
Published inApplied Reconfigurable Computing. Architectures, Tools, and Applications Vol. 10824; pp. 511 - 522
Main Authors Ferreira, Mário Lopes, Ferreira, João Canas, Huebner, Michael
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Online AccessGet full text
ISBN3319788892
9783319788890
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-78890-6_41

Cover

More Information
Summary:5G heterogeneity will cover a huge diversity of use cases, ranging from enhanced-broadband to low-throughput and low-power communications. To address such requirements variety, this paper proposes a parallel-pipelined architecture for an OFDM baseband modulator with clock frequency run-time adaptation through dynamic frequency scaling (DFS). It supports a set of OFDM numerologies recently proposed for 5G communication systems. The parallel-pipelined architecture can achieve high throughputs at low clock frequencies (up to 520.3 MSamples/s at 160 MHz) and DFS allows for the adjustment of baseband processing clock frequency according to immediate throughput demands. The application of DFS increases the system’s power efficiency by allowing power savings up to 62.5%; the resource and latency overhead is negligible.
Bibliography:This work is financed by the ERDF - European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project POCI-01-0145-FEDER-006961, by National Funds through the FCT - Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology), through the Ph.D. Grant PD/BD/105860/2014 and the Supplementary Training Grant CRM:0067654.
ISBN:3319788892
9783319788890
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-78890-6_41