Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. An Evolved GSM/EDGE Baseband ASIC Supporting Rx Diversity
 
research article

An Evolved GSM/EDGE Baseband ASIC Supporting Rx Diversity

Kroell, Harald
•
Zwicky, Stefan
•
Weber, Benjamin
Show more
2015
Ieee Journal Of Solid-State Circuits

In this paper, a baseband ASIC which supports receive diversity and soft-output Viterbi equalization for enhanced 2G networks is presented. It includes a transmitter and receiver with a symbol detector and a decoder with a dedicated incremental redundancy implementation, as well as the necessary control capability to autonomously communicate with the RF-IC. The ASIC is connected to an RF-IC to build a complete Evolved EDGE transceiver system. The transceiver system reaches a measured sensitivity close to -112 dBm for single-antenna GSM voice channels and achieves the reference interference performance for adjacent channels 11.4 dB above 3GPP requirements. It is the first reported solution which fulfills the most demanding 3GPP Downlink Advanced Receive Performance Phase 2 testcases specified for Rx-diversity. The ASIC occupies 6 mm(2) in 130 nm CMOS with a power consumption between 3.9 and 14 mW.

  • Details
  • Metrics
Type
research article
DOI
10.1109/Jssc.2015.2417802
Web of Science ID

WOS:000356934800017

Author(s)
Kroell, Harald
•
Zwicky, Stefan
•
Weber, Benjamin
•
Roth, Christoph
•
Tschopp, David
•
Benkeser, Christian
•
Burg, Andreas  
•
Huang, Qiuting
Date Issued

2015

Publisher

Ieee-Inst Electrical Electronics Engineers Inc

Published in
Ieee Journal Of Solid-State Circuits
Volume

50

Issue

7

Start page

1690

End page

1701

Subjects

Baseband ASIC

•

enhanced 2G networks

•

evolved EDGE (E-EDGE)

•

evolved EDGE testbed

•

GSM/EDGE

•

hybrid ARQ

•

incremental redundancy

•

interference cancellation

•

internet of things (IoT)

•

machine-to-machine (M2M)

•

Rx diversity

•

space-time processing

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
TCL  
Available on Infoscience
September 28, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/119012
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés