More Web Proxy on the site http://driver.im/

research-article

Free access

An IEEE 802.11a/g/p OFDM receiver for GNU radio

Authors:

Bastian Bloessl,

Michele Segata,

Christoph Sommer,

Falko DresslerAuthors Info & Claims

SRIF '13: Proceedings of the second workshop on Software radio implementation forum

Pages 9 - 16

https://doi.org/10.1145/2491246.2491248

Published: 12 August 2013 Publication History

Abstract

Experimental research on wireless communication protocols frequently requires full access to all protocol layers, down to and including the physical layer. Software Defined Radio (SDR) hardware platforms, together with real-time signal processing frameworks, offer a basis to implement transceivers that can allow such experimentation and sophisticated measurements. We present a complete Orthogonal Frequency Division Multiplexing (OFDM) receiver implemented in GNU Radio and fitted for operation with an Ettus USRP N210. To the best of our knowledge, this is the first prototype of a GNU Radio based OFDM receiver for this technology. Our receiver comprises all layers up to parsing the MAC header and extracting the payload of IEEE 802.11a/g/p networks. It supports both WiFi with a bandwidth of 20 MHz and IEEE 802.11p DSRC with a bandwidth of 10 MHz. We validated and verified our implementation by means of interoperability tests, and present representative performance measurements. By making the code available as Open Source we provide an easy-to-access system that can be readily used for experimenting with novel signal processing algorithms.

References

[1]

Wireless Access in Vehicular Environments. Std 802.11p-2010, IEEE, July 2010.

[2]

Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. Std 802.11--2012, IEEE, 2012.

[3]

L. Chia-Horng. On the design of OFDM signal detection algorithms for hardware implementation. In IEEE GLOBECOM 2003, pages 596--599, San Francisco, CA, December 2003. IEEE.

[4]

D. Eckhoff, C. Sommer, and F. Dressler. On the Necessity of Accurate IEEE 802.11p Models for IVC Protocol Simulation. In IEEE VTC2012-Spring, pages 1--5, Yokohama, Japan, May 2012. IEEE.

[5]

P. Fuxj\"ager, A. Costantini, D. Valerio, P. Castiglione, G. Zacheo, T. Zemen, and F. Ricciato. IEEE 802.11p Transmission Using GNURadio. In 6th Karlsruhe Workshop on Software Radios (WSR), pages 1--4, Karlsruhe, Germany, March 2010.

[6]

T. Hrycak, S. Das, G. Matz, and H. G. Feichtinger. Practical Estimation of Rapidly Varying Channels for OFDM Systems. IEEE Transactions on Communications, 59(11):3040--3048, November 2011.

[7]

A. Khattab, J. Camp, C. Hunter, P. Murphy, A. Sabharwal, and E. W. Knightly. WARP: A Flexible Platform for Clean-Slate Wireless Medium Access Protocol Design. ACM SIGMOBILE Mobile Computing and Communications Review, 12(1):56--58, January 2008.

Digital Library

[8]

D.-W. Lim, S.-J. Heo, and J.-S. No. An Overview of Peak-to-Average Power Ratio Reduction Schemes for OFDM Signals. Journal of Communications and Networks, 11(3):229--239, June 2009.

[9]

M. Morelli and U. Mengali. A Comparison of Pilot-Aided Channel Estimation Methods for OFDM Systems. IEEE Transactions on Signal Processing, 49(12):3065--3073, December 2001.

Digital Library

[10]

T. Rondeau, N. McCarthy, and T. O'Shea. SIMD Programming in GNU Radio: Maintainable und User-Friendly Algorithm Optimization with VOLK. In SDR 2012, Brussels, Belgium, June 2012. Wireless Innovation Forum Europe.

[11]

T. Schmidl and D. Cox. Robust frequency and timing synchronization for OFDM. IEEE Transactions on Communications, 45(12):1613--1621, 1997.

[12]

C. Sommer, D. Eckhoff, R. German, and F. Dressler. A Computationally Inexpensive Empirical Model of IEEE 802.11p Radio Shadowing in Urban Environments. In IEEE/IFIP WONS 2011, pages 84--90, Bardonecchia, Italy, January 2011. IEEE.

[13]

E. Sourour, H. El-Ghoroury, and D. McNeill. Frequency Offset Estimation and Correction in the IEEE 802.11a WLAN. In IEEE VTC2004-Fall, pages 4923--4927, Los Angeles, CA, September 2004. IEEE.

[14]

J.-J. van de Beek, M. Sandell, and P. O. Borjesson. ML estimation of time and frequency offset in OFDM systems. IEEE Transactions on Signal Processing, 45(7):1800--1805, 1997.

Digital Library

[15]

A. van Zelst and T. C. W. Schenk. Implementation of a MIMO OFDM-based wireless LAN system. IEEE Transactions on Signal Processing, 52(2):483--494, Feburary 2004.

Digital Library

Cited By

Wang WNiyato DXiong ZYin Z(2025)Detection and Authentication for Cross-Technology CommunicationIEEE Transactions on Vehicular Technology10.1109/TVT.2024.346710974:2(3157-3171)Online publication date: Feb-2025
https://doi.org/10.1109/TVT.2024.3467109
Haque KZhang MMeneghello FRestuccia F(2025)BeamSense: Rethinking Wireless Sensing with MU-MIMO Wi-Fi Beamforming FeedbackComputer Networks10.1016/j.comnet.2024.111020258(111020)Online publication date: Feb-2025
https://doi.org/10.1016/j.comnet.2024.111020
Levin AFlores Portillo EGarikapati SBechhofer AZhang BKohli MKadota IKrishnaswamy HSeok MZussman GGanesan DLane NShi W(2024)Demo: Achieving Self-Interference Cancellation Across Different EnvironmentsProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698852(1763-1765)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698852
Show More Cited By

Index Terms

An IEEE 802.11a/g/p OFDM receiver for GNU radio
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

Recommendations

Decoding IEEE 802.11a/g/p OFDM in software using GNU radio
MobiCom '13: Proceedings of the 19th annual international conference on Mobile computing & networking

We just released an Open Source receiver that is able to decode IEEE 802.11a/g/p Orthogonal Frequency Division Multiplexing (OFDM) frames in software. This is the first Software Defined Radio (SDR) based OFDM receiver supporting channel bandwidths up to ...
Accelerating an IEEE 802.11 a/g/p Transceiver in GNU Radio
LANC '16: Proceedings of the 9th Latin America Networking Conference

Software Defined Radio (SDR) is an approach where signal processing components of a radio transceiver are moved from the dedicated hardware to a combination of software and general purpose processors. This change offers many advantages, mainly for ...
Performance Improvement Techniques for OFDM system using Software Defined Radio

Improved spectral and energy efficiency are two key requirements for the next generation (5G) wireless communication systems. The inefficiency and non-linearity of traditional power amplifiers (PA) pose significant challenges to meet these requirements, ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

SRIF '13: Proceedings of the second workshop on Software radio implementation forum

August 2013

92 pages

ISBN:9781450321815

DOI:10.1145/2491246

General Chair:
Soung Chang Liew
The Chinese University of Hong Kong, Hong Kong

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGCOMM: ACM Special Interest Group on Data Communication

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 August 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SIGCOMM'13

Sponsor:

SIGCOMM

SIGCOMM'13: ACM SIGCOMM 2013 Conference

August 12, 2013

Hong Kong, China

Acceptance Rates

SRIF '13 Paper Acceptance Rate 13 of 23 submissions, 57%;

Overall Acceptance Rate 23 of 41 submissions, 56%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

148
Total Citations
View Citations
8,624
Total Downloads

Downloads (Last 12 months)1,979
Downloads (Last 6 weeks)179

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Wang WNiyato DXiong ZYin Z(2025)Detection and Authentication for Cross-Technology CommunicationIEEE Transactions on Vehicular Technology10.1109/TVT.2024.346710974:2(3157-3171)Online publication date: Feb-2025
https://doi.org/10.1109/TVT.2024.3467109
Haque KZhang MMeneghello FRestuccia F(2025)BeamSense: Rethinking Wireless Sensing with MU-MIMO Wi-Fi Beamforming FeedbackComputer Networks10.1016/j.comnet.2024.111020258(111020)Online publication date: Feb-2025
https://doi.org/10.1016/j.comnet.2024.111020
Levin AFlores Portillo EGarikapati SBechhofer AZhang BKohli MKadota IKrishnaswamy HSeok MZussman GGanesan DLane NShi W(2024)Demo: Achieving Self-Interference Cancellation Across Different EnvironmentsProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698852(1763-1765)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698852
Gao ZZhang YChen TGanesan DLane NShi W(2024)DeepMon: Wi-Fi Monitoring Using Sub-Nyquist Sampling Rate Receivers with Deep LearningProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698250(2401-2406)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698250
Wang QZhao JGong W(2024)PilotScatter: High-Throughput OFDM Backscatter via Pilot TonesIEEE Transactions on Wireless Communications10.1109/TWC.2024.343933923:11(16248-16260)Online publication date: Nov-2024
https://doi.org/10.1109/TWC.2024.3439339
Gao DOu LLiu YYang QWang H(2024)DeepSpoof: Deep Reinforcement Learning-Based Spoofing Attack in Cross-Technology Multimedia CommunicationIEEE Transactions on Multimedia10.1109/TMM.2024.341466026(10879-10891)Online publication date: 2024
https://doi.org/10.1109/TMM.2024.3414660
Tulay HEmre Koksal C(2024)Sybil Attack Detection Based on Signal Clustering in Vehicular NetworksIEEE Transactions on Machine Learning in Communications and Networking10.1109/TMLCN.2024.34102082(753-765)Online publication date: 2024
https://doi.org/10.1109/TMLCN.2024.3410208
Pratama DMoon JAri Laksmono AYun DIqbal MJeong BJi JKim H(2024)Behind The Wings: The Case of Reverse Engineering and Drone Hijacking in DJI Enhanced Wi-Fi Protocol2024 International Conference on Platform Technology and Service (PlatCon)10.1109/PlatCon63925.2024.10830741(127-132)Online publication date: 26-Aug-2024
https://doi.org/10.1109/PlatCon63925.2024.10830741
Kudyba PSun H(2024)Wireless FEC-less Frame Transmission for Model Aggregation of Distributed Learning SystemsIEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFOCOMWKSHPS61880.2024.10620825(1-2)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOMWKSHPS61880.2024.10620825
Du CYu JZhang RAn J(2024)ConcurScatter: Scalable Concurrent OFDM Backscatter Using Subcarrier Pattern DiversityIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621252(1771-1780)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOM52122.2024.10621252
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Figures

Tables

Media

View Table of Conten