Browse > Article
http://dx.doi.org/10.3837/tiis.2018.01.009

FER Performance Evaluation and Enhancement of IEEE 802.11 a/g/p WLAN over Multipath Fading Channels in GNU Radio and USRP N200 Environment  

Alam, Muhammad Morshed (Department of Electrical and Electronic Engineering, Islamic University of Technology)
Islam, Mohammad Rakibul (Department of Electrical and Electronic Engineering, Islamic University of Technology)
Arafat, Muhammad Yeasir (Department of Electrical and Electronic Engineering, Independent University)
Ahmed, Feroz (Department of Electrical and Electronic Engineering, Independent University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.12, no.1, 2018 , pp. 178-203 More about this Journal
Abstract
In this paper, authors have been evaluated the Frame Error Rate (FER) performance of IEEE 802.11 a/g/p standard 5 GHz frequency band WLAN over Rayleigh and Rician distributed fading channels in presence of Additive White Gaussian Noise (AWGN). Orthogonal Frequency Division Multiplexing (OFDM) based transceiver is implemented by using real-time signal processing frameworks (IEEE 802.11 Blocks) in GNU Radio Companion (GRC) and Ettus USRP N200 is used to process the symbol over the wireless radio channel. The FER is calculated for each sub-carrier conventional modulation schemes used by OFDM such as BPSK, QPSK, 16, 64-QAM with different punctuated coding rates. More precise SNR is computed by modifying the SNR calculation process of YANS and NIST error rate model to estimate more accurate FER. Here, real-time signal constellations, OFDM signal spectrums etc. are also observed to find the effect of multipath propagation of signals through flat and frequency selective fading channels. To reduce the error rate due to the multipath fading effect and Doppler shifting, channel estimation (CE) and equalization techniques such as Least Square (LS) and training based adaptive Least Mean Square (LMS) algorithm are applied in the receiver. The simulation work is practically verified at GRC by turning into a pair of Software Define Radio (SDR) as a simultaneous transceiver.
Keywords
GNU Radio; USRP N200; OFDM; AWGN; Rayleigh and Rician Fading Channel; FER; LS; LMS;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Aida Zaier and Ridha Bouallegue, "A Full Performance Analysis of Channel Estimation Methods for Time Varying OFDM Systems," International Journal of Mobile Network Communication & Telematics, Vol.1, No.2, Dec. 2011.
2 Jusnaini Muslimin, A.L. Asnawi, A.F. Ismail, H.A. Mohd Ramli, A.Z. Jusoh, S. oorjannah and Nor F. M. Azmin, "Basic Study of OFDM with Multipath Propagation Model in GNU platform," IEEE Conference on Wireless Sensors, 2015.
3 ElSayed A. Ahmed and Mohamed M. Khairy, "Semi-adaptive Channel Estimation Technique for LTE Systems," IEEE Symposium on Computers and Communications (ISCC), 2011.
4 Meng-Han Hsieh and Che-Ho Wei, "Channel Estimation for OFDM Systems Based on Comp-type Pilot Arrangement in Frequency Selective Fading Channels," IEEE Transactions on Consumer Electronics, Vol.44, No.1, February 1998. Article (CrossRef Link)
5 P. Fuxjager, A. Cotantini, D. Valerio, P. Castiglione, G. Zacheo, T. Zemen and F. Ricciato, "IEEE 802.11p Transmission Using GNU Radio," in Proc. of 6th Karlsruhe Workshop on Software Radios, Karlsruhe, Germany, March 2010. http://thomaszemen.org/papers/Fuxjaeger10-WSR-paper.pdf
6 Ha Cheol Lee, "FER Performance in the IEEE 802.11 a/g/n Wireless LAN over Fading Channel," Scientific Research on Communications and Network, 5, 10-15, 2013.
7 M.Eng. Christopher, B.Eng. Arthur Witt and Prof. Dr. Roland Muenzner, "A new ns-3 WLAN error rate model- Definition, validation of the ns-3 implementation and comparison to physical layer measurements with AWGN channel," in Proc. of Workshop on ns-3 (WNS3), Barcelona, Spain, 2015. https://www.nsnam.org/wp-content/uploads/2015/04/WNS3_2015_submission_34.pdf
8 Md. Masud Rana, Jisang Kim and Won-Kyung Cho, "An Adaptive LMS Channel Estimation Method for LTE SC-FDMA Systems," International Journal of Engineering & Technology, Vol. 10, No. 5, December 2010. http://ijens.org/101205-6464%20IJET-IJENS.pdf
9 Olivier Goubet, Gwilherm Baudic, Frederic Gabry and Tobias J. Oechtering, "Low Complexity Scalable Iterative Algorithms for IEEE 802.11p Receivers," IEEE Transactions on Vehicular Technology, 2014.
10 Md. Masud Rana and Md. Kamal Hosain, "Adaptive Channel Estimation Techniques for MIMO OFDM Systems, International Journal of Advanced Computer Science and Applications," Vol.1, No.6, December 2010. https://pdfs.semanticscholar.org/e120/db38120d5e756cfdde419a36be46bf4b68e3.pdf
11 Zijun Zhao, Xiang Cheng and Miaowen, Bingli Jiao, Cheng-Xiang Wang, "Channel Estimation Schemes for IEEE 802.11p Standard," IEEE intelligent transportation systems magazine, 2013.
12 Guangyu Pei and Thomas R. Henderson, "Validation of OFDM NIST and YANS error rate model in ns-3, Boeing Research & Technology," technical report from https://www.nsnam.org/-pei/80211ofdm.pdf
13 Bahattin Karakaya, Huseyin Arslan, Hakan and Ali Cirpan, "Channel Estimation for LTE Uplink in High Doppler Spread," IEEE Wireless Communications and Networking Conference, 2008.
14 GNU Radio Manual and C++ API Reference (3.7.10.1) [Online]. Available:
15 Sinem Coleri, Mustafa Ergen, Anuj Puri and Ahmad Bahai, "A study of channel estimation in OFDM systems," in Proc. of IEEE 56th Vehicular Technology Conference, 2002.
16 GNU Radio, the free and open source radio ecosystem, [Online]. Available: http://gnuradio.org/redmine
17 Bastian Bloessl, IEEE 802.11 a/g/p Transceiver [Online]. Available: https://github.com/bastibl/gr-ieee802-11.git
18 Samaneh Shooshtary, "Development of a MATLAB Simulation Environment for Vehicle-to-Vehicle and Infrastructure Communication Based on IEEE 802.11p," M.S. thesis, Department of Technology and Build Environment, University of Gavle, Dec., 2008. http://www.divaportal.org/smash/get/diva2:133311/FULLTEXT01.pdf
19 Rao, K. Deergha, "Channel Coding Technique for Wireless Communication," Performance of digital communication over fading channels, Chapter 2, Springer, 2015. http://www.springer.com/gp/book/9788132222910
20 Theodore S.Rappaport, "Wireless Communication Principles and Practice," 2nd Edition, Pearson Education, ch. 5-7, pp. 177-415, 2002.
21 Lihua Yang, Longxiang Yang and Yan Liang, "Iterative Channel Estimation for MIMO-OFDM system in Fast Time Varying Channels," KSII Transactions of Internet and Information Systems, Vol. 10, No. 9, Sept. 2016.
22 Bastian Bloessl, Michele Segata, Christoph Sommer and Falko Dressler, "Towards an Open Source IEEE 802.11p Stack: A Full SDR-based Transceiver in GNU Radio," in Proc. of 5th IEEE Vehicular Networking Conference (VNC 2013), Boston, MA, pp. 143-149, Dec. 2013.
23 Bastian Bloessl, Michele Segata, Christoph Sommer and Falko Dressler, "Decoding IEEE 802.11a/g/p OFDM in Software using GNU Radio," in Proc. of 19th ACM International Conference on Mobile Computing and Networking (MobiCom), Miami, FL, pp. 159-161, Oct. 2013.
24 Yan Yang, Dan Fei and Shuping Dang, "Inter-Vehicle Cooperation Channel Estimation for IEEE 802.11p V2I Communications," Journal of Communications and Networks, Vol.19, No.3, June 2017.
25 Razvan Andrei Stoica, Stefano Severi and Giuseppe Thadeu Freitas de Abreu, "On Prototyping IEEE 802.11p Channel Estimators in Real World Environments Using GNU Radio," IEEE Intelligent Vehicles Symposium (IV), Gothenburg, Sweden, June, 2016.