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http://dx.doi.org/10.7840/KICS.2012.37.6C.476

A Study for Co-channel Interference Cancelation Algorithm with Channel Estimation for WBAN System Application  

Choi, Won-Seok (한국산업기술대학교 전자공학과 무선 통신 연구실)
Kim, Jeong-Gon (한국산업기술대학교 전자공학과 무선 통신 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.37, no.6C, 2012 , pp. 476-482 More about this Journal
Abstract
In this paper, we analyze and compare several co-channel interference mitigation algorithms for WBAN application in 2.4 GHz ISM frequency bands. ML (Maximum Likelihood), OC (Optimal Combining) and MMSE (Minimum Mean Square Error) has been considered for the possible techniques for interference cancellation in view of the trade off between the performance and the complexity of implementation. Based on the channel model of IEEE 802.15.6 standard, simulation results show that ML and OC attains the lower BER performance than that of MMSE if we assume the perfect channel estimation. But, ML and OC have the additional requirement of implementation for his own and other users's channel estimation process, hence, besides the BER performance, the complexity of implementation and the sensitivity to channel estimation error should be considered since it requires the simple and small sized equipment for WBAN system application. In addition, the gap of detection BER performance between ML, OC and MMSE is much decreased under the imperfect channel estimation if we adopt real channel estimation process, therefore, in order to apply to WBAN system, the trade off between the BER performance and complexity of implemetation should be seriously considered to decide the best co-channel interference cancellation for WBAN system application.
Keywords
WBAN; MMSE; Optimal Combing; Maximum Likelihood;
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  • Reference
1 H. Lee, "A Trend on Frequency Allocation and the Proposal of Frequency band for WBAN", Information and Communication Magazine, Vol. 25, No. 2, pp. 6-10, 2008.
2 M. Moon, M. Kim, M. Kang, I. Kim, M. Lee, "A Syudy on the Improvement of Zigbee based Network Interference", Review of Korean Society for Internet Information Vol. 3, No. 2, pp. 551-556, 2007.
3 B. Woo, J. Jang, S. Bae, D. Lee, S. Shin, S. Oh, J. Kim, "A Test of Zigbee Function in Future Wi-Fi and Bluetooth Based Frequency Interference Environment", 2006 Korea Computer Congress, Vol. 33, No. 1(A), pp. 181-183, 2006.
4 J Sohn, K. Jeong, " A Channel Hopping Scheme of Zigbee Network for WLAN based Frequency Interference Cancellation", 2011 Korea Computer Congress, Vol. 38, No. 1(A), pp. 369-372, 2011.
5 W. Lee, "An Efficient Channel Management for Wireless BAN", Review of Korean Society for Internet Information, Vol. 9, No. 4, pp. 37-47, 2008.
6 M. Motani, Y. kok-kiong, A. Natarajan, B. de Silva, S. Hu, K. C. Chua, "Network Characteristics of Urban Environments for Wireless BAN", Biomedical Circuit and System Conference, pp. 179-182, Nov. 2007.
7 Crossbow, "Avoiding RF Interference Between Wi-Fi and Zigbee", Crossbow Technical Report.
8 S. L. Cotton., W. G. Scanlon, P. S. Hall., "A Simulated Study of Co-Channel Inter-BAN Interfernce at 2.45GHz and 60GHz", Wireless Technology Conference, pp. 61-64, Sept. 2010.
9 IEEE 802.15.6 TG, "Channel Model for Body Area Network (BAN)", July 2010.
10 IEEE 802.15.6 TG, "Channel Models for WBANs -NICT", Nov. 2008.
11 P. V. Reddy, V. Ganapathy, "Performance of Multi User Detector based receivers for UWB body area networks", 10th International Conference on Health Communication, pp. 227-231, July 2008.
12 D. Bladsjo, A. Furuskar, S. Javerbring, E. Larsson, "Interference cancellation using antenna diversity for EDGE-enhanced data rates in GSM and TDMA/136", Vehicular Technology Conference, pp. 9156-1960, Sep. 1999.
13 J. H. Winters, "Optimum combining in digital mobile radio with co-channel interference", IEEE Transactions on Vehicular Technology, vol. 33, No. 4, pp. 144-155, August 1984.   DOI   ScienceOn