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Interference Mitigation in Wireless Body Area Networks Using Modified and Modulated MHP

Published: 01 July 2014 Publication History

Abstract

Wireless Body Area Networks (WBAN) is an emerging area in field of remote health monitoring and telemedicine. UWB is a preferred candidate for the WBAN as it provides very high data rate at minimal cost and power consumption. Since the UWB-WBAN is wireless, it will be affected by interference from existing wireless personal and local area networks. Interference immunity is a major issue in wireless Body Area Networks as patients' vital data containing details of functioning of vital organs and blood flow are carried. The paper investigates the performance of modified and modulated hermite pulses (MHP) for narrowband interference mitigation in the 4,940–4,990 MHz band IEEE 802.11y Public Safety band interference. This 50 MHz interfering band will be a critical interferer due to the higher power levels of interfering system. Performance of the proposed technique have been shown in comparison with Gaussian pulse shapes and has been further validated by transmitting ECG and MRI data by it in presence of strong interference.

References

[1]
Yuce, M. R. (2010). Implementation of wireless body area networks for healthcare systems. Sensors and Actuators A: Physical, 162(1), 116---129.
[2]
Yazdandoost, K. Y., & Sayrafian-Pour, K.: Channel model for body area network (BAN). In IEEE channel modelling subcommittee report from IEEE P802.15 working group for Wireless Personal Area Networks (WPANs).
[3]
IEEE Standard for Information technology- Local and metropolitan area networks- Specific requirements- Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 3: 3,650---3,700 MHz Operation in USA, IEEE STD 802---11y-2008, vol., no., pp. 1,90 Nov. 3 (2008).
[4]
Cui, S., Teh, K. C., Li, K. H., Guan, Y. L., & Law, C. L. (2007). Narrowband interference suppression in transmitted reference UWB systems with inter-pulse interference. In IEEE international conference on ultra-wideband, 2007. ICUWB 2007, vol., no., pp. 895---898, 24---26.
[5]
Gao, W., Venkatesan, R., & Li, C. (2007). A pulse shape design method for ultra-wideband communications. In Wireless communications and networking conference, 2007.WCNC 2007. IEEE, vol., no., pp. 2800---2805, 11---15.
[6]
Ekome, S. M., Baudoin, G., Villegas, M., & Schwoerer, J. (2012). Narrowband interference mitigation in UWB communication with energy detector. In UltraWideband (ICUWB), 2012 IEEE international conference on (pp. 67---71). IEEE.
[7]
Ibrahim, J., & Buehrer, R. M. (2007). NBI mitigation for UWB systems using multiple antenna selection diversity. IEEE Transactions on Vehicular Technology, 56(4), 2363---2374.
[8]
Batra, A., et al. (2003). Multi-band OFDM physical layer proposal for IEEE 802.15 task group 3a, IEEE P802.15-03/268r1-TG3a.
[9]
IEEE Standard for Information technology-Telecommunications and Information exchange between systems-Local and metropolitan area networks, part 15.3: Wireless Medium Access Control(MAC) and Physical Layer (PHY).
[10]
IEEE Standard for Local and metropolitan area networks, Part 15.6: Wireless Body Area, Networks 29 February 2012.
[11]
Ghavami, M., Michael, L. B., & Kohno, R. (2007). Ultra wideband signals and systems in communication engineering. London: Wiley.
[12]
Siriwongpairat, W. P., & Liu, K. J. R. (2007). Ultra-wideband communications systems: multiband OFDM approach. Wiley-IEEE Press.
[13]
Mebaley Ekome, S., Schwoerer, J., Baudoin, G., & Villegas, M.: Performance analysis of a BPSK-BPPM UWB physical layer for wireless Body Area Networks. In Proceedings of the fifth international conference on Body Area Networks (BodyNets '10). ACM, New York, pp. 105---111.
[14]
Taparugssanagorn, A., Pomalaza-Ráez, C., Isola, A., Tesi, R., Hämäläinen, M., & Iinatti, J. (2010). Channel modelling for wireless body area networks in a hospital. International Journal of Ultra Wideband Communications and Systems, 1(4), 226---236.
[15]
Takizawa, K., et al. (2008). Channel models for wireless body area networks. In Engineering in medicine and biology society, 2008. EMBS 2008. 30th annual international conference of the IEEE. IEEE.
[16]
Fort, A., et al. (2006). An ultra-wideband body area propagation channel model-from statistics to implementation. IEEE Transactions on Microwave Theory and Techniques, 54(4), 1820---1826.
[17]
Hamalainen, M., & Iinatti, J. (2005). Analysis of interference on DS-UWB system in AWGN channel. In Ultra-Wideband, 2005. ICU 2005. 2005 IEEE International Conference on, vol., no., pp. 719,723, 5---8.
[18]
Peterson, R. L., Ziemer, R. E., & Borth, D. E. (1995). Introduction to spread spectrum communications. Upper Saddle River, New Jersey, USA: Prentice Hall.
[19]
Abramowitz, M., & Stegun, I. A. (Eds.) (1972). Orthogonal polynomials. In Ch. 22 in Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 9th printing (pp. 771---802). New York: Dover.
[20]
Andrew s, G. E., Askey, R., & Roy, R. (1999). Hermite polynomials. §6.1 in special functions. Cambridge, England: Cambridge University Press.
[21]
Aoyagi, T., Takada, J., Takizawa, K., Katayama, N., Kobayashi, T., & Yazdandoost, K. Y., et al. (2008). Channel model for wearable and implantable WBANs, IEEE 802.15-08-0416-04-0006.
[22]
DeMartini, W. B., Lehman, C. D., Peacock, S., & Russell, M. T. (2005). Computer-aided detection applied to breast MRI: Assessment of CAD-generated enhancement and tumor sizes in breast cancers before and after neoadjuvant chemotherapy1. Academic Radiology, Elsevier, 12(7), 806---814.
[23]
Ferraro, S., Biganzoli, E., Marano, G., Santagostino, M., Boracchi, P., Panteghini, M., et al. (2013). New insights in the pathophysiology of acute myocardial infarction detectable by a contemporary troponin assay. Clinical Biochemistry, Elsevier.
[24]
Rai, H. M., Trivedi, A., & Shukla, S. (2013). ECG signal processing for abnormalities detection using multi-resolution wavelet transform and artificial neural network classifier, measurement. Elsevier.

Cited By

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  • (2018)Opportunistic Spectrum Allocation for Interference Mitigation Amongst Coexisting Wireless Body Area NetworksACM Transactions on Sensor Networks10.1145/313925714:2(1-22)Online publication date: 21-Jul-2018
  • (2018)A Comparative Study of Interference and Mitigation Techniques in Wireless Body Area NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4977-698:2(2333-2365)Online publication date: 1-Jan-2018
  • (2017)Two-Stage Preamble Detection Scheme for IR-UWB CoexistenceWireless Personal Communications: An International Journal10.1007/s11277-017-4339-496:2(3027-3039)Online publication date: 1-Sep-2017
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Information & Contributors

Information

Published In

cover image Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal  Volume 77, Issue 2
July 2014
780 pages

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 July 2014

Author Tags

  1. Interference mitigation
  2. Jam resistance
  3. MHP
  4. Narrowband interference
  5. TH-BPSK
  6. UWB
  7. WBAN
  8. WLAN

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Cited By

View all
  • (2018)Opportunistic Spectrum Allocation for Interference Mitigation Amongst Coexisting Wireless Body Area NetworksACM Transactions on Sensor Networks10.1145/313925714:2(1-22)Online publication date: 21-Jul-2018
  • (2018)A Comparative Study of Interference and Mitigation Techniques in Wireless Body Area NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4977-698:2(2333-2365)Online publication date: 1-Jan-2018
  • (2017)Two-Stage Preamble Detection Scheme for IR-UWB CoexistenceWireless Personal Communications: An International Journal10.1007/s11277-017-4339-496:2(3027-3039)Online publication date: 1-Sep-2017
  • (2017)Interference Analysis and Mitigation Techniques in Wireless Body Area NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4071-096:3(3333-3344)Online publication date: 1-Oct-2017
  • (2017)Analysis of eavesdropping attack in mmWave-based WPANs with directional antennasWireless Networks10.1007/s11276-015-1160-423:2(355-369)Online publication date: 1-Feb-2017
  • (2017)Multiple narrowband interference mitigation using hybrid Hermite pulses for body surface to external communications in UWB body area networksWireless Networks10.1007/s11276-015-1159-x23:2(387-402)Online publication date: 1-Feb-2017
  • (2016)Multi-relay cooperative body surface communications in ultra-wideband body area networksComputers and Electrical Engineering10.1016/j.compeleceng.2016.02.00650:C(111-124)Online publication date: 1-Feb-2016
  • (2016)Performance of amplify forward and decode forward cooperative strategies for body surface communications in UWB Body Area NetworksInternational Journal of Communication Systems10.1002/dac.299429:5(916-928)Online publication date: 25-Mar-2016

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