Efficient interference cancellation scheme for wireless body area network

In this paper, we propose and simulate an efficient interference cancellation scheme with an optimal ordering successive interference cancellation (SIC) algorithm for ultra wideband (UWB)/multiple-input-multiple-output (MIMO) systems in a wire- less body area network (WBAN). When there are several wireless communication devices on a human body, multiple access interference (MAI) usually occurs. To mitigate the effect of MAI and achieve additional diversity gain, we utilize SIC with an optimal ordering algorithm. A zero correlation duration (ZCD) code with robust MAI capability is employed as a spread code for UWB systems in a multi-device WBAN environment. The performance of the proposed scheme is evaluated in terms of the bit error rate (BER). Simulation results confirm that the BER performance can be improved significantly if the proposed interference cancellation scheme and the ZCD code are jointly employed.

[1]  Hyuncheol Park,et al.  Performance Analysis of MIMO System with Linear MMSE Receiver , 2008, IEEE Transactions on Wireless Communications.

[2]  K. Hamaguchi,et al.  R&D and standardization of body area network (BAN) for medical healthcare , 2008, 2008 IEEE International Conference on Ultra-Wideband.

[3]  Moe Z. Win,et al.  Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications , 2000, IEEE Trans. Commun..

[4]  Kamran Sayrafian-Pour,et al.  A DS-CDMA Interference Cancellation technique for body area networks , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[5]  Moe Z. Win,et al.  On the robustness of ultra-wide bandwidth signals in dense multipath environments , 1998, IEEE Communications Letters.

[6]  Geoffrey Ye Li,et al.  Practical approaches to channel estimation and interference suppression for OFDM-based UWB communications , 2006, IEEE Transactions on Wireless Communications.

[7]  Huaping Liu,et al.  Error performance of pulse-based ultra-wideband MIMO systems over indoor wireless channels , 2005, IEEE Transactions on Wireless Communications.

[8]  Dong Kyun Park,et al.  Trend of wireless u-Health , 2009, 2009 9th International Symposium on Communications and Information Technology.

[9]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[10]  Jin Young Kim.  Detection Loss Due to Phase Error in a Code Division Multiple Access System , 2002 .

[11]  Hoon Huh,et al.  Performance of a multicarrier ds/cdma system with successive interference cancellation , 2002, Eur. Trans. Telecommun..

[12]  Dong In Kim,et al.  M-ary Code Shift Keying Impulse Modulation Combined with BPPM for UWB Communications , 2007, IEEE Transactions on Wireless Communications.

[13]  Khalida Ghanem,et al.  Interference Cancellation in Body-Area Networks Using Linear Multiuser Receivers , 2010, Int. J. Wirel. Inf. Networks.

[14]  Harri Viittala,et al.  Different experimental WBAN channel models and IEEE802.15.6 models: Comparison and effects , 2009, 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies.

[15]  Yue Ping Zhang,et al.  Performance of UWB Impulse Radio With Planar Monopoles Over On-Human-Body Propagation Channel for Wireless Body Area Networks , 2007, IEEE Transactions on Antennas and Propagation.

[16]  Victor C. M. Leung,et al.  Enabling technologies for wireless body area networks: A survey and outlook , 2009, IEEE Communications Magazine.