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Content Provider | IEEE Xplore Digital Library |
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Author | Ahmed, E. Kohno, R. |
Copyright Year | 2013 |
Description | Author affiliation: Div. of Phys., Yokohama Nat. Univ., Yokohama, Japan (Ahmed, E.; Kohno, R.) |
Abstract | Although the $4^{th}$ generation (4G) of global mobile communication network, i.e. Long Term Evolution (LTE) coexisting with the $3^{rd}$ generation (3G) has successfully started; the $2^{nd}$ generation (2G), i.e. Global System for Mobile communication (GSM) still playing an important role in many developing countries. Without any other reliable network infrastructure, GSM can be applied for tele-monitoring applications, where high mobility and low cost are necessary. A core objective of this paper is to introduce the design of a more reliable and dependable Medical Network Channel Code system (MNCC) through GSM Network. MNCC design based on simple concatenated channel code, which is cascade of an inner code (GSM) and an extra outer code (Convolution Code) in order to protect medical data more robust against channel errors than other data using the existing GSM network. In this paper, the MNCC system will provide Bit Error Rate (BER) equivalent to the BER for medical tele monitoring of physiological signals, which is $10^{-5}$ or less [1]. The performance of the MNCC has been proven and investigated using computer simulations under different channels condition such as, Additive White Gaussian Noise (AWGN), Rayleigh noise and burst noise. Generally the MNCC system has been providing better performance as compared to GSM. |
Starting Page | 4755 |
Ending Page | 4758 |
File Size | 1917694 |
Page Count | 4 |
File Format | |
ISBN | 9781457702167 |
ISSN | 1557170X |
DOI | 10.1109/EMBC.2013.6610610 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-03 |
Publisher Place | Japan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | GSM Bit error rate Decoding Noise Reliability Convolution Mobile communication |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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