期刊论文详细信息
Entropy
Cross Layer Interference Management in Wireless Biomedical Networks
Emmanouil G. Spanakis1  Vangelis Sakkalis1  Kostas Marias1 
[1] Computational Medicine Laboratory (CML), Institute of Computer Science (ICS), Foundation for Research and Technology (FORTH), N. Plastira 100, Vassilika Vouton, GR-700 13, Heraklion, Crete, Greece; E-Mails:
关键词: wireless networks;    interference modeling;    cross layer design;    transmission range;    transmission rate;    wireless biomedical body/personal area networks;    mHealth;    eHealth;   
DOI  :  10.3390/e16042085
来源: mdpi
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【 摘 要 】

Interference, in wireless networks, is a central phenomenon when multiple uncoordinated links share a common communication medium. The study of the interference channel was initiated by Shannon in 1961 and since then this problem has been thoroughly elaborated at the Information theoretic level but its characterization still remains an open issue. When multiple uncoordinated links share a common medium the effect of interference is a crucial limiting factor for network performance. In this work, using cross layer cooperative communication techniques, we study how to compensate interference in the context of wireless biomedical networks, where many links transferring biomedical or other health related data may be formed and suffer from all other interfering transmissions, to allow successful receptions and improve the overall network performance. We define the interference limited communication range to be the critical communication region around a receiver, with a number of surrounding interfering nodes, within which a successful communication link can be formed. Our results indicate that we can achieve more successful transmissions by adapting the transmission rate and power, to the path loss exponent, and the selected mode of the underline communication technique allowing interference mitigation and when possible lower power consumption and increase achievable transmission rates.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland

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