Abstract
AbstractMedical health applications and the relevant techniques become more and more specific and limited in terms of the required system’s parameters. Indeed, movable hospitals and ambulances, for example, are fully equipped with modern communication appliances that are in need of efficient and specific designs, such as wireless video calls, far distance demonization, high-quality image transmissions…etc. Accordingly, the major contribution for this chapter is proposing modern techniques based on improving data exchanging techniques over the Physical Layer (PL) to fulfill practical requirements of medical applications.This chapter investigates the Network Coding (NC) technique that implemented to save the transmission power, improve the Bit Error Rate (BER) and Packet Error Rate (PER), and reduce the communication traffic. Moreover, the explicit and efficient design of equalizers that can fit the required parameters of the medical applications explored in this chapter. Indeed, applying the Orthogonal Frequency-Division Multiplexing (OFDM) system on the PL becomes such a well-recommended solution for the complexity resulted from the time-invariant multi-path channel effects, which requires sophisticated equalizers. So, this chapter proposes a simplified equalizer to apply over mobile medical systems such as the wireless communication systems implemented in ambulances or transportable hospitals.Finally, the queuing algorithms for the Multi-Service Streams Network (MSSN) investigated in good detail, and hence the most applicable queuing algorithm for several medical applications was recommended.The results of the research work show that PL efficient technique deigns significantly participates in improving mobile wireless communication for medical applications, such as in less power consumption, better BER and PER, and less time-invariant multi-path channel effects.KeywordsPhysical layerNetwork codingCo-operative networkOrthogonal frequency-division multiplexingQueuing algorithmsBit error ratePacket error rate
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