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Communication01:03

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Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
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Communication01:28

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Sharing information, concepts, and emotions to foster mutual understanding is communication. The sender, recipient, and transaction must be considered in this manner. The sender is the person who shares the message, the recipient is the person who receives and understands the message, and the transaction is the method used to deliver the message and the variables that affect the communication's context and surroundings. The nurse-client connection is built on therapeutic communication.
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    Area of Science:

    • Wireless Optical Communication (WOC)
    • Optical Networks
    • Multiple Access Techniques

    Background:

    • Wireless optical communication (WOC) systems face challenges due to the non-broadcast nature of optical beams and channel turbulence.
    • Non-orthogonal multiple access (NOMA) has shown promise in radio frequency (RF) systems, but its application in WOC requires further investigation.
    • Multipoint-to-point WOC systems with simultaneous user communication to a central node are common but require efficient multiple access schemes.

    Purpose of the Study:

    • To analyze the performance of a multipoint-to-point WOC system employing non-orthogonal multiple access (NOMA).
    • To compare the performance of NOMA against orthogonal multiple access (OMA) in WOC channels, particularly under varying turbulence conditions.
    • To investigate the impact of user pairing schemes on NOMA performance in WOC.

    Main Methods:

    • Theoretical analysis of outage probability, bit error rate, and ergodic sum rate for the WOC system.
    • Mathematical derivation to prove the performance superiority of NOMA over OMA.
    • Monte Carlo simulations to validate the theoretical findings.

    Main Results:

    • NOMA significantly outperforms OMA in the analyzed WOC system.
    • The performance gain of NOMA over OMA increases with the strength of channel turbulence.
    • The study provides theoretical proof and simulation-based validation for NOMA's effectiveness in WOC.

    Conclusions:

    • NOMA is a more suitable multiple access technique for wireless optical communication (WOC) systems compared to OMA.
    • NOMA demonstrates particular advantages in WOC environments with strong turbulence.
    • The findings support the adoption of NOMA for future WOC network designs, especially in challenging channel conditions.