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A SIGNAL INTEGRITY BASED RATE ADAPTATION ALGORITHM

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The thesis presents a Signal Integrity Based Rate Adaptation Algorithm for wireless networks, specifically targeting IEEE 802.11n systems. It addresses the challenges of signal degradation due to environmental factors and proposes a new algorithm that adapts transmission rates based on signal quality and packet error rates. Through experimental analysis, the proposed algorithm demonstrates improved throughput compared to existing rate adaptation methods, effectively minimizing packet loss while maximizing data transmission efficiency.

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