Analysis of BER Performance over AWGN and Rayleigh Channels using FSK and PSK Modulation Schemes in LoRa Based IoT Networks

Author:

Swathika R1,Kumar S M Dilip1

Affiliation:

1. University Visvesvaraya College of Engineering, Bangalore University,Department of Computer Science and Engineering,Bengaluru,India

Publisher

IEEE

Reference13 articles.

1. Bit Error Rate (BER) Comparison of AWGN Channels for Different Type's Digital Modulation Using MATLAB Simulink;sadeque;American Scientific Research Jour-nal for Engineering Technology and,2015

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1. RSS-Based Localization using Deep Learning Models with Optimizer in LoRaWAN-IoT Networks;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

2. SecureHealth IoT: Ensuring Lightweight Security in MQTT Communication for Resource Constrained Devices Using Xor-HMAC Encryption;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

3. Harnessing Learn Rate Schedule for Adaptive Deep Learning in LoRaWAN-IoT Localization;IEEE Access;2024

4. Multi-objective Stochastic Gradient Based ADR Mechanism for Throughput and Latency Optimization in LoRaWAN;International Journal of Sensors, Wireless Communications and Control;2023-11

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