Thesis: Jamming Resistant Model for Channel Performance Estimate of MIMO systems in LTE Networks
University: Makerere University - MUK
Research Area: Mobile and Wireless Technologies
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Jamming is a phenomena existing in analog-digital transmissions in electronic devices in a MIMO architecture and causes denial of service. The Adaptive loop in stationary state accounts for signal interrupts in communications. The biggest challenge originates from jammers which cause large and small errors in communication, hence call drops. Basics of implementation use Inverse Fast Fourier Transform (IFFT) technique and copes with recursive methods. The model considers the Network layer that cannot work in isolation of other layers like physical layers. In determine of digital communication, the Network layer can be extended using a Channel Hopping Technique chosen for reduction of interrupt jamming and a scheme modified with a pseudorandom sequence. The Jamming Resistant Model (JRM) is built with MATLAB to simulate data of thousands of channels. Simulation results indicate that Availability and Reliability are inversely proportional to the number of jam signals. Jamming Resistant Model can be 98% of Channel performance levels for identified jam signals. The large sample of signals transmitted estimates a channel to be accurate with Minimum Mean Square.
