Quantum Methods for Optimizing and Improving Wireless Communication Performance

Abstract

Recent advances in quantum computing and communication have enabled innovative approaches to solving complex optimization problems that traditional methods struggle to address. This dissertation explores the development and application of quantum optimization techniques, leveraging the principles of quantum mechanics, to enhance the efficiency and performance of downlink Multiple input multiple output (MIMO) systems.

The research begins by developing quantum genetic algorithms, including the Non-Highly Constrained Quantum Genetic Algorithm (NHCQGA) and the Highly Constrained Quantum Genetic Algorithm (HCQGA). These algorithms not only significantly reduce computational complexity and enhance accuracy but also demonstrate their capability to efficiently operate within massive, unsorted databases, making them effective tools for addressing complex optimization challenges in MIMO systems.

Following this, the Constrained Quantum Optimization Algorithm (CQOA) is applied to single-user downlink MIMO systems, demonstrating significant improvements in power efficiency and computational cost compared to traditional methods. The research then extends to multi-user scenarios, addressing interference considerations and highlighting the CQOA's superior performance through comparisons with classical algorithms, such as the Water Filling Algorithm-based Binary Searching Algorithm (WFA-BSA) and the Exhaustive Water-Filling Algorithm (EWFA). Moreover, I precisely determined the stochastic parameters required for the Binary Searching Algorithm (BSA) integrated within both the WFA and CQOA, thereby optimizing their performance.

The Unconstrained Quantum Genetic Algorithm (UQGA) is further applied to optimize single-cell massive MIMO (mMIMO) systems, demonstrating its ability to significantly reduce power consumption while maintaining scalability and low computational complexity.

Finally, the dissertation introduces and evaluates the Quantum OFDM (Q-OFDM) transmission scheme, showing its potential to enhance communication efficiency and security in quantum communication networks through detailed analyses of Correct Measurement Probability and Bit Error Rate (BER).