PSO-Optimized Power Allocation in NOMA-QAM for Beyond 5G: A CFD and MFD Analysis
الموضوعات : Wireless Network
1 - IET Lucknow
الکلمات المفتاحية: NOMA, MFD, CFD, PSO, 5G, NGN,
ملخص المقالة :
Cognitive Radio (CR) and NOMA are two techniques that are showing out to be the most promising in the current context for improving 5G spectrum usage. New gadgets, IOT and expanding wireless applications has created a tremendous demand of spectrum in the ISM groups. With CR allowing secondary users (SU) to determine and make use of idle spectrum components the FCC permits unlicensed users to use spectrum without any interference to primary users. To address spectrum scarcity, Cognitive Radio (CR) techniques have been developed. However, the lack of standardization has led to numerous variations of CR algorithms. Through this paper we aim to offer a thorough summary of CR techniques, including recent and emerging methods. Unlike traditional methods that limit spectrum use when it's idle, recent NOMA advancements enhance spectrum efficiency. Our research suggests a method that utilizes Particle Swarm Optimization (PSO) to enhance the detection probability of Cyclostationary Feature (CFD) and Match Filter Detection. Also we have optimized power allocation for NOMA users using PSO algorithm. Iterative simulation and optimization is carried out for various Pfa values, and findings are presented to demonstrate the relationship between Pd and Pf. Based upon the results of the simulations the optimization of CFD technique has a shorter sensing time and achieves detection at the lowest SNR possible for a fixed threshold configuration.
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