Sökning: "Optimization Algorithms"
Visar resultat 11 - 15 av 547 uppsatser innehållade orden Optimization Algorithms.
11. Digital Front End Algorithms for Sub-Band Full Duplex
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. LÄS MER
12. A Conjugate Residual Solver with Kernel Fusion for massive MIMO Detection
Master-uppsats, Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)Sammanfattning : This thesis presents a comparison of a GPU implementation of the Conjugate Residual method as a sequence of generic library kernels against implementations ofthe method with custom kernels to expose the performance gains of a keyoptimization strategy, kernel fusion, for memory-bound operations which is to makeefficient reuse of the processed data. For massive MIMO the iterative solver is to be employed at the linear detection stageto overcome the computational bottleneck of the matrix inversion required in theequalization process, which is 𝒪(𝑛3) for direct solvers. LÄS MER
13. System-level assessment and comparison of fast charging and battery swapping technologies for full electrification of Maritime vessels
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This thesis focuses on the system-level assessment and comparison of fast charging and battery-swapping technologies for the full electrification of maritime vessels. The maritime industry is a significant contributor to global greenhouse gas emissions and reducing emissions from shipping is crucial for achieving a sustainable future. LÄS MER
14. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Artificial Intelligence (AI) has emerged as a transformative force in wireless communications, driving innovation to address the complex challenges faced by communication systems. In this context, the optimization of limited radio resources plays a crucial role, and one important aspect is the Modulation and Coding Scheme (MCS) selection. LÄS MER
15. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : Channel estimation is the process of understanding and analyzing the wireless communication channel's properties. It helps optimize data transmission by providing essential information for adjusting encoding and decoding parameters. LÄS MER