Search for dissertations about: "neural networks in telecommunications"

Showing result 1 - 5 of 7 swedish dissertations containing the words neural networks in telecommunications.

  2. 1. Deep neural networks for electromagnetics applied to optimization and inverse problems

    Author : Simon Stenmark; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; calibration; optimization; Inverse problems; normalization; deep learning; neural networks;

    Abstract : This thesis explores the possibilities to complement full-wave electromagnetic solvers with fully-connected neural networks. We emphasize problems that must be solved a very large number of times in a limited parameter domain. We present and evaluate the normalization method ForwardNorm. READ MORE

  4. 2. Decentralized Learning of Randomization-based Neural Networks

    Author : Xinyue Liang; Saikat Chatterjee; Mikael Skoglund; Nikolaos Deligiannis; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Machine learning and artificial intelligence have been wildly explored and developed very fast to adapt to the expanding need for almost every aspect of human development. When stepping into the big data era, siloed data localization has become a big challenge for machine learning. READ MORE

  5. 3. Autoencoders for Physical-Layer Communications: Approaches and Applications

    Author : Jinxiang Song; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; physical-layer communications; neural networks; hardware impairments; machine learning; autoencoders; digital signal processing; equalization.;

    Abstract : The ever-growing demand for higher data rates has driven continuous developments in communication systems over the years. As upcoming high-bandwidth services require even higher data rates, future digital communication infrastructures must undergo continuous upgrades to provide increased capacity. READ MORE

  6. 4. Machine Learning for Wireless Link Adaptation : Supervised and Reinforcement Learning Theory and Algorithms

    Author : Vidit Saxena; Joakim Jaldén; Mats Bengtsson; Hugo Tullberg; Jakob Hoydis; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wireless Communications; Reinforcement Learning; Multi-Armed Bandits; Thompson Sampling; Convex Optimization; Deep Learning; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Wireless data communication is a complex phenomenon. Wireless links encounter random, time-varying, channel effects that are challenging to predict and compensate. Hence, to optimally utilize the channel, wireless links adapt the data transmission parameters in real time. READ MORE

  7. 5. Rate, Reliability and Secrecy Performance Analysis and Optimization for Millimeter WaveCommunications

    Author : Shaocheng Huang; Ming Xiao; Mikael Skoglund; Marco Renzo; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Abstract : With the fast development of electronic devices and computer science, various emerging applications (e.g., virtual and augmented reality, ultra-high-definition three-dimensional video, autonomous driving, big data analysis, etc. READ MORE