Essays about: "Spectral Efficiency"

Showing result 11 - 15 of 112 essays containing the words Spectral Efficiency.

  1. 11. Personalized Federated Learning for mmWave Beam Prediction Using Non-IID Sub-6 GHz Channels

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yuan Cheng; [2022]
    Keywords : Personalized Federated Learning; Millimeter wave; Beamforming; DeepMIMO; Non-IID; Personaliserad Federad Inlärning; Millimetervågor; Strålformning; DeepMIMO; Icke-IID;

    Abstract : While it is difficult for base stations to estimate the millimeter wave (mmWave) channels and find the optimal mmWave beam for user equipments (UEs) quickly, the sub-6 GHz channels which are usually easier to obtain and more robust to blockages could be used to reduce the time before initial access and enhance the reliability of mmWave communication. Considering that the channel information is collected by a massive number of radio base stations and would be sensitive to privacy and security, Federated Learning (FL) is a match for this use case. READ MORE

  2. 12. Exploiting Spatial Redundancy and Approximate Computing for Area Efficient Image Compression

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Saurav Arjun; [2022]
    Keywords : Image Compression; VLSI; Spatial redundancy; DCT; Compression; System Verilog; Technology and Engineering;

    Abstract : Owing to the intensive computation involved in the Discrete Cosine Transform during image com- pression, the design of the efficient hardware architectures for fast computation of the transform has become imperative, especially for real-time applications. Although fast computation techniques have been able to minimise the hardware computation complexity to a certain limit, they could further extend the research to figure out the interesting approaches which can be implemented on applications where power, speed and area are crucial factors to determine the performance of the system. READ MORE

  3. 13. Access Point Selection and Clustering Methods with Minimal Switching for Green Cell-Free Massive MIMO Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Qinglong He; [2022]
    Keywords : Cell-free massive MIMO; multi-objective optimization; deep reinforcement learning; AP switch ON OFF; energy efficiency; Cellfri massiv MIMO; multiobjektiv optimering; djup förstärkningsinlärning; AP switch ON OFF; energieffektivitet;

    Abstract : As a novel beyond fifth-generation (5G) concept, cell-free massive MIMO (multiple-input multiple-output) recently has become a promising physical-layer technology where an enormous number of distributed access points (APs), coordinated by a central processing unit (CPU), cooperate to coherently serve a large number of user equipments (UEs) in the same time/frequency resource. However, denser AP deployment in cell-free networks as well as an exponentially growing number of mobile UEs lead to higher power consumption. READ MORE

  4. 14. Extrapolation of polynomial nets and their generalization guarantees

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yongtao Wu; [2022]
    Keywords : Polynomial neural networks; Neural tangent kernel; Extrapolation; Polynomial neural networks; Neural tangent kernel; Extrapolation;

    Abstract : Polynomial neural networks (NNs-Hp) have recently demonstrated high expressivity and efficiency across several tasks. However, a theoretical explanation toward such success is still unclear, especially when compared to the classical neural networks. READ MORE

  5. 15. Turing's model for pattern formation

    University essay from KTH/Fysik

    Author : Oskar Forsström; Oskar Falgén Nikula; [2022]
    Keywords : Reaction-diffusion; Turing pattern; morphogen; Grier-Meinhardt; Schnakenberg; numerical analysis; minimum energy control;

    Abstract : In an attempt to describe how patterns emerge in biological systems, Alan Turing proposed a mathematical model encapsulating the properties of such processes. It details a partial differential equation governing the dynamics of two or more substances, called morphogens, reacting and diffusing in a specific manner, in turn generating what has now come to be denoted as Turing patterns. READ MORE