Sökning: "sum rate maximization"

Visar resultat 1 - 5 av 6 avhandlingar innehållade orden sum rate maximization.

  1. 1. Hardware Distortion-Aware Beamforming for MIMO Systems

    Författare :Yasaman Khorsandmanesh; Emil Björnson; Joakim Jaldén; Bo Göransson; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Quantization-aware precoding; limited fronthaul capacity; sum rate maximization; millimeter wave mmWave ; beam coherence time; user equipment UE mobility.; Kvantiseringsmedveten förkodning; begränsad fronthaulkapacitet; summahastighetsmaximering; millimetervåg mmWave ; strålkoherens tid; användarutrustning UE mobilitet.; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : In the upcoming era of communication systems, there is an anticipated shift towards using lower-grade hardware components to optimize size, cost, and power consumption. This shift is particularly beneficial for multiple-input multiple-output (MIMO) systems and internet-of-things devices, which require numerous components and extended battery lifes. LÄS MER

  3. 2. Practical Deployment Aspects of Cell-Free Massive MIMO Networks

    Författare :Mahmoud Zaher; Emil Björnson; Marina Petrova; Mikael Sternad; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cell-free massive MIMO; power allocation; sum-SE maximization; proportional fairness; spectral efficiency; deep learning; handover; cluster formation; pilot assignment; unknown interference; outage; multiuser MIMO.; Cellfri massiv MIMO; effektreglering; summa-SE-maximering; proportionell rättvisa; spektraleffektivitet; djupinlärning; överlämning; klusterbildning; pilottilldelning; okända störningar; avbrottsnivå; MIMO för flera användare.; Datalogi; Computer Science;

    Sammanfattning : The ever-growing demand of wireless traffic poses a challenge for current cellular networks. Each new generation must find new ways to boost the network capacity and spectral efficiency (SE) per device. A pillar of 5G is massive multiple-input-multiple-output (MIMO) technology. LÄS MER

  4. 3. Towards Low-Complexity Vector Quantization

    Författare :T. Z. Shabestary; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gaussian encoder; source coding; companding; Gaussian mixture; random coding; vector quantization; spectral coding;

    Sammanfattning : This thesis is about constructing low-complexity, yet high-performance, vector quantizers (VQs) for 'real-world' sources. Knowledge concerning the source is extracted from a finite training set. In contrast with conventional VQ design procedures, we use the training set to estimate a statistical model for the source. LÄS MER

  5. 4. Intelligent System Designs : Data-driven Sensor Calibration & Smart Meter Privacy

    Författare :Yang You; Tobias J. Oechtering; Olga Fink; KTH; []
    Nyckelord :Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Nowadays, the intelligent system has gained high popularity in successful implementation of real-time tasks due to its capability of providing efficient and powerful decision making in real applications. In this thesis, we aim for exploring and exploiting different concepts or methods to handle different tasks towards the intelligent system design. LÄS MER

  7. 5. Distributed Detection and Its Applications with Energy Harvesting Wireless Networks

    Författare :Sinchan Biswas; Subhrakanti Dey; Steffi Knorn; Anders Ahlen; Pierluigi Salvo Rossi; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Energy harvesting; Wireless Sensor Networks; Distributed Detection; Cognitive Radio Networks; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : With the advent and widespread applications of high data-rate wireless services and devices, two of the fundamental resources in wireless communication have become extremely important and are scarce. These two resources are bandwidth and energy respectively. LÄS MER