Essays about: "Downlink power"

Showing result 11 - 15 of 50 essays containing the words Downlink power.

  1. 11. Investigation on Positioning Techniques for Indoor Office Scenario

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

    Author : Yan Shu; Yujie Zhang; [2020]
    Keywords : Technology and Engineering;

    Abstract : This master thesis aims to investigate downlink positioning techniques and improve fifth-generation (5G) cellular positioning performance in the indoor office scenario. In the thesis work, we target in the indoor office scenario because it is a typical deployment scenario standardized in 3GPP release 16. READ MORE

  3. 12. UE Performance in a 5G Multi-connectivity UDN City Scenario

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : José Perdomo; [2019]
    Keywords : ;

    Abstract : Multi-connectivity and network densification are two solutions intended to enhance user throughput and reliability. These solutions are critical since 5G NR uses a wide range of frequency bands, which exhibit different varying radio coverage characteristics. READ MORE

  4. 13. Localization of eNodeBs with a Large Set of Measurements from Train Routers

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Simon Sundberg; [2019]
    Keywords : Localization; Positioning; LTE; eNodeB; base stations; Received Signal Strength; RSS;

    Abstract : This master thesis investigates the possibility of locating LTE base stations, known as eNodeBs, using signal measurements collected by routers on trains. Four existing algorithms for transmitter localization are adopted: the centroid, strongest signal, Monte Carlo path loss simulation and power difference of arrival (PDoA) methods. READ MORE

  5. 14. Deep Reinforcement Learning for Downlink Power Control in Dense 5G Networks

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

    Author : Sara Saeidian; [2019]
    Keywords : ;

    Abstract : This thesis examines the problem of downlink power allocation in dense 5Gnetworks, and attempts to develop a data-driven solution by employing deepreinforcement learning. We train and test multiple reinforcement learningagents using the deep Q-networks (DQN) algorithm, and the so-called Rainbowextensions of DQN. READ MORE

  6. 15. IOT CONNECTIVITY WITH EDGE COMPUTING

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Maximilian Stiefel; [2018]
    Keywords : ;

    Abstract : Billions of Internet of Things (IoT) devices will be connected in the next decades. Most devices are for Massive Machine Type Communication (MMTC) applications. This requires the IoT infrastructure to be extremely efficient and scalable (like today’s Internet) to support more and more devices connected to the network over time. READ MORE