Essays about: "UE."

Showing result 11 - 15 of 105 essays containing the word UE..

  1. 11. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach

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

    Author : Siva Satya Sri Ganesh Seeram; [2022]
    Keywords : Link Adaptation; OLLA; AMC; Reinforcement Learning; DDPG; BLER; Länkanpassning; OLLA; AMC; förstärkningsinlärning; DDPG; BLER;

    Abstract : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. READ MORE

  3. 12. Belief Rule-Based Workload Orchestration in Multi-access Edge Computing

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

    Author : Mohammad Newaj Jamil; [2022]
    Keywords : Multi-access Edge Computing MEC ; Task Offloading; Workload Orchestrator; Belief Rule Base BRB ; Performance Evaluation;

    Abstract : Multi-access Edge Computing (MEC) is a standard network architecture of edge computing, which is proposed to handle tremendous computation demands of emerging resource-intensive and latency-sensitive applications and services and accommodate Quality of Service (QoS) requirements for ever-growing users through computation offloading. Since the demand of end-users is unknown in a rapidly changing dynamic environment, processing offloaded tasks in a non-optimal server can deteriorate QoS due to high latency and increasing task failures. READ MORE

  4. 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

  5. 14. Initial access in 5G mmWave networks with different base station parameters

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

    Author : Xiao Yang; [2022]
    Keywords : Initial Access; Millimeter-Wave Network; Cell Search; Random Search; Genetic Algorithm; Machine Learning; Första åtkomst; Millimetervågsnätverk; Cell sökning; Slumpmässig sökning; Genetisk algoritm; Maskininlärning;

    Abstract : Nowadays in the fifth generation (5G) communication systems, millimeter wave (mmWave) has aroused interest to not only industrial use but also network operators due to the massive amount of bandwidth available at mmWave frequencies. Initial access in cellular systems is an essential procedure in which new mobile user equipment (UE) establishes a connection with a base station (BS). READ MORE

  6. 15. 2D Orientation Estimation Using Machine Learning With Multiple 5G Base Stations

    University essay from Linköpings universitet/Reglerteknik; Linköpings universitet/Tekniska fakulteten

    Author : Jianxin Qu; Nikil Johny Kunnappallil; [2022]
    Keywords : ;

    Abstract : Localization of mobile devices has implications on a multitude of use cases such as estimating the location of the user originating an emergency call, localization of devices to enable autonomous operation required by industrial Internet of Things (IoT) use cases, etc. In futuristic use cases such as Augmented Reality (AR), Virtual Reality (VR), Extended Reality (XR), autonomous navigation of Unmanned Aerial Vehicles (UAVs), we will require the capability of estimating orientation in addition to position of such devices for efficient and effective provisioning of these services to the end-users. READ MORE