Essays about: "Link-Adaptation"

Showing result 1 - 5 of 22 essays containing the word Link-Adaptation.

  1. 1. Transformer Offline Reinforcement Learning for Downlink Link Adaptation

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

    Author : Alexander Mo; [2023]
    Keywords : Link Adaptation; Transformers; Reinforcement Learning; Sequence Modelling; Decision Transformer; Deep Neural Networks; Radio Resource Management; Telecommunication; Länkanpassning; Transformers; Reinforcement Learning; Sekvensmodellering; Beslutsstöd; Djupa neurala nätverk; Dataresurshantering; Telekommunikation;

    Abstract : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). READ MORE

  3. 2. 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

  4. 3. Scalable Distributed Reinforcement Learning for Radio Resource Management

    University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Author : Frida Svensson; [2021]
    Keywords : Machine learning; Artificiial Intellegence; Telecommunication;

    Abstract : There is a large potential for automation and optimization in radio access networks (RANs) using a data-driven approach to efficiently handle the increase in complexity due to the steep growth in traffic and new technologies introduced with the development of 5G. Reinforcement learning (RL) has natural applications in RAN control loops such as link adaptation, interference management and power control at different timescales commonly occurring in the RAN context. READ MORE

  5. 4. Extreme Quantile Estimation of Downlink Radio Channel Quality

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Philip Palapelas Kantola; [2021]
    Keywords : quantile regression; telecommunications; machine learning; quantile regression neural network; link adaptation; sinr;

    Abstract : The application area of Fifth Generation New Radio (5G-NR) called Ultra-Reliable and Low-Latency Communication (URLLC) requires a reliability, the probability of receiving and decoding a data packet correctly, of 1 - 10^5. For this requirement to be fulfilled in a resource-efficient manner, it is necessary to have a good estimation of extremely low quan- tiles of the channel quality distribution, so that appropriate resources can be distributed to users of the network system. READ MORE

  6. 5. Reinforcement Learning for Link Adaptation in 5G-NR Networks

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

    Author : Evagoras Makridis; [2020]
    Keywords : ;

    Abstract : The Adaptive Modulation and Coding (AMC) scheme in the link adaptation is a core feature in the current cellular networks. In particular, based on Channel Quality Indicator (CQI) measurements that are computed from the Signal-to-Interference-plus-Noise Ratio (SINR) level of User Equipment (UE), the base station (e.g. READ MORE