Sökning: "BLER"
Visar resultat 1 - 5 av 15 uppsatser innehållade ordet BLER.
1. Employee representation on the board of directors and its implications on corporate risk- A quantitative study on diverging stakeholder preferences
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This study investigates how board-level employee representation (BLER) impacts the risk profile of a firm. More specifically, it investigates whether the binary presence of employees in the board room, or the relative ratio of votes allocated to employees, leads to reduced total, idiosyncratic, or systematic risk. LÄS MER
2. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
3. Implementation of Low-Density Parity-Check codes for 5G NR shared channels
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Channel coding plays a vital role in telecommunication. Low-Density Parity- Check (LDPC) codes are linear error-correcting codes. According to the 3rd Generation Partnership Project (3GPP) TS 38. LÄS MER
4. Reinforcement Learning for Link Adaptation in 5G-NR Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
5. Machine learning based call drop healing in 5G
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Self-Organizing Network (SON) functions include self-configuration, dynamic optimization and self-healing of networks. In the era of 5G, mobile operators are increasingly exploring areas of SON through Machine Learning (ML) techniques. LÄS MER