SFN Gain Prediction by Neural Networks for Enhancing Layer 2 Coverage in LDM Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2021.3113277
Abstract: LTE-eMBMS systems efficiently deliver multicast/broadcast services using Layered Division Multiplexing (LDM) technology. In a two-layer LDM system, Layer 1, with higher power allocation delivers mobile services, and Layer 2 in a Single Frequency Network scheme… read more here.
Keywords: gain prediction; prediction neural; layer; sfn gain ... See more keywords
From MFN to SFN: Performance Prediction Through Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2021.3132804
Abstract: In the last decade, the transition of digital terrestrial television (DTT) systems from multi-frequency networks (MFNs) to single-frequency networks (SFNs) has become a reality. SFN offers multiple advantages concerning MFN, such as more efficient management… read more here.
Keywords: sfn gain; sfn; machine learning; performance ... See more keywords