A Noise-Adaptive Machine Learning Framework for Optimizing User Grouping in Dynamic IM-OFDMA Systems
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2024.3455243
Abstract: This paper addresses the challenge of optimizing user grouping in Index Modulation-based Orthogonal Frequency-Division Multiple Access (IM-OFDMA) systems within dynamic and stochastic noise environments. Utilizing the eXtreme Gradient Boosting (XGBoost) machine learning algorithm, we devised… read more here.
Keywords: ofdma systems; machine learning; user grouping; optimizing user ... See more keywords
Finite-SNR Diversity-Multiplexing Tradeoff for Network Coded Cooperative OFDMA Systems
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2016.2633354
Abstract: Network-coded cooperation (NCC) is an effective method to improve the throughput efficiency in cooperative wireless networks. The combined use of orthogonal frequency division multiplexing (OFDM) with NCC has been further studied in the literature to… read more here.
Keywords: network coded; diversity; ncc ofdma; finite snr ... See more keywords