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| Paper Type | : | Research Paper |
| Title | : | An Effective Investigation On Deep Learning Based CSI-Driven Adaptive Handover Among OFDM, FBMC And Noma For QOS Enhancement In Next-Generation Wireless Networks |
| Country | : | India |
| Authors | : | Rinkita Shah || Dr. Reeta Pawar || Dr. Varkuti Kumara Swamy |
 |
: | 10.9790/4200-16023036  |
ABSTRACT: Machine Learning and Deep Learning are transforming modern wireless communications. With the increasing number of users in cellular networks and need for increased bandwidth requirement owing to multimedia applications, the choice and utilization of effective multiplexing techniques for 6G onwards has become mandatory. Orthogonal Frequency Division Multiplexing (OFDM), Filter Bank Multicarrier (FBMC) and Non....
Keywords - Wireless Communications, Machine Learning, Software Defined Networks, Channel State Information (CSI)
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