Digital Predistortion Based Experimental Evaluation of Optimized Recurrent Neural Network for 5G Analog Radio Over Fiber Links

Author:

Hadi Muhammad Usman1ORCID,Danyaro Kamaluddeen Usman2ORCID,AlQushaibi Alawi2ORCID,Qureshi Rizwan3ORCID,Alam Tanvir4ORCID

Affiliation:

1. School of Engineering, Ulster University, Belfast, U.K.

2. Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Perak, Malaysia

3. Department of Imaging Physics, MD Anderson Center, The University of Texas, Houston, TX, USA

4. College of Science and Engineering, Hamad bin Khalifa University, Doha, Qatar

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning Methods Towards Analog mm-Wave Systems;2024 24th International Conference on Transparent Optical Networks (ICTON);2024-07-14

2. AI/ML-aided capacity maximization strategies for URLLC in 5G/6G wireless systems: A survey;Computer Networks;2024-07

3. Experimental Analysis of A-RoF Based Optical Communication System for 6G O-RAN Downlink;2024 35th Irish Signals and Systems Conference (ISSC);2024-06-13

4. Reduced Complexity Sequential Digital Predistortion Technique for 5G Applications;Smart Cities;2024-03-18

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