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- W4367315342 abstract "Modern wireless communication systems rely heavily on multiple antennas and their corresponding signal processing to achieve optimal performance. As 5G and 6G networks emerge, beamforming and beam management become increasingly complex due to factors such as user mobility, a higher number of antennas, and the adoption of elevated frequencies. Artificial intelligence, specifically machine learning, offers a valuable solution to mitigate this complexity and minimize the overhead associated with beam management and selection, all while maintaining system performance. Despite growing interest in AI-assisted beamforming, beam management, and selection, a comprehensive collection of datasets and benchmarks remains scarce. Furthermore, identifying the most-suitable algorithm for a given scenario remains an open question. This article aimed to provide an exhaustive survey of the subject, highlighting unresolved issues and potential directions for future developments. The discussion encompasses the architectural and signal processing aspects of contemporary beamforming, beam management, and selection. In addition, the article examines various communication challenges and their respective solutions, considering approaches such as centralized/decentralized, supervised/unsupervised, semi-supervised, active, federated, and reinforcement learning." @default.
- W4367315342 created "2023-04-29" @default.
- W4367315342 creator A5017715993 @default.
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- W4367315342 date "2023-04-28" @default.
- W4367315342 modified "2023-10-17" @default.
- W4367315342 title "A Literature Survey on AI-Aided Beamforming and Beam Management for 5G and 6G Systems" @default.
- W4367315342 cites W1998354205 @default.
- W4367315342 cites W2015161865 @default.
- W4367315342 cites W2021313302 @default.
- W4367315342 cites W2024081526 @default.
- W4367315342 cites W2024713977 @default.
- W4367315342 cites W2054692642 @default.
- W4367315342 cites W2055728292 @default.
- W4367315342 cites W2055845120 @default.
- W4367315342 cites W2061780717 @default.
- W4367315342 cites W2089106496 @default.
- W4367315342 cites W2101289075 @default.
- W4367315342 cites W2104074482 @default.
- W4367315342 cites W2111953900 @default.
- W4367315342 cites W2119706299 @default.
- W4367315342 cites W2127979711 @default.
- W4367315342 cites W2134383396 @default.
- W4367315342 cites W2156077514 @default.
- W4367315342 cites W2159339877 @default.
- W4367315342 cites W2166625423 @default.
- W4367315342 cites W2272804037 @default.
- W4367315342 cites W2278587467 @default.
- W4367315342 cites W2281970679 @default.
- W4367315342 cites W2342863993 @default.
- W4367315342 cites W2343448572 @default.
- W4367315342 cites W2407842861 @default.
- W4367315342 cites W2523231232 @default.
- W4367315342 cites W2538905011 @default.
- W4367315342 cites W2562947506 @default.
- W4367315342 cites W2567050201 @default.
- W4367315342 cites W2583204725 @default.
- W4367315342 cites W2592699581 @default.
- W4367315342 cites W2612398564 @default.
- W4367315342 cites W2724724053 @default.
- W4367315342 cites W2761444498 @default.
- W4367315342 cites W2769147204 @default.
- W4367315342 cites W2785517842 @default.
- W4367315342 cites W2787894218 @default.
- W4367315342 cites W2788856332 @default.
- W4367315342 cites W2790223875 @default.
- W4367315342 cites W2805022829 @default.
- W4367315342 cites W2805657678 @default.
- W4367315342 cites W2807731816 @default.
- W4367315342 cites W2809895662 @default.
- W4367315342 cites W2851996174 @default.
- W4367315342 cites W2891290013 @default.
- W4367315342 cites W2891787690 @default.
- W4367315342 cites W2893910439 @default.
- W4367315342 cites W2896890603 @default.
- W4367315342 cites W2898434483 @default.
- W4367315342 cites W2905885786 @default.
- W4367315342 cites W2908498346 @default.
- W4367315342 cites W2913291195 @default.
- W4367315342 cites W2914111477 @default.
- W4367315342 cites W2914940294 @default.
- W4367315342 cites W2919115771 @default.
- W4367315342 cites W2940761300 @default.
- W4367315342 cites W2945086780 @default.
- W4367315342 cites W2947007362 @default.
- W4367315342 cites W2951051330 @default.
- W4367315342 cites W2951145066 @default.
- W4367315342 cites W2956193613 @default.
- W4367315342 cites W2958091556 @default.
- W4367315342 cites W2958794544 @default.
- W4367315342 cites W2962716476 @default.
- W4367315342 cites W2962785465 @default.
- W4367315342 cites W2963031347 @default.
- W4367315342 cites W2963170234 @default.
- W4367315342 cites W2963378855 @default.
- W4367315342 cites W2963408914 @default.
- W4367315342 cites W2963630392 @default.
- W4367315342 cites W2963648888 @default.
- W4367315342 cites W2963718307 @default.
- W4367315342 cites W2964589226 @default.
- W4367315342 cites W2966038277 @default.
- W4367315342 cites W2970203070 @default.
- W4367315342 cites W2970380330 @default.
- W4367315342 cites W2973449430 @default.
- W4367315342 cites W2975064910 @default.
- W4367315342 cites W2978827888 @default.
- W4367315342 cites W2982197112 @default.
- W4367315342 cites W2986470677 @default.
- W4367315342 cites W2989801192 @default.
- W4367315342 cites W2991478545 @default.
- W4367315342 cites W2993809815 @default.