Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes

Autor: B. John Oommen, Rebekka Olsson Omslandseter, Lei Jiao

Publikováno v: Pattern Analysis and Applications. 26:751-772

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::97e7385f0664c94ec33587ec6a969352
https://doi.org/10.1007/s10044-023-01131-5

The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality

Autor: Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen

Publikováno v: IEEE Transactions on Neural Networks and Learning Systems

Author's accepted manuscript © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0bcd6967cc899889602a88425c84e8f
https://doi.org/10.1109/tnnls.2022.3226538

User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution

Autor: Rebekka Olsson Omslandseter, Lei Jiao, Yuanwei Liu, B. John Oommen

Publikováno v: Pattern Analysis and Applications

Author's accepted manuscript In this paper, we present a pioneering solution to the problem of user grouping and power allocation in non-orthogonal multiple access (NOMA) systems. The problem is highly pertinent because NOMA is a well-recognized tech

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ce96f9bd0f41f788b913853e93f54cf
https://hdl.handle.net/11250/3056398

Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes

Autor: Lei Jiao, B. John Oommen, Rebekka Olsson Omslandseter

Publikováno v: IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
IFIP Advances in Information and Communication Technology
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.129-142, ⟨10.1007/978-3-030-79150-6_11⟩

Part 4: Automated Machine Learning; International audience; Solving partitioning problems in random environments is a classic and challenging task, and has numerous applications. The existing Object Migration Automaton (OMA) and its proposed enhancem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39fdcfc053b616b8277f720fd7715660
https://doi.org/10.1007/978-3-030-79150-6_11

User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution

Autor: B. John Oommen, Lei Jiao, Rebekka Olsson Omslandseter, Yuanwei Liu

Publikováno v: Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices ISBN: 9783030557881
IEA/AIE

In this paper, we present a pioneering solution to the problem of user grouping and power allocation in Non-Orthogonal Multiple Access (NOMA) systems. There are two fundamentally salient and difficult issues associated with NOMA systems. The first in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82a1119db9d103712f930f1512227a23
https://doi.org/10.1007/978-3-030-55789-8_27