2022 Fiscal Year Research-status Report
Adaptive Machine Learning Algorithms for mmWave Communications in Beyond 5G and 6G Systems
| Project/Area Number |
21K14162
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| Research Institution | Institute of Physical and Chemical Research |
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Principal Investigator |
Hashima Sherief 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員 (00865462)
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | RIS / UAV-mounted RIS / RIS relaying / Hybrid band RF/VLC / Load Balancing / MAB / PHE / RUCB, ETC |
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| Outline of Annual Research Achievements |
Hybrid Band RF/VLC optimization problem was formulated using budget constrained MABs and comparsion between different MAB solutions were conducted. Also, we proposed algorithm for UAV mounted RIS trajectory planning that maximizes the data rate and minimizes UAV energy consumption. Besides, we applied sophisticated MAB techniques (PHE and MOTS) to the same problem with superior performance outcome.
Dual objective bandits were implemented to RIS relay probing to maximize the BS-user NLOS linkage data rate and minimize the beaform training time.The problem of mmWave RIS-user association in muliple RIS multi-user scenarios is considered to maximize users’ achievable data rates while maintaining load balance among the deployed RIS boards.Three centralized MP-MAB algorithms with arms’ load alancing, coming from the family of upper confidence bound (UCB), namely UCB1-LB, Kullback-Leibler UCB-LB (KLUCB-LB), and minimax optimal stochastic strategy-LB (MOSS-LB), are proposed to address the formulated bandit game and to compare their performance.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Still more 6G based problems need further investigation and formulations such as UAV-NOMA scenario, Metaverse, V2I, Multiobjective optimization problems, etc. Also, the experimental part is still under implementation to validate theoritcal outcomes.
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| Strategy for Future Research Activity |
Multi hop RIS relay probing problem will be under investigation.
we will further investigate the current metaverse problems and find suitable online formulations and algorithm solutions.
In vehicular communications, we will find better online solutions for over the air software updates for the vehicles using V2I scenarios.
Hence, we will deploy theoritically guranteed algorithms for these problems
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| Causes of Carryover |
We transferred the amount for experimental part operation and future conference registerations as we couldnot travel abroad last three years due to Covid 19 Pandamic and emergency shutdown. we will use the money in attending scientific conferences, doing experimental setup, and funding open access journal publication.
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