ScholarWorks@Sookmyung Women's University: Lim, Yu Jin

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Lim, Yu Jin (임유진)

공과대학 (인공지능공학부)

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Tel 02-2077-7305
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Keyword

reinforcement learning:7||mobile edge computing:4||5G:4||Qlearning:4||deep reinforcement learning:4||모바일 엣지 컴퓨팅:3||오프로딩:3||deep Qnetwork:3||HCRAN:3||Mobile Edge Computing:3||throughput:3||Industrial Internet of Things:3||MEC:2||유전 알고리즘:2||vehicular edge computing:2||Cooperative MEC:2||Load balancing:2||XAI:2||CNN:2||차량 엣지 컴퓨팅:2||power control:2||Reinforcement Learning:2||강화 학습:2||강화학습:2||intelligent traffic signal control:2||태스크 마이그레이션:2||LTEA networks:2||Task Migration:2||load balancing:2||task migration:2||Edge Caching:2||long shortterm memory:2||traffic signal control:2||Offloading:2||Access class barring:2||LIME:2||DQN:2||LTEA:2||MultiAgent System:1||Multiaccess edge computing:1||Multiagent system:1||Overload Control:1||Proactive Caching:1||QLearning:1||RRH clustering:1||RRH switching:1||Random Access:1||Random access:1||Randomaccess Channel:1||SUMO:1||Smart city:1||Talmud rule:1||Task Offloading:1||Task Partitioning:1||Task QoS:1||Task migration:1||Task partitioning:1||Traffic congestion:1||Traffic signal control:1||User Mobility:1||User Similarity:1||V2X communication:1||Vehicular Edge Computing:1||actorcritic method:1||ant colony optimization:1||autonomous vehicle:1||bioinspired approach:1||capacity:1||cooperative computing:1||deep Qlearning:1||deep deterministic policy gradient:1||dependent task:1||distributed consensus:1||distributed control:1||dynamic programming:1||edge caching:1||electric vehicle (EV):1||energy consumption:1||energy efficiency:1||federated deep reinforcement learning:1||federated learning:1||handover:1||heterogeneous cloud radio access network:1||intercell signaling model:1||internet of things:1||knowledge transfer:1||lexicographically minimum:1||load shedding:1||machine learning:1||machinetype communication:1||microgrid (MG):1||mobility prediction:1||mode selection:1||multiaccess edge computing:1||multiagent system (MAS):1||multiintersection:1||multiobjective optimization:1||offloading:1||offloading decision:1||online resource allocation:1||optimization algorithm:1||particle swarm optimization:1||random access:1||remote radio head switching operation:1||resource efficiency:1||resource reservation:1||service migration:1||single intersection:1||task arrival prediction:1||task offloading:1||task partitioning:1||task redirection:1||traffic flow:1||trajectory planning:1||transfer learning:1||travel time:1||unmanned aerial vehicle:1||user mobility:1||vehicle clustering:1||vehicle control:1||vehicle routing control:1||vehicletovehicle communication:1||vehicular mobility:1||vehicular network:1||vehicular networks:1||vehicular social network:1||waiting time:1||감정인식:1||과부하 관리:1||교통신호 제어:1||궤도계획:1||기계 학습:1||기지국 상태 조정:1||기지국 전원 제어:1||기지국 클러스터링:1||다중 목적 최적화:1||다중 에이전트 시스템, Microgrid:1||대기 시간:1||데이터 불균형:1||마이그레이션:1||마이크로그리드:1||부하차단:1||분산 방식:1||사물인터넷:1||사용자 유사도:1||사용자 이동성:1||사전 캐싱:1||산업용 사물인터넷:1||서비스 마이그레이션:1||셀룰러 네트워크:1||엣지 캐싱:1||입자 군집 최적화:1||자원예약:1||전이 학습:1||접근 관리:1||종속적 태스크:1||차량 제어:1||처리량:1||캐시 교체 정책:1||콘텐츠 캐싱:1||큐러닝:1||클라우드 컴퓨팅:1||태스크 오프로딩:1||태스크 파티셔닝:1||혼잡:1||ACO기법:1||Access Management:1||ActorCritic 기법:1||Bankruptcy problem:1||Biased Data:1||Cell activation:1||Cellular Network:1||Cloud Computing:1||Computation Offloading:1||Congestion:1||Content Cache Replacement Policy:1||Contents Caching:1||D2D communication:1||DP기법:1||DevicetoDevice (D2D) Communication:1||EV routing:1||Emotional Recognition:1||Energy Efficiency:1||Genetic Algorithm:1||Genetic algorithm:1||Heterogeneous Networks:1||Internet gateway:1||LTE:1||Load Shedding:1||Load shedding:1||Lyapunov optimization:1||MEC energy saving:1||MECS sleep control:1||MTC:1||MTC 통신:1||MachineType Communications:1||Machinetype Communication:1||Machinetype communication:1||Microgrid:1||Migration:1||Minority Game:1||Mobile ad hoc network:1||

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Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127

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