Jiajia Liu
Computer Networks and Communications · IEEE Communications Surveys and Tutorials · 2015–2022
A researcher in the Science corpus: 11 papers; trusts 41 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 131 citations into it; #9,841 of 9,886 by trust here, #1,992 by citations
- Electrical and Electronic Engineering — 99 citations into it; #14,926 of 16,539 by trust here, #5,630 by citations
- Artificial Intelligence — 31 citations into it
- Building and Construction — 13 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Jiajia Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey G. Andrews
- Chia-Hao Yu
- David B. Johnson
- Carlo Caini
- Nei Kato
- Klaus Doppler
- Vikram Chandrasekhar
- David W. Matolak
- Ilker Bekmezci
- Gary William Flake
Who trusts Jiajia Liu overall
Papers from Jiajia Liu's perspective
Ordered by how strongly the researchers Jiajia Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Device-to-device communication as an underlay to LTE-advanced networks (IEEE Communications Magazine)
- Deep Learning
- Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
- Wireless communications with unmanned aerial vehicles: opportunities and challenges (IEEE Communications Magazine)
- Femtocell networks: a survey (IEEE Communications Magazine)
- On the Performance of Device-to-Device Underlay Communication with Simple Power Control (IEEE Vehicular Technology Conference)
- Energy-Efficient UAV Communication With Trajectory Optimization (IEEE Transactions on Wireless Communications)
- Survey of Important Issues in UAV Communication Networks (IEEE Communications Surveys and Tutorials)
- An Introduction to Deep Learning for the Physical Layer
- Massive MIMO for next generation wireless systems (IEEE Communications Magazine)
Their papers
- Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches (2020) — 499 citations
- Ten Challenges in Advancing Machine Learning Technologies toward 6G (2020) — 347 citations
- Device-to-Device Communication in LTE-Advanced Networks: A Survey (2015) — 623 citations
- Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence (2018) — 353 citations
- Collaborative Computation Offloading for Multiaccess Edge Computing Over Fiber–Wireless Networks (2018) — 315 citations
- Networking and Communications in Autonomous Driving: A Survey (2019) — 450 citations
- Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach (2019) — 373 citations
- Task Offloading in Vehicular Edge Computing Networks: A Load-Balancing Solution (2020) — 331 citations
- A Survey on Space-Air-Ground-Sea Integrated Network Security in 6G (2022) — 461 citations
- AI-Enhanced Offloading in Edge Computing: When Machine Learning Meets Industrial IoT (2019) — 162 citations
- Space-Air-Ground Integrated Network: A Survey (2018) — 1,106 citations