Resource: Paper Carnival 2020

This page shows the first seminar in the 19-20 semester. Please share your comments and ideas in the discussion board!

2020/09/25 LoRa & IoT!

Opening

• From students to researchers – Producing knowledge in the latest topics!, Zhiwei Zhao

LoRa (1)

• 9:00-10:30, Recent Advances in LoRa, Weifeng Gao
  • PHY-layer
  • Nephalai: Towards LPWAN C-RAN with Physical Layer Compression, MobiCom’20
  • WiChronos : Energy-Efficient Modulation for Long-Range, Large-Scale Wireless Networks, MobiCom’20
  • MAC-layer
  • LMAC: Efficient Carrier-Sense Multiple Access for LoRa, MobiCom’20
  • S-MAC: Achieving High Scalability via Adaptive Scheduling in LPWAN, INFOCOM’20
  • Measurement study
  • Understanding Power Consumption of NB-IoT in the Wild: Tool and Large-scale Measurement, MobiCom’20
  • Joltik: Enabling Energy-Efficient "Future-Proof" Analytics on Low-Power Wide-Area Networks, MobiCom’20
  • Low-Power Wide-Area Networks: Connect, Sense and Secure, IPSN’20

LoRa(2)

• 10: 30-12:00, Wireless: LoRa transmission&WiFi Code, Wenliang Mao
  • LoRa Data Transfer
  • CoLoRa: Enabling Multi-Packet Reception in LoRa, INFOCOM’20
  • Online Concurrent Transmissions at LoRa Gateway, INFOCOM’20
  • LiteNap: Downclocking LoRa Reception, INFOCOM’20
  • DyLoRa: Towards Energy Efficient Dynamic LoRa Transmission Control, INFOCOM’20
  • Wireless frontiers: 5G and WLAN
  • Comb Decoding towards Collision-Free WiFi, NSDI’20
  • BeaconRider: Opportunistic Sharing of Beacon Air-Time in Densely Deployed WLANs, ICNP’19

LoRa(3)

• 14:00-15:30, LoRa systems, Silin_Feng Xiong Wang
  • Quick (and Dirty) Aggregate Queries on Low-Power WANs, IPSN’20
  • SateLoc: A Virtual Fingerprinting Approach to Outdoor LoRa Localization using Satellite Images, IPSN’20
  • LoRaBee: Cross-Technology Communication from LoRa to ZigBee via Payload Encoding, ICNP’20
  • Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization ICNP’20
  • *Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions INFOCOM’20

• 15:30-17:00, Mobile Scheduling 1, Wenjie Huang
  • Rechargeable WSNs
  • An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks, INFOCOM’20
  • Maximizing Charging Utility with Obstacles through Fresnel Diffraction Model, INFOCPM’20
  • Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSNs, INFOCPM’19
  • Collaborated Tasks-driven Mobile Charging and Scheduling A Near Optimal Result, INFOCPM’19
  • Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks, INFOCPM’19
  • Placing Wireless Chargers with Limited Mobility, INFOCPM’20
  • Age-of-Information Driven
  • AoI Scheduling with Maximum Thresholds, INFOCPM’20
  • Age-Optimal Mobile Elements Scheduling for Recharging and Data Collection in Green IoT, INFOCPM’20
  • AoI and Throughput Tradeoffs in Routing-aware Multi-hop Wireless Networks, INFOCPM’20

2019/09/26 Edge computing!

Edge computing(1)

• 9:30-10:30, VNF deployment, Chang Shu
  • PhD Thesis Briefing: Task offloading in Multi-access Edge Computing
  • Topic: VNF/SFC modeling and deployment at Edge
  • Contention aware performance prediction for virtualized network functions, SigComm’20
  • Fault-tolerant service function chaining, SigComm’20
  • Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-adapting Scheme, INFOCOM’20
  • Latency-aware VNF Chain Deployment with Efficient Resource Reuse at Network Edge, INFOCOM’20
  • Online Placement of Virtual Machines with Prior Data, INFOCOM’20
  • PAM & PAL: Policy-Aware Virtual Machine Migration and Placement in Dynamic Cloud Data Centers, INFOCOM’20

Offloading (2)

• 10:35-11:30, Offloading in Fog & D2D, Yunpeng Han
  • D2D Offloading for Statistical QoS Provisionings Over 5G Multimedia Mobile Wireless Networks, INFOCOM’19
  • Fog-based Data Offloading in Urban IoT Scenarios, INFOCOM’19

Federated learning

• 14:00-15:30, Federated learning, Yuhong Jiang
  • Federated Learning over Wireless Networks: Optimization Model Design and Analysis, INFOCOM’19
  • A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks, INFOCOM’19
  • DÏoT: A Federated Self-learning Anomaly Detection System for IoT, ICDCS’19

VR-Streaming

• 15:35-16:35, VR Streaming, Jingwei Li
  • Pano: Optimizing 360 Video Streaming with a Better Understanding of Quality Perception, SigComm’19
  • DRL360: 360-degree Video Streaming with Deep Reinforcement Learning, INFOCOM’19
  • Beyond QoE: Diversity Adaption in Video Streaming at the Edge, ICDCS’19

Path programming

• 16:40-17:40, Path programming, Wenjie Huang
  • Route Prediction for Instant Delivery, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
  • Experience on urban pick-up scheduling

2019/09/30 Mobile and wireless for IoT

Mobile services

• 9:30-10:30, A Millimeter Wave Network for Billions of Things, SigComm’19, Jiwei Mo
• 10:30-11:30, On Optimal Neighbor Discovery, SigComm’19, Silin Feng

System level support for IoT

• 14:00-15:00,CapeVM: A Safe and Fast Virtual Machine for Resource-Constrained Internet-of- Things Devices, SenSys’18, Changsheng Liu
• 15:00-16:00,VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration, MobiCom’19, Anqi Yang

Tutorial (3)

• 16:20-17:20, Low-power IoT programming with TinyOS/TelosB testbed, Minghang Yang
• 17:20-18:00, Review and idea discussion

Dinner

• 18:30-20:30, TBD