Difference between revisions of "Resource:Paper Carnival 2020"
From MobiNetS
| (7 intermediate revisions by 3 users not shown) | |||
| Line 1: | Line 1: | ||
<!-- | |||
This page shows the first seminar in the 19-20 semester. | This page shows the first seminar in the 19-20 semester. | ||
Please share your comments and ideas in the [[Resource talk:Paper Carnival 2019|'''discussion board''']]! | Please share your comments and ideas in the [[Resource talk:Paper Carnival 2019|'''discussion board''']]! | ||
--> | |||
=== LoRa & IoT=== | === LoRa & IoT=== | ||
2020/09/24 | 2020/09/24 | ||
| Line 12: | Line 14: | ||
* [https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9155474&casa_token=T8-ez_xiLsEAAAAA:T6YfQtyjUyDJMRMK7ZVESmnvCK8Tt98CvGtanXgepyat_wwbBvygKM-lmH7T5Y8lO4b8HOgKJ-zl&tag=1 S-MAC: Achieving High Scalability via Adaptive Scheduling in LPWAN, INFOCOM’20] | * [https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9155474&casa_token=T8-ez_xiLsEAAAAA:T6YfQtyjUyDJMRMK7ZVESmnvCK8Tt98CvGtanXgepyat_wwbBvygKM-lmH7T5Y8lO4b8HOgKJ-zl&tag=1 S-MAC: Achieving High Scalability via Adaptive Scheduling in LPWAN, INFOCOM’20] | ||
* '''Measurement study''' | * '''Measurement study''' | ||
* [https://search.proquest.com/openview/ba07a6feaa2aef84cb3b4177e8c7e707/1?cbl=18750&diss=y&pq-origsite=gscholar Joltik: Enabling Energy-Efficient "Future-Proof" Analytics on Low-Power Wide-Area Networks, MobiCom’20] | * [https://search.proquest.com/openview/ba07a6feaa2aef84cb3b4177e8c7e707/1?cbl=18750&diss=y&pq-origsite=gscholar Joltik: Enabling Energy-Efficient "Future-Proof" Analytics on Low-Power Wide-Area Networks, MobiCom’20] | ||
| Line 34: | Line 35: | ||
====Rechargeable WSNs, 15:30-17:00, [[Member:Wenjie_Huang|黄文杰]]==== | ====Rechargeable WSNs, 15:30-17:00, [[Member:Wenjie_Huang|黄文杰]]==== | ||
* [https://ieeexplore.ieee.org/abstract/document/9155262/ An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks, INFOCOM’20] | * [https://ieeexplore.ieee.org/abstract/document/9155262/ An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks, INFOCOM’20] | ||
* [https://ieeexplore.ieee.org/abstract/document/9155274 Maximizing Charging Utility with Obstacles through Fresnel Diffraction Model, | * [https://ieeexplore.ieee.org/abstract/document/9155274 Maximizing Charging Utility with Obstacles through Fresnel Diffraction Model, INFOCOM’20] | ||
* [https://ieeexplore.ieee.org/abstract/document/8737502/ Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSNs, | * [https://ieeexplore.ieee.org/abstract/document/8737502/ Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSNs, INFOCOM’19] | ||
* [https://ieeexplore.ieee.org/abstract/document/8737509/ Collaborated Tasks-driven Mobile Charging and Scheduling A Near Optimal Result, | * [https://ieeexplore.ieee.org/abstract/document/8737509/ Collaborated Tasks-driven Mobile Charging and Scheduling A Near Optimal Result, INFOCOM’19] | ||
* [https://ieeexplore.ieee.org/abstract/document/8737589/ Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks, | * [https://ieeexplore.ieee.org/abstract/document/8737589/ Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks, INFOCOM’19] | ||
* [https://ieeexplore.ieee.org/abstract/document/9155356/ Placing Wireless Chargers with Limited Mobility, | * [https://ieeexplore.ieee.org/abstract/document/9155356/ Placing Wireless Chargers with Limited Mobility, INFOCOM’20] | ||
* '''Age-of-Information Driven''' | * '''Age-of-Information Driven''' | ||
* [https://ieeexplore.ieee.org/abstract/document/9155514/ AoI Scheduling with Maximum Thresholds, | * [https://ieeexplore.ieee.org/abstract/document/9155514/ AoI Scheduling with Maximum Thresholds, INFOCOM’20] | ||
* [https://ieeexplore.ieee.org/abstract/document/9079825/ Age-Optimal Mobile Elements Scheduling for Recharging and Data Collection in Green IoT, | * [https://ieeexplore.ieee.org/abstract/document/9079825/ Age-Optimal Mobile Elements Scheduling for Recharging and Data Collection in Green IoT, INFOCOM’20] | ||
* [https://ieeexplore.ieee.org/abstract/document/9155444/ AoI and Throughput Tradeoffs in Routing-aware Multi-hop Wireless Networks, | * [https://ieeexplore.ieee.org/abstract/document/9155444/ AoI and Throughput Tradeoffs in Routing-aware Multi-hop Wireless Networks, INFOCOM’20] | ||
===Edge computing=== | ===Edge computing=== | ||
| Line 49: | Line 50: | ||
* '''PhD Thesis Briefing: Task offloading in Multi-access Edge Computing''' (within15min) | * '''PhD Thesis Briefing: Task offloading in Multi-access Edge Computing''' (within15min) | ||
* '''Topic: VNF/SFC modeling and deployment at Edge''' | * '''Topic: VNF/SFC modeling and deployment at Edge''' | ||
* [https:// | * [https://dl.acm.org/doi/abs/10.1145/3387514.3405868 Contention aware performance prediction for virtualized network functions, SigComm’20] | ||
* [https://dl.acm.org/doi/abs/10.1145/3387514.3405863 Fault-tolerant service function chaining, SigComm’20] | * [https://dl.acm.org/doi/abs/10.1145/3387514.3405863 Fault-tolerant service function chaining, SigComm’20] | ||
* [https://ieeexplore.ieee.org/abstract/document/9155394/ Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-adapting Scheme, INFOCOM’20] | * [https://ieeexplore.ieee.org/abstract/document/9155394/ Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-adapting Scheme, INFOCOM’20] | ||
| Line 66: | Line 67: | ||
* [https://ieeexplore.ieee.org/document/9155397 VFC-Based Cooperative UAV Computation Task Offloading for Post-disaster Rescue, INFOCOM’20] | * [https://ieeexplore.ieee.org/document/9155397 VFC-Based Cooperative UAV Computation Task Offloading for Post-disaster Rescue, INFOCOM’20] | ||
* [https://ieeexplore.ieee.org/document/9163048 Latency and Reliability Oriented Collaborative Optimization for Multi-UAV Aided Mobile Edge Computing System, INFOCOM’20] | * [https://ieeexplore.ieee.org/document/9163048 Latency and Reliability Oriented Collaborative Optimization for Multi-UAV Aided Mobile Edge Computing System, INFOCOM’20] | ||
* [https:// | * [https://arxiv.org/abs/2002.11850 Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing, INFOCOM’20] | ||
====Edge offloading, 15:30-17:00, [[Member:Shiqi_Hu|胡诗琦]]==== | ====Edge offloading, 15:30-17:00, [[Member:Shiqi_Hu|胡诗琦]]==== | ||
Latest revision as of 10:59, 23 September 2020
LoRa & IoT
2020/09/24
Opening
Recent Advances in LoRa, 9:00-10:30, 高伟峰
- 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
- Joltik: Enabling Energy-Efficient "Future-Proof" Analytics on Low-Power Wide-Area Networks, MobiCom’20
Wireless: LoRa transmission&WiFi Code, 10: 30-12:00, 毛文量
- 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 systems, 14:00-15:30, 冯思林 王雄
- 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
Rechargeable WSNs, 15:30-17:00, 黄文杰
- An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks, INFOCOM’20
- Maximizing Charging Utility with Obstacles through Fresnel Diffraction Model, INFOCOM’20
- Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSNs, INFOCOM’19
- Collaborated Tasks-driven Mobile Charging and Scheduling A Near Optimal Result, INFOCOM’19
- Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks, INFOCOM’19
- Placing Wireless Chargers with Limited Mobility, INFOCOM’20
- Age-of-Information Driven
- AoI Scheduling with Maximum Thresholds, INFOCOM’20
- Age-Optimal Mobile Elements Scheduling for Recharging and Data Collection in Green IoT, INFOCOM’20
- AoI and Throughput Tradeoffs in Routing-aware Multi-hop Wireless Networks, INFOCOM’20
Edge computing
2019/09/25
VNF modeling and deployment, 9:30-10:30, 舒畅
- PhD Thesis Briefing: Task offloading in Multi-access Edge Computing (within15min)
- 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
Service Caching, 10:30-12:00, 丛荣 莫继为
- Collaborate or Separate? Distributed Service Caching in Mobile Edge Clouds, INFOCOM’20
- Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing, INFOCOM’20
- HotDedup: Managing Hot Data Storage at Network Edge through Optimal Distributed Deduplication, INFOCOM’20
- Computation Scheduling for Wireless Powered Mobile Edge Computing Networks, INFOCOM’20
Mobility+Edge, 14:00-15:30, 付璐炜 邓恒玮
- Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning, INFOCOM’20
- VFC-Based Cooperative UAV Computation Task Offloading for Post-disaster Rescue, INFOCOM’20
- Latency and Reliability Oriented Collaborative Optimization for Multi-UAV Aided Mobile Edge Computing System, INFOCOM’20
- Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing, INFOCOM’20
Edge offloading, 15:30-17:00, 胡诗琦
- A comprehensive review of task offloading: Cloud and Edge
- Delay-Optimal Distributed Edge Computing in Wireless Edge Networks, INFOCOM’20
- Offloading Dependent Tasks in Mobile Edge Computing with Service Caching, INFOCOM’20
- Fog-based Data Offloading in Urban IoT Scenarios, INFOCOM’19
IoT/Edge Sys, 5G frontiers
2019/09/26
Learning, 9:00-10:00, 张杰 王晓松
- Network-Aware Optimization of Distributed Learning for Fog Computing, INFOCOM’20
- Server-driven video streaming for deep learning inference, INFOCOM’20
- Informative Path Planning for Mobile Sensing with Reinforcement Learning, INFOCOM’20
IoT&edge, 10:00-11:00, 刘长胜
- A Fast Hybrid Data Sharing Framework for Hierarchical Mobile Edge Computing, INFOCOM’20
- Firecracker: Lightweight Virtualization for Serverless Applications, NSDI’20
IoT&edge, 11:00-11:30, 李姜辛 张健飞
- CarMap: Fast 3D Feature Map Updates for Automobiles, NSDI’20
- AccelTCP: Accelerating Network Applications with Stateful TCP Offload, NSDI’20
5G Wireless, 14:00-15:00, 刘江澍 郑凯文
- Understanding operational 5G: A first measurement study on its coverage, performance and energy consumption, SIGCOMM’20
- Beyond 5G reliable extreme mobility management, SIGCOMM’20