Difference between revisions of "Resource:Seminar"

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{{SemNote
***根据说明修改此页***
|time='''2025-12-05 10:30'''
1. 修改<pre></pre>部分中的时间和地点信息。
|addr=4th Research Building A518
2. 将当前latest seminar部分的code复制到history部分
|note=Useful links: [[Resource:Reading_List|📚 Readling list]]; [[Resource:Seminar_schedules|📆 Schedules]]; [[Resource:Previous_Seminars|🧐 Previous seminars]].
3. 将{{Latest_seminar... 修改为 {{Hist_seminar...，并增加对应的日期信息|date=
4. 填入latest seminar信息，格式如下：
formate for ``Latest seminar''
{{Latest_seminar
|confname=
|link=
|title=
|Speaker=
}}
}}


History的格式如下：
===Latest===
formate for ``History seminar''
 
{{Hist_seminar
|confname=
|link=
|title=
|speaker=
|date=
}}
-->
The reading list could be found [Resource:Reading_List|here].
=== Latest ===
- ''The '''INFOCOM 2020 Cycle''' starts from June 1st and ends at August 1st, during which the seminar is temporarily suspended.''
<pre style="white-space: pre-wrap;">
Time:2019-05-10
Address:B1-612, Main Building, Qingshuihe, UESTC
</pre>
{{Latest_seminar
{{Latest_seminar
|confname=INFOCOM'19
|abstract = Intermediate reasoning or acting steps have successfully improved large language models (LLMs) for handling various downstream natural language processing (NLP) tasks. When applying LLMs for code generation, recent works mainly focus on directing the models to articulate intermediate natural-language reasoning steps, as in chain-of-thought (CoT) prompting, and then output code with the natural language or other structured intermediate steps. However, such output is not suitable for code translation or generation tasks since the standard CoT has different logical structures and forms of expression with the code. In this work, we introduce the universal code (UniCode) as the intermediate representation. It is a description of algorithm steps using a mix of conventions of programming languages, such as assignment operator, conditional operator, and loop. Hence, we collect an instruction dataset UniCoder-Instruct to train our model UniCoder on multi-task learning objectives. UniCoder-Instruct comprises natural-language questions, code solutions, and the corresponding universal code. The alignment between the intermediate universal code representation and the final code solution significantly improves the quality of the generated code. The experimental results demonstrate that UniCoder with the universal code significantly outperforms the previous prompting methods by a large margin, showcasing the effectiveness of the structural clues in pseudo-code.
|link=http://netarchlab.tsinghua.edu.cn/~junbi/INFOCOM2019-1.pdf
|confname =ACL'24
|title=Octans: Optimal Placement of Service Function Chains in Many-Core Systems
|link = https://arxiv.org/abs/2406.16441
|speaker=Yuntong Zhang
|title= UniCoder: Scaling Code Large Language Model via Universal Code
|speaker=Bairong Liu
|date=2025-12-05
}}
}}
{{Latest_seminar
{{Latest_seminar
|confname=INFOCOM'19
|abstract =LoRaWANs are envisioned to connect billions of IoT devices through thousands of physically overlapping yet logically orthogonal channels (termed logical channels). These logical channels hold significant potential for enabling highly concurrent scalable IoT connectivity. Large-scale deployments however face strong interference between logical channels. This practical issue has been largely overlooked by existing works but becomes increasingly prominent as LoRaWAN scales up. To address this issue, we introduce Canas, an innovative gateway design that is poised to orthogonalize the logical channels by eliminating mutual interference. To this end, Canas develops a series of novel solutions to accurately extract the meta-information of individual ultra-weak LoRa signals from the received overlapping channels. The meta-information is then leveraged to accurately reconstruct and subtract the LoRa signals over thousands of logical channels iteratively. Real-world evaluations demonstrate that Canas can enhance concurrent transmissions across overlapping logical channels by 2.3× compared to the best known related works.
|link=https://ieeexplore.ieee.org/abstract/document/8737660
|confname =TMC'25
|title=Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices
|link = https://ieeexplore.ieee.org/abstract/document/11160677
|speaker=Zhe Wang
|title= Resolving Inter-Logical Channel Interference for Large-scale LoRa Deployments
}}
|speaker=Mengyu
=== History ===
|date=2025-12-05
====2019====
{{Hist_seminar
|confname=Tech. Rep.
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Recent progress and further trends on EdgeCloudSim
|speaker=Yunpeng Han
|date=2019-04-19
}}
{{Hist_seminar
|confname=MobiCom'19
|link=https://arxiv.org/pdf/1812.03103.pdf
|title=mD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking
|speaker=Xuan Yang
|date=2019-04-19
}}
{{Hist_seminar
|confname=NSDI'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Correctness and Performance for Stateful Chained Network Functions
|speaker=Yunpeng Han
|date=2019-04-19
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSN
|speaker=Wenjie Huang
|date=2019-04-12
}}
{{Hist_seminar
|confname=SIGCOMM'13
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Developing a Predictive Model of Quality of Experience for Internet Video
|speaker=Yuhong Jiang
|date=2019-04-12
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Brush like a Dentist: Accurate Monitoring of Toothbrushing via Wrist-Worn Gesture Sensing
|speaker=Jingwei Li
|date=2019-03-29
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications
|speaker=Anqi Yang
|date=2019-03-29
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computin
|speaker=Chang Shu
|date=2019-03-22
}}
{{Hist_seminar
|confname=INFOCOM'19
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Interference Recycling: Exploiting Interfering Signals to Enhance Data Transmission
|speaker=Wenliang Mao
|date=2019-03-22
}}
{{Hist_seminar
|confname=COMST'18
|link=https://ieeexplore.ieee.org/document/8430735/
|title=Small Cells in the Forthcoming 5G/IoT: Traffic Modeling and Deployment Overview
|speaker=Anqi Yang
|date=2019-01-04
}}
 
====2018====
{{Hist_seminar
|confname=SIGCOMM'18
|link=https://conferences.sigcomm.org/events/apnet2018/papers/elastic_sketch.pdf
|title=Elastic Sketch: Adaptive and Fast Network-wide Measurements
|speaker=Wenliang Mao
|date=2018-12-21
}}
{{Hist_seminar
|confname=TMC'17
|link=https://ieeexplore.ieee.org/document/7458131/
|title=Performance analysis of mobile data offloading in heterogeneous networks
|speaker=Yunpeng Han
|date=2018-12-06
}}
{{Hist_seminar
|confname=COMST'18
|link=https://ieeexplore.ieee.org/document/8430735/
|title=Small Cells in the Forthcoming 5G/IoT: Traffic Modelling and Deployment Overview
|speaker=Anqi Yang
|date=2018-12-06
}}
{{Hist_seminar
|confname=TMC'17
|link=http://ieeexplore.ieee.org/document/7272098/
|title=A Reliability-Augmented Particle Filter for Magnetic Fingerprinting based Indoor Localization on Sma
|speaker=Wenjie Huang
|date=2018-11-30
}}
{{Hist_seminar
|confname=ToN'18
|link=https://ieeexplore.ieee.org/abstract/document/8519737
|title=A Distributed Computation Offloading Strategy in Small-Cell Networks Integrated With Mobile Edge Com
|speaker=Yuhong Jiang
|date=2018-11-23
}}
{{Hist_seminar
|confname=ICNP'18
|link=https://ieeexplore.ieee.org/abstract/document/8526830
|title=Networking Support For Physical-Layer Cross-Technology Communication
|speaker=Jingwei Li
|date=2018-11-23
}}
{{Hist_seminar
|confname=IoT Journal'18
|link=https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361406
|title=Mobile-Edge Computation Of铿俹ading for  Ultra-Dense IoT Networks
|speaker=Chang Shu
|date=2018-11-16
}}
{{Hist_seminar
|confname=IPSN'17
|link=http://mpc.ece.utexas.edu/media/uploads/publishing/blend_ipsn17.pdf
|title=BLEnd: Practical Continuous Neighbor Discovery for Bluetooth Low Energy
|speaker=Minghang Yang
|date=2018-11-16
}}
{{Hist_seminar
|confname=Topic
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=LoRa Applications (two papers)
|speaker=Xinyuan Huang
|date=2018-10-19
}}
{{Hist_seminar
|confname=TMC'17
|link=https://ieeexplore.ieee.org/abstract/document/8476204
|title=Static and Mobile Target k-Coverage in Wireless Rechargeable Sensor Networks
|speaker=Shuowei Chen
|date=2018-10-19
}}
{{Hist_seminar
|confname=EWSN'17
|link=https://dl.acm.org/citation.cfm?id=3108015
|title=MOR: Multichannel Opportunistic Routing for Wireless Sensor Networks
|speaker=Xuan Yang
|date=2018-10-12
}}
{{Hist_seminar
|confname=TMC'17
|link=https://ieeexplore.ieee.org/abstract/document/7874147
|title= Hermes: Latency Optimal Task Assignment for Resource-constrained Mobile Computing
|speaker=Yunpeng Han
|date=2018-10-12
}}
{{Hist_seminar
|confname=MobiCom'17
|link=https://www.youtube.com/watch?v=e02p7813kN8
|title=FoggyCache: Cross-Device Approximate Computation Reuse
|speaker=Jingwei Li
|date=2018-09-30
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://ieeexplore.ieee.org/abstract/document/8406950/
|title=Knowledge-centric proactive edge caching over mobile content distribution network
|speaker=Anqi Yang
|date=2018-09-21
}}
{{Hist_seminar
|confname=TWC'18
|link=https://ieeexplore.ieee.org/abstract/document/8443421/
|title=Enhancing Video Rate Adaptation with Mobile Edge Computing and Caching in Software-defined Mobile Ne
|speaker=Yuhong Jiang
|date=2018-09-21
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://netlab.dcs.gla.ac.uk/uploads/files/4239e2a52ef02c46fbdccb8ad0de1448.pdf
|title=Dynamic,Latency-Optimal vNF Placement at the Network Edge
|speaker=Latency-Optimal vNF Placement at the Network Edge</a>
|date=Chang Shu}}
{{Hist_seminar
|confname=TMC'17
|link=https://ieeexplore.ieee.org/abstract/document/7572937/
|title=Neighbor Discovery and Rendezvous Maintenance with Extended Quorum Systems for Mobile Applications
|speaker=Minghang Yang
|date=2018-09-14
}}
{{Hist_seminar
|confname=Special Session
|link=http://mobinets.org/seminar/carnival18mns/program.pdf
|title=3-day discussion on recent papers in wireless,networking and mobile
|speaker=networking and mobile</a>
|date=Chang Shu}}
{{Hist_seminar
|confname=IPSN'18
|link=https://dl.acm.org/citation.cfm?id=3207955
|title=Charm: Exploiting Geographical Diversity Through Coherent Combining in Low-Power Wide-Area Networks
|speaker=Weifeng Gao
|date=2018-06-15
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=http://grid.hust.edu.cn/fmliu/vnf-scaling-infocom1
|title=Adaptive VNF Scaling and Flow Routing with Proactive Demand Prediction
|speaker=Chang Shu
|date=2018-06-15
}}
{{Hist_seminar
|confname=ComMag'17
|link=https://ieeexplore.ieee.org/document/8004165/
|title=The Algorithmic Aspects of Network Slicing
|speaker=Yunpeng Han
|date=2018-06-08
}}
{{Hist_seminar
|confname=IPSN'18
|link=https://dl.acm.org/citation.cfm?id=3207954
|title=Continuous Wireless Link Rates for Internet of Things
|speaker=Luqi Yang
|date=2018-06-08
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://www.researchgate.net/publication/325190993
|title=TwinBee: Reliable Physical-Layer Cross-Technology Communication with Symbol-Level Coding
|speaker=Xinyuan Huang
|date=2018-06-01
}}
{{Hist_seminar
|confname=Invited Tech.Rep.
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Report on recent research progress
|speaker=Songfan Li
|date=2018-06-01
}}
{{Hist_seminar
|confname=Special Session
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=Scheduling Algorithms for Resource-Constrained Systems
|speaker=Prof. Dakai Zhu from UTSA
|date=2018-05-28
}}
{{Hist_seminar
|confname=CVPR'17
|link=https://ieeexplore.ieee.org/document/8099631/
|title=Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning
|speaker=Hui Cao
|date=2018-05-21
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=http://people.umass.edu/hcai/
|title=Self-Adapting Quorum-Based Neighbor Discovery in Wireless Sensor Networks
|speaker=Minghang Yang
|date=2018-05-21
}}
{{Hist_seminar
|confname=Special Session
|link=http://mobinets.org/index.php?title=Resource:Seminar
|title=From Location to Activity: Human-centric Sensing and Analytics
|speaker=Prof. Tao Gu
|date=2018-05-11
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=#
|title=LipPass: Lip Reading-based User Authentication on Smartphones Leveraging Acoustic Signals
|speaker=Shuowei Chen
|date=2018-04-27
}}
{{Hist_seminar
|confname=JSAC'17
|link=https://ieeexplore.ieee.org/document/8058433
|title=QoE-Aware and Reliable Traffic Steering for Service Function Chaining in Mobile Networks
|speaker=Zhe Wang
|date=2018-04-27
}}
{{Hist_seminar
|confname=JSAC'17
|link=http://rboutaba.cs.uwaterloo.ca/Papers/Journals/20
|title=Distributed Service Function Chaining
|speaker=Yuntong Zhang
|date=2018-04-13
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://arxiv.org/pdf/1801.05868
|title=Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
|speaker=Zi Wang
|date=2018-04-13
}}
{{Hist_seminar
|confname=INFOCOM'18
|link=https://arxiv.org/pdf/1712.06056.pdf
|title=One-Hop Out-of-Band Control Planes for Low-Power Multi-Hop Wireless Networks
|speaker=Chang Shu
|date=2018-03-16
}}
{{Hist_seminar
|confname=SigComm'16
|link=https://pdfs.semanticscholar.org/8e22/6c40a8c056dc
|title=OpenBox: A Software-De?ned Framework for Developing,Deploying,and Managing Network Functions
|speaker=Deploying
|date=and Managing Network Functions</a>}}
{{Hist_seminar
|confname=SigComm'17
|link=https://pdfs.semanticscholar.org/fa3b/9634b6057b3f
|title=Empowering Low-Power Wide Area Networks in Urban Settings
|speaker=Weifeng Gao
|date=2018-02-02
}}
{{Hist_seminar
|confname=ComMag16
|link=http://ieeexplore.ieee.org/abstract/document/81988
|title=Hypergraph Theory: Applications in 5G Heterogeneous Ultra-Dense Networks
|speaker=Yunpeng Han
|date=2018-01-26
}}
{{Hist_seminar
|confname=TCST'17
|link=http://ieeexplore.ieee.org/abstract/document/82372
|title=Optimal UAV Route Planning for Coverage Search of Stationary Target in River
|speaker=Hui Cao
|date=2018-01-26
}}
 
====2017====
 
{{Hist_seminar
|confname=MobiCom'17
|link=https://www.ntu.edu.sg/home/junluo/documents/Refle
|title=ReflexCode: Coding with Superposed Reflection Light for LED-Camera Communication
|speaker=Xinyuan Huang
|date=2017-12-08
}}
{{Hist_seminar
|confname=Proc. IEEE 2016
|link=http://ieeexplore.ieee.org/document/7423655/
|title=Using Smart Edge IoT Devices for Safer,Rapid Response With Industry IoT Control Operations
|speaker=Rapid Response With Industry IoT Control Operations</a>
|date=Minghang Yang}}
{{Hist_seminar
|confname=INFOCOM'17
|link=http://ieeexplore.ieee.org/document/8057039/
|title=Approximation Algorithms for The NFV Service Distribution Problem
|speaker=Yuntong Zhang
|date=2017-11-24
}}
{{Hist_seminar
|confname=CCS'17
|link=https://endchan.xyz/.media/50cf379143925a3926298f8
|title=DolphinAtack: Inaudible Voice Commands
|speaker=Zifei Zhao
|date=2017-11-24
}}
{{Hist_seminar
|confname=NSDI'17
|link=https://www.usenix.org/conference/nsdi17/technical
|title=Improving User Perceived Page Load Times Using Gaze
|speaker=Yaoyao Pang
|date=2017-11-17
}}
{{Hist_seminar
|confname=CoNEXT'16
|link=https://dl.acm.org/citation.cfm?id=2999602
|title=Flurries: Countless Fine-Grained NFs for Flexible Per-Flow Customization
|speaker=Zhe Wang
|date=2017-11-17
}}
{{Hist_seminar
|confname=MobiCom'17
|link=https://dl.acm.org/citation.cfm?id=3117843
|title=PassiveVLC: Enabling Practical Visible Light Backscatter Communication for Battery-free IoT Applicat
|speaker=Weifeng Gao
|date=2017-11-10
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=http://ieeexplore.ieee.org/document/8057229/
|title=Service Chain Embedding with Maximum Flow in Software-defined Network and Application to The Next-Ge
|speaker=Chang Shu
|date=2017-11-10
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumbe
|title=BAC: Bandwidth-Aware Compression for EfficientLive Migration of Virtual Machines
|speaker=Yunpeng Han
|date=2017-11-03
}}
{{Hist_seminar
|confname=MobiCom'17
|link=https://dl.acm.org/ft_gateway.cfm?id=3117816&ftid=
|title=WEBee: Physical-Layer Cross-Technology Communication via Emulation
|speaker=Shuowei Chen
|date=2017-11-03
}}
{{Hist_seminar
|confname=SigComm'17
|link=http://conferences.sigcomm.org/sigcomm/2017/files/
|title=NFVnice: Dynamic Backpressure and Scheduling for NFV Service Chains
|speaker=Hui Cao
|date=2017-10-27
}}
{{Hist_seminar
|confname=MobiCom'17
|link=https://kabru.eecs.umich.edu/wordpress/wp-content/
|title=Continuous Authentication for Voice Assistants
|speaker=Heng Yuan
|date=2017-10-27
}}
{{Hist_seminar
|confname=TWC'17
|link=http://ieeexplore.ieee.org/document/7929399/
|title=Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Comput
|speaker=Xinyuan Huang
|date=2017-10-20
}}
{{Hist_seminar
|confname=ToN'17
|link=http://ieeexplore.ieee.org/document/7784410/
|title=Chase: Taming concurrent broadcast for flooding in asynchronous duty cycle networks
|speaker=Minghang Yang
|date=2017-10-20
}}
{{Hist_seminar
|confname=TOSN'17
|link=http://www.comp.nus.edu.sg/~mobashir/Resources/Pap
|title=Improving Performance of Synchronous Transmission-Based Protocols Using Capture Effect over Multicha
|speaker=Luqi Yang
|date=2017-10-13
}}
{{Hist_seminar
|confname=SigComm'17
|link=http://conferences.sigcomm.org/sigcomm/2017/files/
|title=Dynamic Service Chaining with Dysco
|speaker=Chang Shu
|date=2017-10-13
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=http://personal.stevens.edu/~ychen6/papers/ER%20Ea
|title=ER: Early Recognition of Inattentive Driving Leveraging Audio Devices on Smartphones
|speaker=Zifei Zhao
|date=2017-09-29
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=https://thawproject.files.wordpress.com/2017/04/li
|title=LightTouch: Securely Connecting Wearables to Ambient Displays with User Intent
|speaker=Yaoyao Pang
|date=2017-09-22
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=https://users.cs.fiu.edu/~pand/publications/17info
|title=Traffic Aware Placement of Interdependent NFV Middleboxes
|speaker=Zhe Wang
|date=2017-09-22
}}
{{Hist_seminar
|confname=SigComm'17
|link=https://people.cs.clemson.edu/~hongxih/papers/SIGC
|title=NFP: Enabling Network Function Parallelism in NFV
|speaker=Yuntong Zhang
|date=2017-09-22
}}
{{Hist_seminar
|confname=NFV-SDN'16
|link=https://www.net.t-labs.tu-berlin.de/~stefan/o4sdi1
|title=Efficient service Graph Embedding: A Practical Approach
|speaker=Chang Shu
|date=2017-09-11
}}
{{Hist_seminar
|confname=SenSys'17
|link=http://www.simonduquennoy.net
|title=Network-wide Consensus Utilizing the Capture Effect in Low-power Wireless Networks
|speaker=Weifeng Gao
|date=2017-09-11
}}
{{Hist_seminar
|confname=INFOCOM'17
|link=https://arxiv.org/abs/1612.06507
|title=Survivable and Bandwidth Guaranteed Embe
|speaker=Yuntong Zhang
|date=2017-06-26
}}
{{Hist_seminar
|confname=MobiCom'15
|link=
|title=Survivable and Bandwidth Guaranteed Embedding of Virtual Clusters in Cloud Data Centers
|speaker=Yuntong Zhang
|date=2017-06-26
}}
{{Hist_seminar
|confname=MobiCom'15
|link=https://www.sigmobile.org/mobicom/2015/papers/p9
|title=Keystroke Recognition Using WiFi Signals
|speaker=Weiwang Li
|date=2017-06-26
}}
}}
{{Resource:Previous_Seminars}}

Latest revision as of 09:25, 5 December 2025

Time: 2025-12-05 10:30
Address: 4th Research Building A518
Useful links: 📚 Readling list; 📆 Schedules; 🧐 Previous seminars.

Latest

  1. [ACL'24] UniCoder: Scaling Code Large Language Model via Universal Code, Bairong Liu
    Abstract: Intermediate reasoning or acting steps have successfully improved large language models (LLMs) for handling various downstream natural language processing (NLP) tasks. When applying LLMs for code generation, recent works mainly focus on directing the models to articulate intermediate natural-language reasoning steps, as in chain-of-thought (CoT) prompting, and then output code with the natural language or other structured intermediate steps. However, such output is not suitable for code translation or generation tasks since the standard CoT has different logical structures and forms of expression with the code. In this work, we introduce the universal code (UniCode) as the intermediate representation. It is a description of algorithm steps using a mix of conventions of programming languages, such as assignment operator, conditional operator, and loop. Hence, we collect an instruction dataset UniCoder-Instruct to train our model UniCoder on multi-task learning objectives. UniCoder-Instruct comprises natural-language questions, code solutions, and the corresponding universal code. The alignment between the intermediate universal code representation and the final code solution significantly improves the quality of the generated code. The experimental results demonstrate that UniCoder with the universal code significantly outperforms the previous prompting methods by a large margin, showcasing the effectiveness of the structural clues in pseudo-code.
  2. [TMC'25] Resolving Inter-Logical Channel Interference for Large-scale LoRa Deployments, Mengyu
    Abstract: LoRaWANs are envisioned to connect billions of IoT devices through thousands of physically overlapping yet logically orthogonal channels (termed logical channels). These logical channels hold significant potential for enabling highly concurrent scalable IoT connectivity. Large-scale deployments however face strong interference between logical channels. This practical issue has been largely overlooked by existing works but becomes increasingly prominent as LoRaWAN scales up. To address this issue, we introduce Canas, an innovative gateway design that is poised to orthogonalize the logical channels by eliminating mutual interference. To this end, Canas develops a series of novel solutions to accurately extract the meta-information of individual ultra-weak LoRa signals from the received overlapping channels. The meta-information is then leveraged to accurately reconstruct and subtract the LoRa signals over thousands of logical channels iteratively. Real-world evaluations demonstrate that Canas can enhance concurrent transmissions across overlapping logical channels by 2.3× compared to the best known related works.

History

|abstract =The rapid expansion of large language models (LLMs) requires the development of extensive GPU clusters, with companies deploying clusters with tens to hundreds of thousands of GPUs. This growth significantly expands the design space for LLM training systems, requiring thorough exploration of different parallelization strategies, communication parameters, congestion control, fabric topology, etc. Current methods require up to 10k simulation experiments to identify optimal configurations, with inadequate exploration leading to significant degradation of training performance. In this paper, we tackle the overlooked problem of efficiently conducting parallel simulation experiments for design space exploration. Our

2024

2023

2022

2021

2020

  • [Topic] [ The path planning algorithm for multiple mobile edge servers in EdgeGO], Rong Cong, 2020-11-18

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