More Web Proxy on the site http://driver.im/

research-article

Challenge: COSMOS: A city-scale programmable testbed for experimentation with advanced wireless

Authors:

Dipankar Raychaudhuri,

Thanasis Korakis,

Jakub Kolodziejski,

Michael Sherman,

Harish Krishnaswamy,

Sumit Maheshwari,

Panagiotis Skrimponis,

Craig GuttermanAuthors Info & Claims

MobiCom '20: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

Article No.: 14, Pages 1 - 13

https://doi.org/10.1145/3372224.3380891

Published: 17 April 2020 Publication History

Abstract

This paper focuses on COSMOS - <u>C</u>loud enhanced <u>O</u>pen <u>S</u>oftware defined <u>MO</u>bile wireless testbed for city-<u>S</u>cale deployment. The COSMOS testbed is being deployed in West Harlem (New York City) as part of the NSF Platforms for Advanced Wireless Research (PAWR) program. It will enable researchers to explore the technology "sweet spot" of ultra-high bandwidth and ultra-low latency in the most demanding real-world environment. We describe the testbed's architecture, the design and deployment challenges, and the experience gained during the design and pilot deployment. Specifically, we describe COSMOS' computing and network architectures, the critical building blocks, and its programmability at different layers. The building blocks include software-defined radios, 28 GHz millimeter-wave phased array modules, optical transport network, core and edge cloud, and control and management software. We describe COSMOS' deployment phases in a dense urban environment, the research areas that could be studied in the testbed, and specific example experiments. Finally, we discuss our experience with using COSMOS as an educational tool.

References

[1]

Cisco. The Zettabyte era: Trends and analysis. https://www.cisco.eom/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/white-paper-c11-738085.html, 2018.

[2]

Jeffrey G Andrews, Stefano Buzzi, Wan Choi, Stephen V Hanly, Angel Lozano, Anthony CK Soong, and Jianzhong Charlie Zhang. What will 5G be? IEEE J. Sel. Areas Commun., 32(6):1065--1082, 2014.

[3]

Cheng-Xiang Wang, Fourat Haider, Xiqi Gao, Xiao-Hu You, Yang Yang, Dongfeng Yuan, Hadi M Aggoune, Harald Haas, Simon Fletcher, and Erol Hepsaydir. Cellular architecture and key technologies for 5G wireless communication networks. IEEE Commun. Mag., 52(2):122--130, 2014.

[4]

Dipankar Raychaudhuri and Narayan B Mandayam. Frontiers of wireless and mobile communications. Proc. IEEE, 100(4):824--840, 2012.

[5]

NGMN-Alliance. 5G white paper. Next generation mobile networks, white paper, 2015.

[6]

Ericsson. 5G radio access. https://www.ericsson.com/assets/local/publications/white-papers/wp-5g.pdf, 2016.

[7]

Qualcomm. 5G: The fabric for society. https://www.qualcomm.com/media/documents/files/5g-vision-use-cases.pdf, 2018.

[8]

Mansoor Shafi, Andreas F Molisch, Peter J Smith, Thomas Haustein, Peiying Zhu, Prasan De Silva, Fredrik Tufvesson, Anass Benjebbour, and Gerhard Wunder. 5G: A tutorial overview of standards, trials, challenges, deployment, and practice. IEEE J. Sel. Areas Commun., 35(6):1201--1221, 2017.

[9]

Mamta Agiwal, Abhishek Roy, and Navrati Saxena. Next generation 5G wireless networks: A comprehensive survey. Commun. Surveys Tuts., 18(3):1617--1655, 2016.

[10]

Kevin Boos, David Chu, and Eduardo Cuervo. Flashback: Immersive virtual reality on mobile devices via rendering memoization. In Proc. ACM MobiSys'16, 2016.

Digital Library

[11]

Luyang Liu, Hongyu Li, and Marco Gruteser. Edge assisted real-time object detection for mobile augmented reality. In Proc. ACM MobiCom'19, 2019.

Digital Library

[12]

Eduardo Cuervo, Krishna Chintalapudi, and Manikanta Kotaru. Creating the perfect illusion: What will it take to create life-like virtual reality headsets? In Proc. ACM HotMobile'18, 2018.

Digital Library

[13]

Luyang Liu, Ruiguang Zhong, Wuyang Zhang, Yunxin Liu, Jiansong Zhang, Lintao Zhang, and Marco Gruteser. Cutting the cord: Designing a high-quality untethered VR system with low latency remote rendering. In Proc. ACM MobiSys'18, 2018.

Digital Library

[14]

Omid Abari, Dinesh Bharadia, Austin Duffield, and Dina Katabi. Enabling high-quality untethered virtual reality. In Proc. USENIX NSDI'17, 2017.

Digital Library

[15]

Sumit Maheshwari, Dipankar Raychaudhuri, Ivan Seskar, and Francesco Bronzino. Scalability and performance evaluation of edge cloud systems for latency constrained applications. In Proc. IEEE/ACM Symposium on Edge Computing (SEC), 2018.

[16]

Md Whaiduzzaman, Mehdi Sookhak, Abdullah Gani, and Rajkumar Buyya. A survey on vehicular cloud computing. J. Network and Computer Applications, 40: 325--344, 2014.

[17]

Kengo Sasaki, Naoya Suzuki, Satoshi Makido, and Akihiro Nakao. Vehicle control system coordinated between cloud and mobile edge computing. In Proc. IEEE SICE'16, 2016.

[18]

Platforms for advanced wireless research (PAWR). https://www.advancedwireless.org/, 2019.

[19]

PAWR: Why now? https://www.advancedwireless.org/why-now/, 2019.

[20]

Cloud enhanced open software defined mobile wireless testbed for city-scale deployment (COSMOS). https://cosmos-lab.org/, 2019.

[21]

Liangping Ma, Xiaofeng Han, and Chien-Chung Shen. Dynamic open spectrum sharing MAC protocol for wireless ad hoc networks. In Proc. IEEE DySPAN'05, 2005.

[22]

Zhu Ji and KJ Ray Liu. Cognitive radios for dynamic spectrum access-dynamic spectrum sharing: A game theoretical overview. IEEE Commun. Mag., 45(5):88--94, 2007.

Digital Library

[23]

Sudeep Bhattarai, Jung-Min Jerry Park, Bo Gao, Kaigui Bian, and William Lehr. An overview of dynamic spectrum sharing: Ongoing initiatives, challenges, and a roadmap for future research. IEEE Trans. Cognitive Commun. Netw., 2(2):110--128, 2016.

[24]

Theodore S Rappaport, Shu Sun, Rimma Mayzus, Hang Zhao, Yaniv Azar, Kevin Wang, George N Wong, Jocelyn K Schulz, Mathew Samimi, and Felix Gutierrez. Millimeter-wave mobile communications for 5G cellular: It will work! IEEE Access, 1:335--349, 2013.

[25]

Sundeep Rangan, Theodore S Rappaport, and Elza Erkip. Millimeter-wave cellular wireless networks: Potentials and challenges. Proc. IEEE, 102(3):366--385, 2014.

[26]

Joan Palacios, Danilo De Donno, Domenico Giustiniano, and Joerg Widmer. Speeding up mmWave beam training through low-complexity hybrid transceivers. In Proc. IEEE PIMRC'16, 2016.

[27]

Omid Abari, Haitham Hassanieh, Michael Rodriguez, and Dina Katabi. Millimeter wave communications: From point-to-point links to agile network connections. In Proc. ACM HotNets'16, 2016.

Digital Library

[28]

Sanjib Sur, Xinyu Zhang, Parmesh Ramanathan, and Ranveer Chandra. BeamSpy: Enabling robust 60 GHz links under blockage. In Proc. USENIX NSDI'16, 2016.

[29]

Teng Wei and Xinyu Zhang. Pose information assisted 60 GHz networks: Towards seamless coverage and mobility support. In Proc. ACM MobiCom'17, 2017.

Digital Library

[30]

Margarita Gapeyenko, Andrey Samuylov, Mikhail Gerasimenko, Dmitri Moltchanov, Sarabjot Singh, Mustafa Riza Akdeniz, Ehsan Aryafar, Nageen Himayat, Sergey Andreev, and Yevgeni Koucheryavy. On the temporal effects of mobile blockers in urban millimeter-wave cellular scenarios. IEEE Trans. Veh. Technol., 66(11):10124--10138, 2017.

[31]

Muhammad Kumail Haider and Edward W Knightly. Mobility resilience and overhead constrained adaptation in directional 60 GHz WLANs: Protocol design and system implementation. In Proc. ACM MobiHoc'16, 2016.

Digital Library

[32]

Yasaman Ghasempour, Claudio RCM da Silva, Carlos Cordeiro, and Edward W Knightly. IEEE 802.11 ay: Next-generation 60 GHz communication for 100 Gb/s Wi-Fi. IEEE Commun. Mag., 55(12):186--192, 2017.

[33]

Jung Il Choi, Mayank Jain, Kannan Srinivasan, Phil Levis, and Sachin Katti. Achieving single channel, full duplex wireless communication. In Proc. ACM MobiCom'10, 2010.

Digital Library

[34]

Bozidar Radunovic, Dinan Gunawardena, Peter Key, Alexandre Proutiere, Nikhil Singh, Vlad Balan, and Gerald Dejean. Rethinking indoor wireless mesh design: Low power, low frequency, full-duplex. In Proc. IEEE WiMesh'10, 2010.

[35]

Dinesh Bharadia, Emily McMilin, and Sachin Katti. Full duplex radios. In Proc. ACM SIGCOMM'13, 2013.

Digital Library

[36]

Ashutosh Sabharwal, Philip Schniter, Dongning Guo, Daniel W Bliss, Sampath Rangarajan, and Risto Wichman. In-band full-duplex wireless: Challenges and opportunities. IEEE J. Sel. Areas Commun., 32(9):1637--1652, 2014.

[37]

Harish Krishnaswamy and Gil Zussman. 1 chip 2x the bandwidth. IEEE Spectrum, 53(7):38--54, 2016.

[38]

Jin Zhou, Negar Reiskarimian, Jelena Diakonikolas, Tolga Dinc, Tingjun Chen, Gil Zussman, and Harish Krishnaswamy. Integrated full duplex radios. IEEE Commun. Mag., 55(4):142--151, 2017.

Digital Library

[39]

Erik G Larsson, Ove Edfors, Fredrik Tufvesson, and Thomas L Marzetta. Massive MIMO for next generation wireless systems. IEEE Commun. Mag., 52(2):186--195, 2014.

[40]

Xing Zhang, John Tadrous, Evan Everett, Feng Xue, and Ashutosh Sabharwal. Angle-of-arrival based beamforming for FDD massive MIMO. In Proc. Asilomar'15, 2015.

[41]

Kate Ching-Ju Lin, Shyamnath Gollakota, and Dina Katabi. Random access heterogeneous MIMO networks. In Proc. ACM SIGCOMM'11, 2011.

[42]

Lu Lu, Geoffrey Ye Li, A Lee Swindlehurst, Alexei Ashikhmin, and Rui Zhang. An overview of massive MIMO: Benefits and challenges. IEEE J. Sel. Topics Signal Process., 8(5):742--758, 2014.

[43]

Ehsan Aryafar, Mohammad Amir Khojastepour, Karthikeyan Sundaresan, Sampath Rangarajan, and Mung Chiang. MIDU: Enabling MIMO full duplex. In Proc. ACM MobiCom'12, 2012.

Digital Library

[44]

Swarun Kumar, Diego Cifuentes, Shyamnath Gollakota, and Dina Katabi. Bringing cross-layer MIMO to today's wireless LANs. In Proc. ACM SIGCOMM'13, 2013.

Digital Library

[45]

Xiufeng Xie, Eugene Chai, Xinyu Zhang, Karthikeyan Sundaresan, Amir Khojastepour, and Sampath Rangarajan. Hekaton: Efficient and practical large-scale MIMO. In Proc. ACM MobiCom'15, 2015.

Digital Library

[46]

Wei-Liang Shen, Kate Ching-Ju Lin, Ming-Syan Chen, and Kun Tan. SIEVE: Scalable user grouping for large MU-MIMO systems. In Proc. IEEE INFOCOM'15, 2015.

[47]

Clayton Shepard, Hang Yu, Narendra Anand, Erran Li, Thomas Marzetta, Richard Yang, and Lin Zhong. Argos: Practical many-antenna base stations. In Proc. ACM MobiCom'12, 2012.

Digital Library

[48]

Clayton Shepard, Hang Yu, and Lin Zhong. ArgosV2: A flexible many-antenna research platform. In Proc. ACM MobiCom'13, 2013.

Digital Library

[49]

Christopher Husmann, Georgios Georgis, Konstantinos Nikitopoulos, and Kyle Jamieson. FlexCore: Massively parallel and flexible processing for large MIMO access points. In Proc. USENIX NSDI'17, 2017.

[50]

Yuanjie Li, Zengwen Yuan, and Chunyi Peng. A control-plane perspective on reducing data access latency in LTE networks. In Proc. ACM MobiCom'17, 2017.

Digital Library

[51]

Haoyang Wu, Tao Wang, Zengwen Yuan, Chunyi Peng, Zhiwei Li, Zhaowei Tan, Boyan Ding, Xiaoguang Li, Yuanjie Li, Jun Liu, et al. The tick programmable low-latency SDR system. In Proc. ACM MobiCom'17, 2017.

Digital Library

[52]

Mahadev Satyanarayanan, Zhuo Chen, Kiryong Ha, Wenlu Hu, Wolfgang Richter, and Padmanabhan Pillai. Cloudlets: At the leading edge of mobile-cloud convergence. In Proc. MobiCASE'14, 2014.

[53]

Tan Zhang, Aakanksha Chowdhery, Paramvir Victor Bahl, Kyle Jamieson, and Suman Banerjee. The design and implementation of a wireless video surveillance system. In Proc. ACM MobiCom'15, 2015.

Digital Library

[54]

Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. MobileNets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861, 2017.

[55]

Ganesh Ananthanarayanan, Paramvir Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath, and Sudipta Sinha. Real-time video analytics: The killer app for edge computing. IEEE Computer, 50(10):58--67, 2017.

Digital Library

[56]

Swati Rallapalli, Aishwarya Ganesan, Krishna Chintalapudi, Venkat N Padmanabhan, and Lili Qiu. Enabling physical analytics in retail stores using smart glasses. In Proc. ACM MobiCom'14, 2014.

Digital Library

[57]

Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodik, Leana Golubchik, Minlan Yu, Paramvir Bahl, and Matthai Philipose. VideoEdge: Processing camera streams using hierarchical clusters. In Proc. IEEE/ACM SEC'18, 2018.

[58]

Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu. Edge computing: Vision and challenges. IEEE Internet Things J., 3(5):637--646, 2016.

[59]

Peng Liu, Dale Willis, and Suman Banerjee. Paradrop: Enabling lightweight multi-tenancy at the network's extreme edge. In Proc. IEEE/ACM SEC'16, 2016.

[60]

Leandro Y Mano, Bruno S Faiçal, Luis HV Nakamura, Pedro H Gomes, Giampaolo L Libralon, Rodolfo I Meneguete, PR Geraldo Filho, Gabriel T Giancristofaro, Gustavo Pessin, Bhaskar Krishnamachari, et al. Exploiting IoT technologies for enhancing health smart homes through patient identification and emotion recognition. Computer Communications, 89:178--190, 2016.

Digital Library

[61]

Agusti Solanas, Constantinos Patsakis, Mauro Conti, Ioannis S Vlachos, Victoria Ramos, Francisco Falcone, Octavian Postolache, Pablo A Pérez-Martínez, Roberto Di Pietro, Despina N Perrea, et al. Smart health: A context-aware health paradigm within smart cities. IEEE Commun. Mag., 52(8):74--81, 2014.

[62]

Carolina Tripp Barba, Miguel Angel Mateos, Pablo Reganas Soto, Ahmad Mohamad Mezher, and Mónica Aguilar Igartua. Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights. In Proc. IEEE Intelligent Vehicles Symposium, 2012.

[63]

Innovation zones for program experimental licenses in designated portions of new york city and salt lake city. https://docs.fcc.gov/public/attachments/DA-19-923A1.pdf/, 2019.

[64]

COSMOS education toolkit. https://cosmos-lab.org/cosmos-toolkit/, 2019.

[65]

Bristol Is Open. http://www.bristolisopen.com/.

[66]

ADRENALINE testbed. http://networks.cttc.es/ons/adrenaline/sdnnfv-cloud-computing-platform-and-core-network-for-5g-services/.

[67]

POWDER-RENEW. https://powderwireless.net/.

[68]

Robert Ricci, Eric Eide, and CloudLab Team. Introducing CloudLab: Scientific infrastructure for advancing cloud architectures and applications. The USENIX Magazine, 39(6):36--38, 2014.

[69]

Mark Berman, Jeffrey S Chase, Lawrence Landweber, Akihiro Nakao, Max Ott, Dipankar Raychaudhuri, Robert Ricci, and Ivan Seskar. GENI: A federated testbed for innovative network experiments. Computer Networks, 61:5--23, 2014.

Digital Library

[70]

Eric Eide, Leigh Stoller, and Jay Lepreau. An experimentation workbench for replayable networking research. In Proc. USENIX NSDI'07, 2007.

[71]

Brent Chun, David Culler, Timothy Roscoe, Andy Bavier, Larry Peterson, Mike Wawrzoniak, and Mic Bowman. PlanetLab: An overlay testbed for broad-coverage services. ACM SIGCOMM Computer Communication Review, 33(3):3--12, 2003.

Digital Library

[72]

Serge Fdida, Timur Friedman, and Thierry Parmentelat. OneLab: An open federated facility for experimentally driven future internet research. In New Network Architectures, pages 141--152. Springer, 2010.

[73]

The CIAN TOAN testbed. http://cian-erc.uawebhost.arizona.edu/testbed-capabilities.

[74]

Dipankar Raychaudhuri, Ivan Seskar, Max Ott, Sachin Ganu, Kishore Ramachandran, Haris Kremo, Robert Siracusa, Hang Liu, and Manpreet Singh. Overview of the ORBIT radio grid testbed for evaluation of next-generation wireless network protocols. In Proc. IEEE WCNC'05, 2005.

[75]

Bodhisatwa Sadhu, Yahya Tousi, Joakim Hallin, Stefan Sahl, Scott K Reynolds, Örjan Renström, Kristoffer Sjögren, Olov Haapalahti, Nadav Mazor, Bo Bokinge, et al. A 28-GHz 32-element TRX phased-array IC with concurrent dual-polarized operation and orthogonal phase and gain control for 5G communications. IEEE J. Solid-State Circuits, 52(12):3373--3391, 2017.

[76]

Tingjun Chen, Manav Kohli, Tianyi Dai, Angel Daniel Estigarribia, Dmitry Chizhik, Jinfeng Du, Rodolfo Feick, Reinaldo A Valenzuela, and Gil Zussman. 28 GHz channel measurements in the COSMOS testbed deployment area. In Proc. ACM MobiCom'19 Workshop on Millimeter-Wave Networks and Sensing System (mmNets), 2019.

Digital Library

[77]

Jiakai Yu, Tingjun Chen, Craig Gutterman, Shengxiang Zhu, Gil Zussman, Ivan Seskar, and Dan Kilper. COSMOS: Optical architecture and prototyping. In Proc. OSA OFC'19, 2019.

[78]

Jiakai Yu, Craig Gutterman, Artur Minakhmetov, Michael Sherman, Tingjun Chen, Shengxiang Zhu, Gil Zussman, Ivan Seskar, and Dan Kilper. Dual use SDN controller for management and experimentation in a field deployed testbed. In Proc. OSA OFC'20, T3J.3, 2020.

[79]

Andy Bavier, Nick Feamster, Mark Huang, Larry Peterson, and Jennifer Rexford. In VINI veritas: Realistic and controlled network experimentation. In Proc. ACM SIGCOMM'06, 2006.

Digital Library

[80]

Raul Munoz, Ricard Vilalta, Ramon Casellas, Ricardo Martínez, Thomas Szyrkowiec, Achim Autenrieth, Victor López, and Diego López. SDN/NFV orchestration for dynamic deployment of virtual SDN controllers as VNF for multi-tenant optical networks. In Proc. OSA OFC'15, 2015.

[81]

Thierry Rakotoarivelo, Maximilian Ott, Guillaume Jourjon, and Ivan Seskar. OMF: A control and management framework for networking testbeds. ACM SIGOPS Operating Systems Review, 43(4):54--59, 2010.

Digital Library

[82]

COSMOS tutorials. https://wiki.cosmos-lab.org/wiki/tutorials/, 2019.

[83]

Tingjun Chen, Mahmood Baraani Dastjerdi, Guy Farkash, Jin Zhou, Harish Krishnaswamy, and Gil Zussman. Open-access full-duplex wireless in the ORBIT testbed. arXiv preprint arXiv:1801.03069v2, 2018.

[84]

Craig Gutterman, Artur Minakhmetov, Jiakai Yu, Michael Sherman, Tingjun Chen, Shengxiang Zhu, Ivan Seskar, Dipankar Raychaudhuri, Dan Kilper, and Gil Zussman. Experimentation with full-duplex wireless in the COSMOS testbed. In Proc. IEEE ICNP'19 Workshop on Midscale Education and Research Infrastructure and Tools (MERIT), 2019.

[85]

Tingjun Chen, Mahmood Baraani Dastjerdi, Jin Zhou, Harish Krishnaswamy, and Gil Zussman. Wideband full-duplex wireless via frequency-domain equalization: Design and experimentation. In Proc. ACM MobiCom'19, 2019.

Digital Library

[86]

Varun Gupta, Craig Gutterman, Yigal Bejerano, and Gil Zussman. Experimental evaluation of large scale WiFi multicast rate control. IEEE Trans. Wireless Commun., 17(4):2319--2332, 2018.

[87]

Yao Li, Weiyang Mo, Shengxiang Zhu, Yiwen Shen, Jiakai Yu, Payman Samadi, Keren Bergman, and Daniel C Kilper. tSDX: Enabling impairment-aware all-optical inter-domain exchange. J. Lightwave Technol., 36(1):142--154, 2018.

[88]

Artur Minakhmetov, Craig Gutterman, Tingjun Chen, Cedric Ware, Luigi Iannone, Dan Kilper, and Gil Zussman. Experiments on cloud-RAN wireless handover using optical switching in a dense urban testbed. In Proc. OSA OFC'20, Th2A.25, 2020.

[89]

Tingjun Chen, Jackson Welles, Manav Kohli, Mahmood Baraani Dastjerdi, Jakub Kolodziejski, Michael Sherman, Ivan Seskar, Harish Krishnaswamy, and Gil Zussman. Programmable optical x-haul network in the COSMOS testbed. In Proc. IEEE ICNP'19 Workshop on Midscale Education and Research Infrastructure and Tools (MERIT), 2019.

[90]

Francesco Bronzino, Sumit Maheshwari, Ivan Seskar, and Dipankar Raychaudhuri. Novn: named-object based virtual network architecture. In Proc. ACM ICDCN'19, 2019.

Digital Library

[91]

Sumit Maheshwari, Shalini Choudhury, Ivan Seskar, and Dipankar Raychaudhuri. Traffic-aware dynamic container migration for real-time support in mobile edge clouds. In Proc. IEEE ANTS'18, 2018.

[92]

Sumit Maheshwari, Wuyang Zhang, Ivan Seskar, Yanyong Zhang, and Dipankar Raychaudhuri. EdgeDrive: Supporting advanced driver assistance systems using mobile edge clouds networks. In Proc. IEEE INFOCOM'19 Workshop on Big Data and Cloud Performance (DCPerf), 2019.

[93]

Shiyun Yang, Emily Bailey, Zhengye Yang, Jonatan Ostrometzky, Gil Zussman, Ivan Seskar, and Zoran Kostic. COSMOS smart intersection: Edge compute and communications for bird's eye object tracking. In Proc. 4th International Workshop on Smart Edge Computing and Networking (SmartEdge'20), 2020.

Cited By

Nishizawa HMano TFerreira de Lima THuang YWang ZIshida WKawashima MIp ED’Amico AOkamoto SInoue TAnazawa KCurri VZussman GKilper DChen TWang TAsahi KTakasugi K(2024)Fast WDM provisioning with minimal probing: the first field experiments for DC exchangesJournal of Optical Communications and Networking10.1364/JOCN.50572916:2(233)Online publication date: 1-Feb-2024
https://doi.org/10.1364/JOCN.505729
Jain GHindi BZhang ZSrinivasula KXie MGhasemi MWeiner DParis SXu XMalcolm MTurkcan MGhaderi JKostic ZZussman GSmith B(2024)StreetNav: Leveraging Street Cameras to Support Precise Outdoor Navigation for Blind PedestriansProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676333(1-21)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676333
Ghasemi MKostic ZGhaderi JZussman GGanesan DLane NShi W(2024)EdgeCloudAI: Edge-Cloud Distributed Video AnalyticsProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698857(1778-1780)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698857
Show More Cited By

Index Terms

Challenge: COSMOS: A city-scale programmable testbed for experimentation with advanced wireless
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Wireless devices
2. Networks

Recommendations

COSMOS educational toolkit: using experimental wireless networking to enhance middle/high school STEM education

This paper focuses on the K-12 educational activities of COSMOS-<u>C</u>loud enhanced <u>O</u>pen <u>S</u>oftware defined <u>MO</u>bile wireless testbed for city-<u>S</u>cale deployment. The COSMOS wireless reasearch testbed is being deployed in West ...
Efficient Frequency Reconfigurable Antenna for 4G, Sub-6 GHz, 5G Portable Devices Applications
Abstract
This research investigates a frequency-switchable, multi-mode operation antenna contingent on ground structure slots and suitable for 4G, 5G/sub 6 GHz and other modern systems. In earlier research work, researchers used the approach of putting ...
High gain substrate integrated waveguide antenna with enhanced bandwidth for millimeter-wave wireless network applications
Abstract
A high-gain slotted waveguide antenna in substrate-integrated waveguide (SIW) configuration with enhanced bandwidth is proposed. Two different cases fabricated using Rogers RO 4003 substrate over a small area of 16 × 4.5 × 0.508 mm³ are discussed. ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

MobiCom '20: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

April 2020

621 pages

ISBN:9781450370851

DOI:10.1145/3372224

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 April 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

National Science Foundation

Conference

MobiCom '20

Sponsor:

SIGMOBILE

MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking

September 21 - 25, 2020

London, United Kingdom

Acceptance Rates

Overall Acceptance Rate 440 of 2,972 submissions, 15%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

94
Total Citations
View Citations
1,298
Total Downloads

Downloads (Last 12 months)165
Downloads (Last 6 weeks)24

Reflects downloads up to 11 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Nishizawa HMano TFerreira de Lima THuang YWang ZIshida WKawashima MIp ED’Amico AOkamoto SInoue TAnazawa KCurri VZussman GKilper DChen TWang TAsahi KTakasugi K(2024)Fast WDM provisioning with minimal probing: the first field experiments for DC exchangesJournal of Optical Communications and Networking10.1364/JOCN.50572916:2(233)Online publication date: 1-Feb-2024
https://doi.org/10.1364/JOCN.505729
Jain GHindi BZhang ZSrinivasula KXie MGhasemi MWeiner DParis SXu XMalcolm MTurkcan MGhaderi JKostic ZZussman GSmith B(2024)StreetNav: Leveraging Street Cameras to Support Precise Outdoor Navigation for Blind PedestriansProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676333(1-21)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676333
Ghasemi MKostic ZGhaderi JZussman GGanesan DLane NShi W(2024)EdgeCloudAI: Edge-Cloud Distributed Video AnalyticsProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698857(1778-1780)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698857
Maddala PKolodziejski JAdhikari AHermstein KChen DZhu LChen TSeskar IZussman GGanesan DLane NShi W(2024)Demo: Experimentation with Mobile 28 GHz Phased Array Antenna ModulesProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698841(1730-1732)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698841
Cho KMaddala PSeskar IJamieson KGanesan DLane NShi W(2024)Demo: Metasurface-Enabled NextG mmWave for Roadside NetworkingProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698839(1724-1726)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698839
Bonati LShirkhani RFiandrino CMaxenti SD'Oro SPolese MMelodia TGanesan DLane NShi W(2024)Twinning Commercial Network Traces on Experimental Open RAN PlatformsProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3697320(1914-1921)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3697320
Cheng WGao ZChen TGanesan DLane NShi W(2024)SPEAR: Software-defined Python-Enhanced RFSoC for Wideband Radio ApplicationsProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3697310(1834-1841)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3697310
Qi ZTung CKalia AChen TGanesan DLane NShi W(2024)Savannah: Efficient mmWave Baseband Processing with Minimal and Heterogeneous ResourcesProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690707(1500-1514)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3690707
Gao ZQi ZChen TGanesan DShi W(2024)Mambas: Maneuvering Analog Multi-User Beamforming using an Array of Subarrays in mmWave NetworksProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649390(694-708)Online publication date: 29-May-2024
https://dl.acm.org/doi/10.1145/3636534.3649390
Kohli MAdhikari AAvci GBrent SDash AMoser JHossain SKadota IGarland CMukherjee SFeick RChizhik DDu JValenzuela RZussman G(2024)Outdoor-to-Indoor 28 GHz Wireless Measurements in Manhattan: Path Loss, Environmental Effects, and 90% CoverageIEEE/ACM Transactions on Networking10.1109/TNET.2024.335584232:3(2463-2478)Online publication date: Jun-2024
https://doi.org/10.1109/TNET.2024.3355842
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents