2020 - IEEE Fellow For contributions to software-defined wireless networking technologies
Ranveer Chandra mainly focuses on Computer network, Wireless network, Wireless, Distributed computing and Cognitive radio. His Computer network study focuses on Network packet in particular. His biological study spans a wide range of topics, including Real-time computing and Communication channel.
His research integrates issues of Computer security and Protocol in his study of Wireless. The various areas that he examines in his Cognitive radio study include QualNet, Block, Broadcast band and Bandwidth. Ranveer Chandra interconnects Managed code and Programmer in the investigation of issues within Mobile device.
Ranveer Chandra mostly deals with Computer network, Wireless, Wireless network, White spaces and Real-time computing. He works mostly in the field of Computer network, limiting it down to topics relating to Wi-Fi array and, in certain cases, Wireless ad hoc network, as a part of the same area of interest. His Wireless study combines topics in areas such as Transmission and Bandwidth.
His Wireless network research is multidisciplinary, relying on both Scalability and Cloud computing. His White spaces research integrates issues from Wireless sensor network and Base station. His Wireless WAN research is multidisciplinary, incorporating elements of Heterogeneous network and Municipal wireless network.
His main research concerns Wireless, Water content, Telecommunications, Real-time computing and Computer network. His study in the fields of Backscatter under the domain of Wireless overlaps with other disciplines such as Glaze. In the subject of general Telecommunications, his work in White spaces, Ultra high frequency and Cognitive radio is often linked to Work, thereby combining diverse domains of study.
His studies deal with areas such as Interference and Radio spectrum as well as Cognitive radio. The concepts of his Real-time computing study are interwoven with issues in Network connectivity, Software deployment, Object, Radio frequency and Data exchange. His Computer network study integrates concerns from other disciplines, such as Wireless data and Frame aggregation.
His primary scientific interests are in Computer network, Telecommunications, White spaces, Wireless sensor network and Internet access. He combines Computer network and Glaze in his studies. His Telecommunications research incorporates elements of Data-driven, The Internet and Systems design.
His White spaces research incorporates themes from Physical layer, Frequency allocation, LPWAN, Asynchronous communication and Base station. His Wireless sensor network study combines topics from a wide range of disciplines, such as Scalability, Latency, Power management, Data center and Server. His Internet access research also works with subjects such as
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
MAUI: making smartphones last longer with code offload
Eduardo Cuervo;Aruna Balasubramanian;Dae-ki Cho;Alec Wolman.
international conference on mobile systems, applications, and services (2010)
SSCH: slotted seeded channel hopping for capacity improvement in IEEE 802.11 ad-hoc wireless networks
Paramvir Bahl;Ranveer Chandra;John Dunagan.
acm/ieee international conference on mobile computing and networking (2004)
MultiNet: connecting to multiple IEEE 802.11 networks using a single wireless card
R. Chandra;P. Bahl.
international conference on computer communications (2004)
White space networking with wi-fi like connectivity
Paramvir Bahl;Ranveer Chandra;Thomas Moscibroda;Rohan Murty.
acm special interest group on data communication (2009)
Towards highly reliable enterprise network services via inference of multi-level dependencies
Paramvir Bahl;Ranveer Chandra;Albert Greenberg;Srikanth Kandula.
acm special interest group on data communication (2007)
SenseLess: A database-driven white spaces network
Rohan Murty;Ranveer Chandra;Thomas Moscibroda;Paramvir Bahl.
ieee international symposium on dynamic spectrum access networks (2011)
A case for adapting channel width in wireless networks
Ranveer Chandra;Ratul Mahajan;Thomas Moscibroda;Ramya Raghavendra.
acm special interest group on data communication (2008)
Allocating dynamic time-spectrum blocks in cognitive radio networks
Yuan Yuan;Paramvir Bahl;Ranveer Chandra;Thomas Moscibroda.
mobile ad hoc networking and computing (2007)
KNOWS: Cognitive Radio Networks Over White Spaces
Yuan Yuan;P. Bahl;R. Chandra;P.A. Chou.
2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (2007)
Empowering developers to estimate app energy consumption
Radhika Mittal;Aman Kansal;Ranveer Chandra.
acm/ieee international conference on mobile computing and networking (2012)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Microsoft (United States)
Microsoft (United States)
Microsoft (United States)
Microsoft (United States)
The University of Texas at Austin
Microsoft (United States)
Microsoft (United States)
Yale University
University of California System
Harbin Institute of Technology
University of Manchester
Imperial College London
University of Illinois at Urbana-Champaign
National Institute of Advanced Industrial Science and Technology
IBM (United States)
Université de Caen Normandie
Allen Institute for Brain Science
Inserm : Institut national de la santé et de la recherche médicale
University of Greenwich
Imperial College London
University of Toronto
Sorbonne University
University of Florida
Rutgers, The State University of New Jersey
Mayo Clinic
Harvard University