stochasticLegacy congestion control protocols including TCP and its variants, are known to perform poorly over cellular networks due to highly variable capacities over short time scales, self-inflicted packet delays, and packet losses unrelated to congestion. Three specific characteristics directly impact the unpredictability of cellular channels.

First, the state of a cellular channel between a mobile device and a base station undergoes several complex state transitions that affect channel availability in short time scales; this introduces variability in the underlying channel.

Second, the frame scheduling algorithms used in cellular networks cause burstiness in the cellular channel. Based on real-world cellular measurements, we observe that the typical traffic characteristics at a receiver are bursty (even for smooth source transmission patterns), with variable burst sizes and burst inter-arrival periods.

Third, while prior work has considered only self-inflicted queuing delay as a cause for high delays, we find that competing traffic does affect end-to-end delay characteristics, especially under high contention or when the cellular channel is near saturation.

Finally, device mobility has a substantial impact on channel characteristics that further compounds these challenges. The lack of channel predictability has important implications on the design of new congestion control protocols. The large bandwidth coupled with connectivity impairments associated with mmWave channels will qualitatively change the nature of congestion control.

Current Research

Improved Network Performance Over 5G mmWave Cellular

In this project we aim at designing a transport layer protocol optimized for the mmWave access network, and for the new class of applications that it will enable, aiming to work seamlessly across a connection consisting of both wireline and wireless segments.In our recent ICC paper submission “The Bufferbloat Problem over Intermittent Multi-Gbps mmWave Links”, we have proposed a simple approach to solve some of the major issues related to TCP over mmWave that we observed in our previous publication: “Transport layer performance in 5G mmWave cellular”. Our solution, namely Dynamic RW, delivers high throughput while guaranteeing low latency.

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Conference Papers

CitationResearch AreasDate

R. Kumar, A. Francini, S. Panwar, and S. Sharma, “Dynamic Control of RLC Buffer Size for Latency Minimization in Mobile RAN,” in Proc. of IEEE WCNC, Apr. 2018.

Distributed Core, mobile edgeJanuary 24, 2018

Yasir Zaki (NYUAD), Thomas Pötsch (NYUAD), Talal Ahmad (NYU), Tai Liu (NYU), Arjuna Sathiaseelan (Ammbr Research Labs), Jay Chen (NYUAD) and Lakshminarayanan Subramanian (NYU). Application-level Congestion Control: Overcoming TCPs limitations in Cellular Networks. USENIX Annual Technical Conference (USENIX ATC 2018)

Cellular networks, Congestion ControlJanuary 1, 2018

R. Kumar, R. Margolies, R. Jana, Y. Liu, S. Panwar, “WiLiTV: A Low-Cost Wireless Framework for Live TV Services,” 2017 IEEE Conference on Computer Communications Workshops, May 2017.

Distributed Core, terahertzApril 11, 2017

E. Kurdoglu, Y. Liu, Y. Wang, Y. Shi, C. Gu, J. Lyu, “Real-time Bandwidth Prediction and Rate Estimation for Video Calls over Cellular Networks,” in Proceedings of the 7th International Conference on Multimedia Systems, ACM, 2016 / Klagenfurt, Austria

Congestion Control, Future Congestion Control, High-speed, networking, Low DelayDecember 21, 2016

P. Hassanzadeh, A. Tulino, J. Llorca, E. Erkip “Correlation-Aware Distributed Caching and Coded Delivery,” in Proc. IEEE Information Theory Workshop (ITW), September 2016.

Cache-Aided Wireless NetworksSeptember 11, 2016

P. Hassanzadeh, A. Tulino, J. Llorca, E. Erkip “Cache-Aided Coded Multicast for Correlated Sources,” in Proc. IEEE International Symposium on Turbo Codes and Iterative Information Processing (ISTC), September 2016.

Cache-Aided Wireless NetworksSeptember 1, 2016

R. Ford, M. Zhang, S. Dutta M. Mezzavilla, S. Rangan, M. Zorzi “A Framework for End-to-End Evaluation of 5G mmWaveCellular Networks in ns-3” Proceedings of the Workshop on ns-3, Pages 85-92, June 15 – 16, 2016, Seattle, WA, USA

5G Channel Models, High-speed, networking, mmwave, ns3, terahertzJune 15, 2016

R. Ford, M. Zhang, M. Mezzavilla, S. Dutta, S. Rangan, M. Zorzi “A Framework for End-to-End Evaluation of 5G mmWaveCellular Networks in ns-3” Proceedings of the Workshop on ns-3, Pages 85-92, June 15 – 16, 2016, Seattle, WA, USA

High-speed, networking, terahertz, testbedsFebruary 23, 2016

F. Shirani, S. S. Pradhan, “An achievable rate-distortion region for multiple descriptions source coding based on coset codes,” IEEE Transactions on Information Theory 64.5 (2018): 3781-3809, Feb 5, 2016.

Cache-Aided Wireless NetworksFebruary 5, 2016

P. Hassanzadeh, E. Erkip, J. Llorca, A. Tulino “Distortion-Memory Trade-offs in Cache-Aided Wireless Video Delivery”, in Proc. IEEE Annual Allerton Conference on Communication, Control, and Computing, October 2015.

Cache-Aided Wireless NetworksOctober 1, 2015

Y. Zaki, T. Pötsch, J. Chen, L. Subramanian, C. Görg, “Adaptive Congestion Control for Unpredictable Cellular Networks” ACM Special Interest Group on Data Communication (SIGCOMM) London, UK, August 2015.

Congestion Control, Future Congestion ControlAugust 1, 2015

M. Mezzavilla, S. Dutta, M. Zhang, M. R. Akdeniz, S. Rangan, “5G mmWave Module for the ns-3 Network Simulator,” Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. ACM, 2015.

High-speed, networking, Millimeter Wave 5G Prototype, ns3June 29, 2015

R. Gupta, B. Bachmann, R. Ford, S. Rangan, N. Kundargi, A. Ekbal, K. Rathi, M.I. Sanchez, A. Oliva, A. Morelli, “ns-3-based real-time emulation of LTE testbed using LabVIEW platform for software defined networking (SDN) in CROWD project.” Proc. Workshop on ns-3 (WNS3 ’15)., Barcelona, Spain, May 2015.

High-speed, networking, Millimeter Wave 5G Prototype, Wireless CommMay 13, 2015

Journal Articles

CitationResearch AreasDate

R. Kumar, R. Margolies, R. Jana, Y. Liu, S. Panwar, “WiLiTV: Reducing Live Satellite TV Costs using Wireless Relays”, in IEEE Journal on Selected Areas in Communications, February, 2018.

5g and 6g apps, Distributed Core, mobile edge, terahertzFebruary 1, 2018

R. Kumar, R. Margolies, R. Jana, Y. Liu, and S. Panwar, “WiLiTV: Reducing Live Satellite TV Costs using Wireless Relays,” in IEEE Journal on Selected Areas in Communications Special Issue on Advances in Satellite Communications, June 2017.

5g and 6g apps, Distributed Core, terahertzJune 1, 2017

P. Hassanzadeh, A. Tulino, J. Llorca, E. Erkip “Rate-Memory Trade-off for the Two-User Broadcast Caching Network with Correlated Sources”, in Proc. IEEE International Symposium Information Theory (ISIT), June 2017.

Cache-Aided Wireless Networks, mobile edgeJune 1, 2017

Z. Cao, S. Panwar, M. Kodialam, T. Lakshman, “Enhancing Mobile Networks With Software Defined Networking and Cloud Computing,” in IEEE/ACM Transactions on Networking , vol.PP, no.99, pp.1-14.

Distributed Core, mobile edgeApril 11, 2017

S. Dutta, M. Zhang, M. Mezzavilla, M.R. Akdeniz, S. Rangan, Millimeter wave module for ns-3 network simulator.

High-speed, networking, Wireless CommJune 29, 2015