DAS - Distributed antenna
systems are a popular deployment strategy for increasing the coverage
of mobile cellular as well as WLANs in large settings such as
convention/exhibition centers, enterprises, stadiums, hospitals, etc.
However, instead of simply using them as extended transmitters, these
DAS systems can also be intelligently leveraged to perform a multitude
of wireless transmission strategies, ranging from simple broadcast to
more sophisticated network MIMO - the configuration of such strategies
being orchestrated from a central controller. Such software-defined
wireless access networks are critical to delivering enhanced user
experience for mobile services and applications. In this project, we
have designed and implemented a C-RAN system that can effectively cater
to users with varying channel conditions (static and mobile users,
network dynamics, etc.) by appropriately tailoring their transmission
strategies, thereby resulting in a superior quality of mobile
Software-defined Mobile Networks -
In a cloud-driven radio access network (C-RAN), the processing of all
the cells is moved to a central processing entity (cloud), while the
remote ends only serves as simple radio transmission/reception units.
Interestingly, this creates a new "front-haul" network (between the
central processor and remote radio units) that is uniqie to C-RANs.
Unlike wired networks, where software-defined networking (SDN) is
related to configuring routes on the fly, the notion of
"software-defined, reconfigurable" front-hauls is even more powerful in
C-RANs - the configurations directly map to different wireless
transmission strategies on the access network, as well as also affect
the usage of computing resources in the cloud. Given this duplex effect
on both the access network and the cloud, we introduce the notion of a
"reconfigurable" or "software-defined" front-haul for C-RANs and show
that adapting them to network traffic conditions and dynamics is
critical to the success of the entire C-RAN, delivering both improved
user performance as well as cost and energy reduction for
Leveraging Frequency-agile Radios for Time-based Indoor Wireless
Localization”, J. Xiong, K. Sundaresan, K. Jamieson, Proceedings of ACM
International Conference on Mobile Computing and Networking (MOBICOM),
- "MIDAS: Empowering 802.11ac Networks with Multiple-input
Distributed Antenna Systems", J. Xiong, K. Sundaresan, K. Jamieson, M.
Khojastepour, S. Rangarajan, Best Paper Award, ACM International Conference on emerging Networking EXperiments and Technologies (CONEXT), Dec 2014.
- “AmorFi: Amorphous WiFi Networks for High Density Deployments”, R.
Seshadri, M. Arslan, K. Sundaresan, S. Rangarajan, D. Koutsonikolas,
ACM International Conference on emerging Networking EXperiments and
Technologies (CONEXT), Dec 2016.
- “Trinity: Tailoring Wireless
Transmission Strategies to User Profiles in Enterprise Wireless
Networks”,S. Singh, K. Sundaresan, S. Krishnamurthy, X. Zhang, M.
Khojastepour, IEEE/ACM Transactions on Networking, 2016.
- “Trinity: A Practical Transmitter Cooperation Framework to Handle
Heterogeneous User Profiles in Wireless Networks”, S. Singh, K.
Sundaresan, S. Krishnamurthy, X. Zhang, M. Khojastepour, S. Rangarajan,
Proceedings of ACM International Conference on Mobile Ad Hoc Networking
and Computing (MOBIHOC), July 2015.
- "FluidNet: A Flexible Cloud-based Radio Access Network of Small
Cells", K. Sundaresan, M. Arslan, S. Singh, S. Rangarajan, S.
Krishnamurthy, ACM MOBICOM 2013.
- "The Case for Re-configurable Backhaul for Cloud-RAN based Small
cell Networks", C. Liu, K. Sundaresan, M. Jiang, S. Rangarajan, G.K.
Chang, IEEE International Conference on Computer Communications
(INFOCOM), Apr 2013.