My current research at NEC labs is targeted towards the following thrusts.


Network densification, i.e. making the communication cells smaller and denser in deployment, can allow for aggressive reuse and scaling of spectral resources, thereby providing a potential solution for the "capacity crunch" problem. However, realizing this in practice faces several fundamental challenges. We have designed and prototyped novel solutions for addressing the challenging problem of "pervasive interference" in small cells - our solutions intelligently leverage resources from multiple dimensions (time, frequency and space) effectively.  Some of our system related efforts in this area include
Spectrum Management, i.e. the ability to utilize the scarce spectral resources efficiently, is an integral component in the efficient operation of wireless networks. Challenges arise when this has to be accomplished in the face of heterogeneity arising from access modalities (eg. base station-client vs. peer-peer) and technolgies (LTE vs. WiFi). Our works in this space include For more information on our small cell projects, please check (here).

Smart antennas are extremely vital to the performance of a wireless network. They can deliver promising gains within a single cell as well as reduce interference between cells. Over the past decade, they have evolved from simple switched beamforming antennas to sophisticated multiple-input multiple-output (MIMO) techniques, and more recently to multi-user MIMO (MU-MIMO) and wireless full-duplex technologies. However, leveraging these technologies effectively requires intelligent  higher layer solutions that (i) are smart antenna aware, and  (ii) can scale their benefits to a large network of cells. We have designed and built novel solutions with these attributes for various forms of smart antenna techniques, including the more recent network MIMO and full-duplex systems. Some of our recent systems in this domain include
For more information on our projects in these areas, please check (here).


Software-defined Mobile Networks: With the advances in cloud and centralized computing, more and more sophisticated processing is being pushed towards the wireless network controllers - in some cases even remotely. We are exploring intelligent architectures and software-defined solutions for mobile core (eg. network function virtualization, NFV) and access networks ( radio access networks, C-RAN). Such architectures are critical for making future mobile networks scalable and to greatly simplify the management of a large network of small cells. We are designing solutions that not only improve the performance and QoE for users and services on the access network but also computing (energy) efficiency for network operators. We have also deployed a functional, small scale C-RAN system in our enterprise, demonstrating the multitude of benefits from our solution. 
For more information on our projects in these areas, please check (here).

Smart Infrastructure: Several indoor applications of IoT such as smart retail, connected healthcare, surveillance,
etc., will greatly benefit from two primitives: (a) ability to accurately localize devices (eg. sensors and wearables) indoors; and (b) a robust, on-demand infrastructure for plug-n-play connectivity for IoT devices (eg. security cameras, automation devices). We have designed smart infrastructure solutions to realize these two primitives.
Mobile Edge Computing: Bringing computing closer to the wireless edge is critical to deliver the tight latencies needed for enabling time-critical, real-time applications like continuous vision (augmented/virtual reality), critical health and emergency services. We are leveraging various aspects of user context information to optimize the MEC solution and help deliver the latencies required for an enriched, mobile user experience over LTE networks.
For some demos, check here.

A brief list of my past projects and theses during graduate school can be found here.