Sundar Subramanian

Learn More
— Geographic forwarding has been widely studied as a routing strategy for large wireless networks, mainly due to the low complexity of the routing algorithm, scalability of the routing information with network size and fast convergence times of routes. On a planar network with no holes, Gupta and Kumar (2000) have shown that a uniform traffic demand of is(More)
—We consider the problem of throughput-optimal routing over large-scale wireless ad-hoc networks. Gupta and Kumar (2000) showed that a throughput capacity (a uniform rate over all source-destination pairs) of Θ(1 √ n log n) is achievable in random planar networks, and the capacity is achieved by straight-line routes. In reality, both the network model and(More)
Geographic routing with greedy relaying strategies have been widely studied as a routing scheme in sensor networks. These schemes assume that the nodes have perfect information about the location of the destination. When the distance between the source and destination is normalized to unity, the asymptotic routing delays in these schemes are(More)
Millimeter-wave (mmW) multi-input multi-output (MIMO) systems have gained increasing traction towards the goal of meeting the high data-rate requirements for next-generation wireless systems. The focus of this work is on low-complexity beamforming approaches for initial user equipment (UE) discovery in such systems. Towards this goal, we first note the(More)
Flooding based querying and broadcasting schemes have low hop-delays of &#920; (1/<i>R</i>(<i>n</i>) to reach any node that is a unit distance away, where <i>R</i>(<i>n</i>) is the transmission range of any sensor node. However, in sensor networks with large radio ranges, flooding based broadcasting schemes cause many redundant transmissions leading to a(More)
Equilibrium formally can be represented as an ensemble of uncoupled systems undergoing unbiased dynamics in which detailed balance is maintained. Many nonequilibrium processes can be described by suitable subsets of the equilibrium ensemble. Here, we employ the "weighted ensemble" (WE) simulation protocol [Huber and Kim, Biophys. J.1996, 70, 97-110] to(More)