R
Ritesh K. Madan
Researcher at Qualcomm
Publications - 78
Citations - 4298
Ritesh K. Madan is an academic researcher from Qualcomm. The author has contributed to research in topics: Scheduling (computing) & Optimization problem. The author has an hindex of 31, co-authored 78 publications receiving 4219 citations. Previous affiliations of Ritesh K. Madan include Stanford University & Mitsubishi Electric Research Laboratories.
Papers
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Journal ArticleDOI
Cell Association and Interference Coordination in Heterogeneous LTE-A Cellular Networks
TL;DR: New paradigms for design and operation of heterogeneous cellular networks, focusing on cell splitting, range expansion, semi-static resource negotiation on third-party backhaul connections, and fast dynamic interference management for QoS via over-the-air signaling are described.
Journal ArticleDOI
Energy-Efficient Cooperative Relaying over Fading Channels with Simple Relay Selection
TL;DR: This work considers a cooperative wireless network where a set of nodes cooperate to relay in parallel the information from a source to a destination using a decode-and-forward approach, and describes the structure of the optimal transmission scheme.
Journal ArticleDOI
Distributed algorithms for maximum lifetime routing in wireless sensor networks
Ritesh K. Madan,Sanjay Lall +1 more
TL;DR: Distributed algorithms to compute an optimal routing scheme that maximizes the time at which the first node in the network drains out of energy are proposed.
Proceedings ArticleDOI
Cross-layer design for lifetime maximization in interference-limited wireless sensor networks
TL;DR: This work considers the joint optimal design of the physical, medium access control (MAC), and routing layers to maximize the lifetime of energy-constrained wireless sensor networks and proposes an iterative algorithm that alternates between adaptive link scheduling and computation of optimal link rates and transmission powers for a fixed link schedule.
Journal ArticleDOI
Cross-Layer Design for Lifetime Maximization in Interference-Limited Wireless Sensor Networks
TL;DR: This work considers the joint optimal design of the physical, medium access control (MAC), and routing layers to maximize the lifetime of energy-constrained wireless sensor networks and proposes an iterative algorithm that alternates between adaptive link scheduling and computation of optimal link rates and transmission powers for a fixed link schedule.