R
Rahul Vaze
Researcher at Tata Institute of Fundamental Research
Publications - 166
Citations - 2589
Rahul Vaze is an academic researcher from Tata Institute of Fundamental Research. The author has contributed to research in topics: Competitive analysis & Network packet. The author has an hindex of 22, co-authored 159 publications receiving 2299 citations. Previous affiliations of Rahul Vaze include Indian Institute of Science & University of Texas at Austin.
Papers
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Journal ArticleDOI
Analysis of Blockage Effects on Urban Cellular Networks
TL;DR: In this paper, the authors proposed a mathematical framework to model random blockages and analyze their impact on cellular network performance, and showed that the probability of a link not intersecting by any blockages decays exponentially with the link length.
Journal ArticleDOI
On the Capacity and Diversity-Multiplexing Tradeoff of the Two-Way Relay Channel
Rahul Vaze,Robert W. Heath +1 more
TL;DR: This paper considers a multiple input multiple output (MIMO) two-way relay channel, where each relay node has one or more antennas and a compress and forward strategy is proposed and its DM-tradeoff is derived.
Journal ArticleDOI
Transmission Capacity of Ad-hoc Networks With Multiple Antennas Using Transmit Stream Adaptation and Interference Cancellation
Rahul Vaze,Robert W. Heath +1 more
TL;DR: Borders on the transmission capacity as a function of the number of antennas used for transmission, and the spatial receive degrees of freedom used for interference cancelation at the receiver are presented.
Proceedings ArticleDOI
Transmission capacity of ad-hoc networks with multiple antennas using transmit stream adaptation and interference cancelation
Rahul Vaze,Robert W. Heath +1 more
TL;DR: Using the obtained bounds, the optimal number of data streams to transmit, and the optimal SRDOF to use for interference cancellation are derived that provide the best scaling of the transmission capacity with the number of antennas.
Proceedings ArticleDOI
Using random shape theory to model blockage in random cellular networks
TL;DR: A stochastic model is proposed to quantify blockages due to shadowing, using methods from random shape theory to illustrate coverage and connectivity as a function of the metrics of blockages, such as the density and the average size of buildings.