T
Taesang Yoo
Researcher at Qualcomm
Publications - 287
Citations - 10045
Taesang Yoo is an academic researcher from Qualcomm. The author has contributed to research in topics: Wireless & Telecommunications link. The author has an hindex of 37, co-authored 281 publications receiving 9800 citations. Previous affiliations of Taesang Yoo include Seoul National University & Alcatel-Lucent.
Papers
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Journal ArticleDOI
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
Taesang Yoo,Andrea Goldsmith +1 more
TL;DR: It is shown that a zero-forcing beamforming (ZFBF) strategy, while generally suboptimal, can achieve the same asymptotic sum capacity as that of DPC, as the number of users goes to infinity.
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A survey on 3GPP heterogeneous networks
Aleksander Damnjanovic,J. Montojo,Yongbin Wei,Ji Tingfang,Tao Luo,Madhavan Srinivasan Vajapeyam,Taesang Yoo,Osok Song,Durga Prasad Malladi +8 more
TL;DR: The need for an alternative strategy, where low power nodes are overlaid within a macro network, creating what is referred to as a heterogeneous network is discussed, and a high-level overview of the 3GPP LTE air interface, network nodes, and spectrum allocation options is provided, along with the enabling mechanisms.
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Capacity and power allocation for fading MIMO channels with channel estimation error
Taesang Yoo,Andrea Goldsmith +1 more
TL;DR: Lower and upper bounds of mutual information under channel estimation error and tight lower bounds of ergodic and outage capacities and optimal transmitter power allocation strategies that achieve the bounds under perfect feedback are studied.
Journal ArticleDOI
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
TL;DR: This work analyzes the sum-rate performance of a multi- antenna downlink system carrying more users than transmit antennas, with partial channel knowledge at the transmitter due to finite rate feedback, and shows that having more users reduces feedback load.
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Cross-layer design of ad hoc networks for real-time video streaming
TL;DR: This work explores the potential synergies of exchanging information between different layers to support real-time video streaming and discusses key parameters used in the cross-layer information exchange along with the associated cross- layer adaptation.