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David Tse

Researcher at Stanford University

Publications -  454
Citations -  70055

David Tse is an academic researcher from Stanford University. The author has contributed to research in topics: Communication channel & Channel capacity. The author has an hindex of 92, co-authored 438 publications receiving 67248 citations. Previous affiliations of David Tse include AT&T & University of California, Berkeley.

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Output MAI distributions of linear MMSE multiuser receivers in DS-CDMA systems

TL;DR: The Gaussianity justifies the use of single-user Gaussian codes for CDMA systems with linear MMSE receivers, and implies that from the viewpoints of detection and channel capacity, signal-to-interference ratio (SIR) is the key parameter that governs the performance of the MMSE receiver in a CDMA system.
Proceedings ArticleDOI

Prism: Deconstructing the Blockchain to Approach Physical Limits

TL;DR: Prism, a new proof-of-work blockchain protocol, which can achieve 1) security against up to 50% adversarial hashing power; 2) optimal throughput up to the capacity C of the network; 3) confirmation latency for honest transactions proportional to the propagation delay D; and eventual total ordering of all transactions.
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Outage Capacity of the Fading Relay Channel in the Low-SNR Regime

TL;DR: While the standard Amplify-Forward protocol performs very poorly in this regime, a modified version of this protocol is optimal and achieves the outage capacity of the network and can be achieved without a priori channel knowledge at the receivers.
Proceedings ArticleDOI

Bounds on the capacity region of a class of interference channels

TL;DR: A new outer bound to the capacity region of a certain class of interference channels is proved, and the gap between it and the Han-Kobayashi inner bound is quantified.
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Linear multiuser receivers in random environments

TL;DR: This work studies the signal-to-interference performance of linear multiuser receivers in random environments, where signals from the users arrive in "random directions", and shows that for both the decorrelator and the minimum mean-square error (MMSE) receiver, the variance of the Sir distribution decreases like 1/N, and the SIR distribution is asymptotically Gaussian.