Yinghui Cheng

China Electronics Technology Group Corporation

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Andrea Goldsmith

Princeton University

Xinwei Yue

Beijing Information Science & Technology University

Guoyan Li

China Electronics Technology Group Corporation

Tian Li

China Electronics Technology Group Corporation

Shlomo Shamai

Technion – Israel Institute of Technology

Ivana Marić

Stanford University

Nan Liu

Southeast University

Nan Liu

PLA Information Engineering University

Jincan Liu

China Electronics Technology Group Corporation

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China Electronics Technology Group Corporation

Stanford University

Technion – Israel Institute of Technology

Beihang University

PLA Information Engineering University

State Grid Corporation of China (China)

Princeton University

University of Southern California

Arizona State University

Qualcomm (United Kingdom)

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SC-Aided Spectrum Sharing Transmission in LEO Constellation Communication Systems

2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) (2023)

Tian Li Guoyan Li Jincan Liu Yinghui Cheng Xinwei Yue

Low Earth orbit (LEO) satellite communication (SATCOM) systems have advantages of low transmission delay and insignificant signal pathloss, which make it as an ideal solution for the long distance non-line of sight communication. As another character of the LEO SATCOM, ground users could be covered by multiple satellite nodes. In this paper, we study multiple nodes multiple users downlink transmission methods for the LEO overlapping area. Recognizing there exists a satellite beam gain difference for beam-center and beam-edge users, a spectrum sharing based transmission method with selection combining strategy is proposed. Thanks to the feature of multiple coverage, beam-edge users are able to choose the strongest satellite node. To give insights of the method, the expression of outage probability is further derived. Simulation results show that the outage probability performance can be improved by using the new method.

10.1109/icspcc59353.2023.10400334

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Capacity Bounds and Exact Results for the Cognitive Z-interference Channel

arXiv (Cornell University) (2011)

Nan Liu Ivana Marić Yinghui Cheng Andrea Goldsmith Shlomo Shamai

We study the discrete memoryless Z-interference channel (ZIC) where the transmitter of the pair that suffers from interference is cognitive. We first provide an upper bound on the capacity of this channel. We then show that, when the channel of the transmitter-receiver pair that does not experience interference is deterministic, our proposed upper bound matches the known lower bound provided by Cao and Chen in 2008. The obtained results imply that, unlike in the Gaussian cognitive ZIC, in the considered channel superposition encoding at the non-cognitive transmitter as well as Gel'fand-Pinsker encoding at the cognitive transmitter are needed in order to minimize the impact of interference. As a byproduct of the obtained capacity region, we obtain the capacity under the generalized Gel'fand-Pinsker conditions where a transmitter-receiver pair communicates in the presence of interference noncausally known at the encoder.

10.48550/arxiv.1112.2483

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Bounds and capacity results for the cognitive Z channel

Yinghui Cheng Nan Liu

We study the discrete memoryless Z channel where the non-broadcasting transmitter is cognitive and knows both messages of the broadcasting transmitter. We call this the cognitive Z channel. We first propose inner and outer bounds on the capacity of the cognitive Z channel. The achievability scheme we propose consists of superposition encoding, Gel'fand-Pinsker encoding and Marton's encoding scheme for the broadcast channel. We then show that our inner and outer bounds on the capacity region is tight when the the receiver without a crossover link sees a noiseless channel.

10.1109/icc.2012.6364059

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