S
Shaoshi Yang
Researcher at Beijing University of Posts and Telecommunications
Publications - 94
Citations - 2710
Shaoshi Yang is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: MIMO & Telecommunications link. The author has an hindex of 22, co-authored 83 publications receiving 2141 citations. Previous affiliations of Shaoshi Yang include Huawei & Wuhan University.
Papers
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Journal ArticleDOI
Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic
Taufik Abrão,Lucas Dias Hiera Sampaio,Shaoshi Yang,Kent Tsz Kan Cheung,Paul Jean Etienne Jeszensky,Lajos Hanzo +5 more
TL;DR: Simulation results demonstrate that the proposed scheme converges within a few Dinkelbach algorithm's iterations to the desired solution accuracy, and reveal that the optimally allocated power maximizing the EEE decays exponentially with respect to both the circuitry power and the QoS-exponent, while decaying linearly withrespect to the power amplifier inefficiency.
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Robust Beamforming and Jamming for Enhancing the Physical Layer Security of Full Duplex Radios
TL;DR: This paper investigates the physical layer security of a full-duplex base station (BS)-aided system in the worst case, where an uplink transmitter and a downlink receiver are equipped with a single antenna, while a powerful eavesdropper is equipped with multiple antennas.
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Space-Time Hierarchical-Graph Based Cooperative Localization in Wireless Sensor Networks
TL;DR: The analytical and numerical results provided demonstrate the superiority of the space-time hierarchical-graph based cooperative localization scheme over the benchmarking schemes considered.
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Limited Feedback-Based Interference Alignment for Interfering Multi-Access Channels
TL;DR: A limited feedback-based interference alignment (IA) scheme is proposed for the interfering multi-access channel (IMAC) that is able to achieve the minimum overall residual inter-cell interference (ICI) with the optimized transceivers under limited feedback.
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From Nominal to True A Posteriori Probabilities: An Exact Bayesian Theorem Based Probabilistic Data Association Approach for Iterative MIMO Detection and Decoding
TL;DR: This paper proposes an exact Bayesian theorem based logarithmic domain PDA (EB-Log-PDA) method, whose output has similar characteristics to the true APPs, and hence it is readily applicable to the classic IDD architecture of multiple-input-multiple-output (MIMO) systems using the general M-ary modulation.