100 Papers
341 Citations
Shaoshi Yang is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: MIMO & Computer science. The author has an hindex of 22, co-authored 83 publications. Previous affiliations of Shaoshi Yang include Huawei & Wuhan University.
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Papers
Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs
Shaoshi Yang,Lajos Hanzo +1 more
TL;DR: In this article, the authors provide a recital on the historic heritages and novel challenges facing massive/large-scale multiple-input multiple-output (LS-MIMO) systems from a detection perspective.
A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems
TL;DR: In this article, the authors provide a tutorial and survey of recent research and development efforts addressing this issue by using the technique of multi-objective optimization (MOO), and elaborate on various prevalent approaches conceived for MOO, such as the family of mathematical programming-based scalarization methods, and a variety of other advanced optimization techniques.
A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms and Open Problems
TL;DR: This paper provides a tutorial and survey of recent research and development efforts addressing this issue by using the technique of multi-objective optimization (MOO), and summarizes a range of recent studies of MOO in the context of WSNs.
An ESPRIT-Based Approach for 2-D Localization of Incoherently Distributed Sources in Massive MIMO Systems
TL;DR: The analysis shows that the estimation performance of the proposed approach improves when the large-scale/massive MIMO systems are employed and the approximate Cramér-Rao bound ofThe proposed estimator for the 2-D localization is derived.
Achieving Maximum Energy-Efficiency in Multi-Relay OFDMA Cellular Networks: A Fractional Programming Approach
TL;DR: The joint power and subcarrier allocation problem is solved in the context of maximizing the energy-efficiency of a multi-user, multi-relay orthogonal frequency division multiple access (OFDMA) cellular network, where the objective function is formulated as the ratio of the spectral-efficiency over the total power dissipation.