Z
Zhongshan Zhang
Researcher at Beijing Institute of Technology
Publications - 194
Citations - 3959
Zhongshan Zhang is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Relay. The author has an hindex of 26, co-authored 185 publications receiving 3322 citations. Previous affiliations of Zhongshan Zhang include Beijing University of Posts and Telecommunications & Alcatel-Lucent.
Papers
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Full duplex techniques for 5G networks: self-interference cancellation, protocol design, and relay selection
TL;DR: It is shown that numerous open challenges, such as efficient SI suppression, high-performance FD MAC-layer protocol design, low power consumption, and hybrid FD/HD designs, have to be tackled before successfully implementing FD-based systems.
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Full-Duplex Wireless Communications: Challenges, Solutions, and Future Research Directions
TL;DR: This treatise discusses a range of critical issues related to the implementation, performance enhancement and optimization of FD systems, including important topics such as hybrid FD/HD scheme, optimal relay selection and optimal power allocation, etc.
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On Swarm Intelligence Inspired Self-Organized Networking: Its Bionic Mechanisms, Designing Principles and Optimization Approaches
TL;DR: This paper surveys different aspects of bio-inspired mechanisms and examines various algorithms that have been applied to artificial SON systems and discusses advantages, drawbacks, and further design challenges of variant algorithms.
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Self-organization paradigms and optimization approaches for cognitive radio technologies: a survey
TL;DR: In this article, a survey of cognitive radio functionalities with self-organization features is presented, including critical functionalities of MAC and network-layer operations, including common control channel management, cooperative spectrum sensing, bioinspired spectrum sharing, network scalability and adaptive routing.
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Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks
TL;DR: It is proved that the optimization problem in the second scenario can be converted into a convex-optimization problem, which can be solved efficiently and reliably.