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Shuangfeng Han

Researcher at China Mobile Research Institute

Publications -  60
Citations -  9786

Shuangfeng Han is an academic researcher from China Mobile Research Institute. The author has contributed to research in topics: MIMO & Precoding. The author has an hindex of 29, co-authored 55 publications receiving 7360 citations.

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Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

TL;DR: The concept of software defined multiple access (SoDeMA) is proposed, which enables adaptive configuration of available multiple access schemes to support diverse services and applications in future 5G networks.
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Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G

TL;DR: A reference signal design for the hybrid beamform structure is presented, which achieves better channel estimation performance than the method solely based on analog beamforming, and can be conveniently utilized to guide practical LSAS design for optimal energy/ spectrum efficiency trade-off.
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Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

TL;DR: 6G with additional technical requirements beyond those of 5G will enable faster and further communications to the extent that the boundary between physical and cyber worlds disappears.
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Toward green and soft: a 5G perspective

TL;DR: The perspective of the 5G technologies with two major themes: green and soft is presented, showing that by rethinking the Shannon theorem and traditional cell-centric design, network capacity can be significantly increased while network power consumption is decreased.
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Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays

TL;DR: This paper proposes a successive interference cancelation (SIC)-based hybrid precoding with near-optimal performance and low complexity, and proposes a low-complexity algorithm to realize SIC-based Hybrid precoding, which can avoid the need for the singular value decomposition and matrix inversion.