K
Kezhi Wang
Researcher at Northumbria University
Publications - 213
Citations - 8175
Kezhi Wang is an academic researcher from Northumbria University. The author has contributed to research in topics: Computer science & Mobile edge computing. The author has an hindex of 28, co-authored 175 publications receiving 3469 citations. Previous affiliations of Kezhi Wang include Beijing Normal University & Central South University.
Papers
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Journal ArticleDOI
Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces
TL;DR: This paper proposes to invoke an IRS at the cell boundary of multiple cells to assist the downlink transmission to cell-edge users, whilst mitigating the inter-cell interference, which is a crucial issue in multicell communication systems.
Posted Content
Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer
Cunhua Pan,Hong Ren,Kezhi Wang,Maged Elkashlan,Arumugam Nallanathan,Jiangzhou Wang,Lajos Hanzo +6 more
TL;DR: An intelligent reflecting surface (IRS) is invoked for enhancing the energy harvesting performance of a simultaneous wireless information and power transfer (SWIPT) aided system and the proposed BCD algorithm converges rapidly, which is appealing for practical applications.
Journal ArticleDOI
Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions
Cunhua Pan,Hong Ren,Kezhi Wang,Jonas Florentin Kolb,Maged Elkashlan,Ming Chen,Marco Di Renzo,Yang Hao,Jiangzhou Wang,A. Lee Swindlehurst,Xiaohu You,Lajos Hanzo +11 more
TL;DR: In this article, the authors aim to answer four fundmental questions: 1) Why do we need RISs? 2) What is an RIS? 3] What are RIS's applications? 4) What are the relevant challenges and future research directions?
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A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels
TL;DR: In this paper, the robust beamforming based on the imperfect cascaded BS-IRS-user channels at the transmitter was studied, where the transmit power minimization problems were formulated subject to the worst-case rate constraints under the bounded CSI error model, and the rate outage probability constraint under the statistical CSI estimation model, respectively.
Journal ArticleDOI
Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer
Cunhua Pan,Hong Ren,Kezhi Wang,Maged Elkashlan,Arumugam Nallanathan,Jiangzhou Wang,Lajos Hanzo +6 more
TL;DR: In this paper, an intelligent reflecting surface (IRS) is invoked for enhancing the energy harvesting performance of a simultaneous wireless information and power transfer (SWIPT) aided system, where a multiantenna aided base station (BS) communicates with several multi-antenna assisted information receivers (IRs), while guaranteeing the EE requirement of the energy receivers (ERs).