Cheng-Xiang Wang - Selected Publications#

1. C.-X. Wang*, F. Haider, X. Gao, X.-H. You, Y. Yang, D. Yuan, H. Aggoune, H. Haas, S. Fletcher, and E. Hepsaydir, “Cellular architecture and key technologies for 5G wireless communication networks,” IEEE Communications Magazine, vol. 52, no. 2, pp. 122–130, February 2014. (2019 JCR Impact Factor: 10.356)
(DOI: 10.1109/MCOM.2014.6736752, https://ieeexplore.ieee.org/document/6736752,
https://scholar.google.co.uk/scholar?hl=en&as_sdt=2005&sciodt=0%2C5&cites=1691521388271915672&scipsc=&q=Cellular+Architecture+and+Key+Technologies+for+5G+Wireless+Communication+Networks&btnG=, 1872 citations)

This Highly Cited Paper proposed a ground-breaking fifth generation (5G) cellular architecture with separated indoor and outdoor scenarios to avoid penetration loss, and analyzed 5G key enabling technologies, when 5G research was still in its infancy and there was no precise definition for 5G at that time. This pioneering work has had very significant and far-reaching impact on both academia and industry, leading to new 5G technology and standardisation developments evidenced by extensive citations (10.1109/JSAC.2017.2692307; 10.1109/TCOMM.2015.2505281; 10.1109/JSAC.2017.2692307; etc.). Also, it has been widely accepted by telecommunications industry, e.g., China Mobile (icl@chinamobile.com, 10.1109/MCOM.2015.7105669), Samsung Electronics (shangbin.wu@samsung.com, 10.1109/COMST.2016.2532458), Hutchison 3G UK (erol.hepsaydir@three.co.uk), LG Electronics (10.1109/COMST.2015.2403614), etc. This paper was nominated to receive the IEEE Communications Society Fred W. Ellersick Prize 2016 (geokarag@auth.gr) and the IEEE Communications Society Best Tutorial Paper Award 2019 (erik.g.larsson@liu.se), and formed part of several Invited Keynote Speeches such as AICWC’15 (pingzhifan@foxmail.com) and Tutorials such as IEEE ICC’15 (https://icc2015.ieee-icc.org/sites/icc2015.ieee-icc.org/files/u39/Tutorial_T16.pdf).

2. A. Ghazal, C.-X. Wang*, B. Ai, D. Yuan, and H. Haas, “A non-stationary wideband MIMO channel model for high-mobility intelligent transportation systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 2, pp. 885–897, April 2015. (2019 JCR Impact Factor: 5.744)
(DOI: 10.1109/TITS.2014.2345956, https://ieeexplore.ieee.org/document/6895284,
https://scholar.google.co.uk/scholar?cites=1691521388271915672&as_sdt=2005&sciodt=0,5&hl=en, 127 citations)

This is the first geometry based stochastic channel model with time-varying parameters that can accurately capture the non-stationary properties and large Doppler spread of high-speed train (HST) wireless communication systems. This HST channel model has been adopted by Huawei (zhouhongrui@huawe.com) for simulations of HST wireless communication systems and time-continuous channels with long traveling paths, adopted by China 973 project (No.2012CB316100, pingzhifan@foxmail.com) for simulating HST wireless communication systems, and highly influential in stimulating standardisation developments (ITU Document 3K/62-E, https://www.itu.int/md/R12-WP3K-C-0062/en; 5G white paper “5G Enabler: High Mobility Support”, http://www.c114.com.cn/news/41/a959609.html) and international researches (10.1109/ACCESS.2016.2518085 ; 10.1109/TVT.2016.2548563; 10.1109/COMST.2015.2425294; 10.1109/MVT.2016.2549995; 10.1109/MCOM.2016.7509384; etc.). It contributed to several Invited Keynote Speeches such as HMWC’15 (https://meeting.xidian.edu.cn/conference/hmwc2015/index.htm) and Tutorials such as IEEE ICC’15 (https://icc2015.ieee-icc.org/sites/icc2015.ieee-icc.org/files/u39/Tutorial_T16.pdf).

3. S. Wu, C.-X. Wang*, H. Haas, H. Aggoune, M. M. Alwakeel, and B. Ai, “A non-stationary wideband channel model for massive MIMO communication systems,” IEEE Transactions on Wireless Communications, vol. 14, no. 3, pp. 1434–1446, March 2015. (2019 JCR Impact Factor: 6.394)
(DOI: 10.1109/TWC.2014.2366153, https://ieeexplore.ieee.org/document/6942232,
https://scholar.google.co.uk/scholar?cites=6712455846102916169&as_sdt=2005&sciodt=0,5&hl=en, 116 citations)

This important work proposed the first non-stationary wideband multi-confocal ellipse channel model that can realistically characterise 5G massive multiple-input multiple-output (MIMO) channels, i.e., spherical wavefront and spatial non-stationarity, having been adopted by Huawei (zhongzhimeng@huawei.com) for 5G massive MIMO system simulations and Samsung Electronics UK (shangbin.wu@samsung.com) in system-level simulations on network throughput in order to obtain a more realistic approximation to scenarios where 5G base stations were equipped with massive antenna arrays. This work has been widely cited by various international research groups (10.1109/TWC.2016.2535310; 10.1109/TWC.2018.2843370; 10.1109/TVT.2018.2828866; 10.1109/TWC.2019.2922913; etc.) and industry, e.g., ZTE (10.1109/TWC.2017.2695188), China Mobile (10.1109/VTCFall.2019.8891457), Huawei (10.1109/MCOM.2016.7509384, 10.1109/MAP.2016.2630020), etc. It formed part of an Invited Plenary Talk in WPMC’16 (http://www.wpmc2016.org) and several Tutorials such as European Wireless’15 (https://ew2015.european-wireless.org).

4. J. Huang, C.-X. Wang*, R. Feng, J. Sun, W. Zhang, and Y. Yang, “Multi-frequency mmWave massive MIMO channel measurements and characterization for 5G wireless communication systems,” IEEE Journal on Selected Areas in Communications, vol. 35, no. 7, pp. 1591–1605, July 2017. (2019 JCR Impact Factor: 9.302)
(DOI: 10.1109/JSAC.2017.2699381, https://ieeexplore.ieee.org/document/7914746,
https://scholar.google.co.uk/scholar?cites=11463998396110145906&as_sdt=2005&sciodt=0,5&hl=en, 102 citations)

This remarkable work carried out the first comprehensive millimeter wave (mmWave) massive MIMO channel measurements at different frequency bands under the same communication environment and proposed corresponding channel models, which have revealed how channel characteristics change with different mmWave frequencies and fully validated new massive MIMO channel characteristics. The work has been highly influential in stimulating researches in mmWave massive MIMO channel measurements and modeling, widely cited by various international research groups (10.1109/TCOMM.2018.2889487; 10.1109/ACCESS.2019.2923538; 10.1109/LAWP.2018.2872051; 10.1109/ACCESS.2019.2921405; etc.) and industry, e.g., China Mobile and Nokia Bell Laboratories (10.1109/JSAC.2017.2719924), and Spark New Zealand (10.1109/TVT.2019.2963076). It contributed to several Invited Keynote Speeches such as IEEE 5G Tutorial’17 (https://futurenetworks.ieee.org/education/ieee-5g-tutorial-series/shanghai-edition) and Tutorials such as IEEE/CIC ICCC’18 (https://iccc2018.ieee-iccc.org/program/invited-talks-2).

5. Y. Yuan, C.-X. Wang*, Y. He, M. M. Alwakeel, and H. Aggoune, “3D wideband non-stationary geometry-based stochastic models for non-isotropic MIMO vehicle-to-vehicle channels,” IEEE Transactions on Wireless Communications, vol. 14, no. 12, pp. 6883–6895, December 2015. (2019 JCR Impact Factor: 6.394)
(DOI: 10.1109/TWC.2015.2461679, https://ieeexplore.ieee.org/document/7169607,
https://scholar.google.co.uk/scholar?cites=4981843433038969183&as_sdt=2005&sciodt=0,5&hl=en, 84 citations)

This extraordinary work proposed the first three-dimensional generic non-stationary wideband geometry based stochastic model that can adaptively characterise a wide variety of vehicle-to-vehicle (V2V) scenarios, having the ability to study the impact of vehicular traffic density on channel characteristics. This work has created a new era of non-stationary V2V channel modeling, with major applications to intelligent transportation systems, having been adopted by National Instruments (yang.wang@ni.com) for vehicle-to-X (V2X) testing of global standards and Huawei (hua.huang@huawei.com) for testing ad hoc network solutions. It has been highly influential in stimulating researches of various international research groups (10.1109/TWC.2018.2824804; 10.1109/TAP.2018.2839758; etc.) and industry, e.g., ReachRF LLC (10.1109/MASS.2017.66). It formed part of several Invited Talks such as AICWC’17 (https://events.vtools.ieee.org/m/48347) and Tutorials such as IEEE/CIC ICCC’16 (https://iccc2016.ieee-iccc.org/program/tutorials).

6. P. Patcharamaneepakorn, S. Wu, C.-X. Wang*, H. Aggoune, M. M. Alwakeel, X. Ge, and M. D. Renzo, “Spectral, energy and economic efficiency of 5G multi-cell massive MIMO systems with generalized spatial modulation,” IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9715–9731, Dec. 2016. (2019 JCR Impact Factor: 5.339)
(DOI: 10.1109/TVT.2016.2526628, https://ieeexplore.ieee.org/abstract/document/7401108,
https://scholar.google.co.uk/scholar?hl=en&as_sdt=2005&sciodt=0%2C5&cites=2992557599334266535&scipsc=&q=Spectral%2C+energy+and+economic+efficiency+of+5G+multi-cell+massive+MIMO+systems+with+generalized+spatial+modulation&btnG=, 76 citations)

This important work for the first time investigated the trade-off among spectral, energy, and economic efficiency of 5G multi-cell multi-user massive MIMO systems with a novel general spatial modulation scheme. It has been widely cited by various international research groups (10.1109/TWC.2018.2791518; 10.1109/ACCESS.2017.2668420; 10.1109/TGCN.2018.2809729; 10.1109/TCOMM.2019.2909017; etc.). It contributed to an Invited Keynote Speech in I-SPAN’17 (http://cse.stfx.ca/~ISPAN2017/keynotes.php).

7. X. Wu, C.-X. Wang*, J. Sun, J. Huang, R. Feng, Y. Yang, and X. Ge, “60-GHz millimeter-wave channel measurements and modeling for indoor office environments,” IEEE Transactions on Antennas and Propagation, vol. 65, no. 4, pp. 1912–1924, April 2017. (2019 JCR Impact Factor: 4.435)
(DOI: 10.1109/TAP.2017.2669721, https://ieeexplore.ieee.org/document/7857002,
https://scholar.google.co.uk/scholar?cites=4581242183605020319&as_sdt=2005&sciodt=0,5&hl=en, 84 citations)

This key work carried out comprehensive 60 GHz millimeter wave (mmWave) indoor channel measurements and for the first time proved the identity of two widely used channel measurement methods, i.e., rotated directional antenna-based method and uniform virtual array-based method, to capture angle information of multipath components. The work has been highly influential in stimulating researches in mmWave channel measurements and modeling, widely cited by various international research groups (10.1109/TCOMM.2018.2870378; 10.1109/TCOMM.2019.2924889; 10.1109/TAP.2017.2769133; 10.1109/ACCESS.2017.2725919; etc.) and industry, e.g., Nokia Bell Laboratories (10.1109/GLOCOMW.2018.8644245). It formed part of several Invited Keynote Speeches such as IEEE 5G Tutorial’17 (https://futurenetworks.ieee.org/education/ieee-5g-tutorial-series/shanghai-edition) and Tutorials such as IEEE/CIC ICCC’18 (https://iccc2018.ieee-iccc.org/program/invited-talks-2).

8. S. Wu, C.-X. Wang*, H. Aggoune, M. M. Alwakeel, and X. You, “A general 3D non-stationary 5G wireless channel model,” IEEE Transactions on Communications, vol. 66, no. 7, pp. 3065–3078, July 2018. (2019 JCR Impact Factor: 5.690)
(DOI: 10.1109/TCOMM.2017.2779128, https://ieeexplore.ieee.org/document/8125724,
https://scholar.google.co.uk/scholar?hl=en&as_sdt=0%2C5&q=A+general+3-D+non-stationary+5G+wireless+channel+model&btnG=, 82 citations)

This pioneering work proposed the first general three-dimensional space-time non-stationary geometry based stochastic model for 5G wireless communication systems, having the ability to model massive MIMO, vehicle-to-vehicle, high-speed train, and millimeter wave communication scenarios. The proposed model was used by Samsung Electronics UK (shangbin.wu@samsung.com) in performance evaluations of 5G wireless communication systems for various scenarios including urban micro/macro cell and high mobility scenarios since conventional channel models do not have sufficient interpretation of non-stationarities of the channel. It was also applied to 3GPP contributions [R1-162721][R1-162722] for the study item of new radio channel model in 3GPP RAN1 [T.R. 38.901], as well as the COST CA15104 (IRACON) white paper “New Localization Methods for 5G Wireless Systems and the Internet-of-Things” (http://www.iracon.org/wp-content/uploads/2018/03/IRACON-WP2.pdf). It has been highly influential in stimulating researches of various international research groups (10.1109/TVT.2018.2865498; 10.1109/TAES.2019.2917989; 10.1109/WCNCW.2019.8902685; etc.) and industry, e.g., Spark New Zealand (10.1109/TVT.2019.2963076) and Intel (10.1109/ICUMT48472.2019.8971006). It formed part of several Invited Keynote Speeches such as IEEE ComComAp’19 (http://comcomap.net/2019/keynote-3) and Tutorials such as IEEE ICC’19 (https://icc2019.ieee-icc.org/program/tutorials#tut-33).

9. F. Haider, C.-X. Wang*, H. Haas, E. Hepsaydir, X. Ge, and D. Yuan, “Spectral and energy efficiency analysis for cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 14, no. 6, pp. 2969–2980, June 2015. (2019 JCR Impact Factor: 6.394)
(DOI: 10.1109/TWC.2015.2398864, https://ieeexplore.ieee.org/document/7029702,
https://scholar.google.co.uk/scholar?cites=14302813002741276118&as_sdt=2005&sciodt=0,5&hl=en, 58 citations)

This key work studied both the link-level and system-level spectral and energy efficiency of cognitive radio (CR) networks with practical channel/system models and interference power constraints, which offered an essential tool for investigating ultimate performance limit of CR networks and is of great significance in solving the spectrum shortage problem in the 5G era. The work has been adopted by Hutchison 3G UK (Fourat.Haider2@three.co.uk) for testing their spectrum management scheme, and widely cited by various international research groups (10.1109/TVT.2015.2443046; 10.1109/JSAC.2016.2611982; 10.1109/TCCN.2019.2903503; etc.) and industry, e.g., Tenaga Nasional Berhad Information and Communication Technology (TNB-ICT, 10.1109/ACCESS.2020.2966271). It contributed to an Invited Talk in IEEE Online Green Communications 2015 (http://onlinegreencomm2015.ieee-onlinegreencomm.org/program.html) and a Tutorial in IEEE VTC’15-Spring (http://www.ieeevtc.org/vtc2015spring/tutorials.php#tut_5).

10. Y. Liu, C.-X. Wang*, C. F. Lopez, G. Goussetis, Y. Yang, and G. K. Karagiannidis, “3D non-stationary wideband tunnel channel models for 5G high-speed train wireless communications,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 1, pp. 259-272, January 2020. (2019 JCR Impact Factor: 5.744)
(DOI: 10.1109/TITS.2019.2890992, https://ieeexplore.ieee.org/document/8641489,
https://scholar.google.co.uk/scholar?hl=en&as_sdt=0%2C5&q=3D+Non-Stationary+Wideband+Tunnel+Channel+Models+for+5G+High-Speed+Train+Wireless+Communications&btnG=, 8 citations)

This influential work proposed the first three-dimensional non-stationary wideband channel model for high-speed train (HST) tunnel scenarios in 5G wireless communication systems. The proposed channel model can accurately describe specific features of HST tunnel channels, and is important for designing new generations of HST communication systems and intelligent transportation systems. It has stimulated industrial researches, e.g., Huawei (10.1109/ACCESS.2019.2937405).