Guowang Miao

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Guowang Miao
Alma mater Tsinghua University, Georgia Institute of Technology
Occupation(s)Professor, Author
Known forPatents, books, LTE-A standardization [1]
Notable workEnergy and Spectrum Efficient Wireless Network Design

Guowang Miao is a system engineer and researcher focusing on next-generation mobile Internet and wireless systems. He researches primarily the design, signal processing, and optimization of cloud platforms and networking systems. He is the author of Fundamentals of Mobile Data Networks and Energy and Spectrum Efficient Wireless Network Design. [2] [3] [4] [5] [6] [7] [1] [8]

Contents

Education

Guowang Miao received his bachelor's degree from Tsinghua University and his master's degree and Ph.D. from Georgia Institute of Technology, Atlanta. [7]

Career

Guowang Miao worked with Intel Labs as a Research Engineer, Samsung Research America as a Senior Standard Engineer and a 3GPP LTE-A RAN1/4 Delegate, and KTH first as an Assistant Professor and then as a tenured Associate Professor and Docent. [7]

He won an Individual Gold Award from Samsung Telecom America, in 2011, for his work on LTE-A standardization. [7]

During his services for various organizations, he has published more than 100 research papers, some of which are Essential Science Indicators (ESI) highly cited. [9] [10] [11] [12] [13] [14] He has more than a dozen patents granted and many more filed. Several of his patented technologies were adopted as essential in 4G and 5G standards and are being used globally. [7] He has delivered many tutorials on energy-efficient design related topics at many international conferences. [15] [16] [17] [18] He also served as a technical program committee member for international conferences and also serves on the editorial board of some international journals. [7] [1] [19] [20] [15] [21] [17] [16] [18]

Publications

Books

Patents

Related Research Articles

<span class="mw-page-title-main">Orthogonal frequency-division multiplexing</span> Method of encoding digital data on multiple carrier frequencies

In telecommunications, orthogonal frequency-division multiplexing (OFDM) is a type of digital transmission used in digital modulation for encoding digital (binary) data on multiple carrier frequencies. OFDM has developed into a popular scheme for wideband digital communication, used in applications such as digital television and audio broadcasting, DSL internet access, wireless networks, power line networks, and 4G/5G mobile communications.

<span class="mw-page-title-main">Time-division multiple access</span> Channel access method for networks using a shared communications medium

Time-division multiple access (TDMA) is a channel access method for shared-medium networks. It allows several users to share the same frequency channel by dividing the signal into different time slots. The users transmit in rapid succession, one after the other, each using its own time slot. This allows multiple stations to share the same transmission medium while using only a part of its channel capacity. Dynamic TDMA is a TDMA variant that dynamically reserves a variable number of time slots in each frame to variable bit-rate data streams, based on the traffic demand of each data stream.

In telecommunications and computer networks, a channel access method or multiple access method allows more than two terminals connected to the same transmission medium to transmit over it and to share its capacity. Examples of shared physical media are wireless networks, bus networks, ring networks and point-to-point links operating in half-duplex mode.

4G is the fourth generation of broadband cellular network technology, succeeding 3G and preceding 5G. A 4G system must provide capabilities defined by ITU in IMT Advanced. Potential and current applications include amended mobile web access, IP telephony, gaming services, high-definition mobile TV, video conferencing, and 3D television.

A cognitive radio (CR) is a radio that can be programmed and configured dynamically to use the best channels in its vicinity to avoid user interference and congestion. Such a radio automatically detects available channels, then accordingly changes its transmission or reception parameters to allow more concurrent wireless communications in a given band at one location. This process is a form of dynamic spectrum management.

Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind.

Link adaptation, comprising adaptive coding and modulation (ACM) and others, is a term used in wireless communications to denote the matching of the modulation, coding and other signal and protocol parameters to the conditions on the radio link. For example, WiMAX uses a rate adaptation algorithm that adapts the modulation and coding scheme (MCS) according to the quality of the radio channel, and thus the bit rate and robustness of data transmission. The process of link adaptation is a dynamic one and the signal and protocol parameters change as the radio link conditions change—for example in High-Speed Downlink Packet Access (HSDPA) in Universal Mobile Telecommunications System (UMTS) this can take place every 2 ms.

<span class="mw-page-title-main">Orthogonal frequency-division multiple access</span> Multi-user version of OFDM digital modulation

Orthogonal frequency-division multiple access (OFDMA) is a multi-user version of the popular orthogonal frequency-division multiplexing (OFDM) digital modulation scheme. Multiple access is achieved in OFDMA by assigning subsets of subcarriers to individual users. This allows simultaneous low-data-rate transmission from several users.

Proportional-fair scheduling is a compromise-based scheduling algorithm. It is based upon maintaining a balance between two competing interests: Trying to maximize the total throughput of the network while at the same time allowing all users at least a minimal level of service. This is done by assigning each data flow a data rate or a scheduling priority that is inversely proportional to its anticipated resource consumption.

Power control, broadly speaking, is the intelligent selection of transmitter power output in a communication system to achieve good performance within the system. The notion of "good performance" can depend on context and may include optimizing metrics such as link data rate, network capacity, outage probability, geographic coverage and range, and life of the network and network devices. Power control algorithms are used in many contexts, including cellular networks, sensor networks, wireless LANs, and DSL modems.

Multi-carrier code-division multiple access (MC-CDMA) is a multiple access scheme used in OFDM-based telecommunication systems, allowing the system to support multiple users at the same time over same frequency band.

In radio resource management for wireless and cellular networks, channel allocation schemes allocate bandwidth and communication channels to base stations, access points and terminal equipment. The objective is to achieve maximum system spectral efficiency in bit/s/Hz/site by means of frequency reuse, but still assure a certain grade of service by avoiding co-channel interference and adjacent channel interference among nearby cells or networks that share the bandwidth.

Radio resource management (RRM) is the system level management of co-channel interference, radio resources, and other radio transmission characteristics in wireless communication systems, for example cellular networks, wireless local area networks, wireless sensor systems, and radio broadcasting networks. RRM involves strategies and algorithms for controlling parameters such as transmit power, user allocation, beamforming, data rates, handover criteria, modulation scheme, error coding scheme, etc. The objective is to utilize the limited radio-frequency spectrum resources and radio network infrastructure as efficiently as possible.

Hybrid Scheduling is a class of scheduling mechanisms that mix different scheduling criteria or disciplines in one algorithm. For example, scheduling uplink and downlink traffic in a WLAN using a single discipline or framework is an instance of hybrid scheduling. Other examples include a scheduling scheme that can provide differentiated and integrated (guaranteed) services in one discipline. Another example could be scheduling of node communications where centralized communications and distributed communications coexist. Further examples of such schedulers are found in the following articles:

Multi-user MIMO (MU-MIMO) is a set of multiple-input and multiple-output (MIMO) technologies for multipath wireless communication, in which multiple users or terminals, each radioing over one or more antennas, communicate with one another. In contrast, single-user MIMO (SU-MIMO) involves a single multi-antenna-equipped user or terminal communicating with precisely one other similarly equipped node. Analogous to how OFDMA adds multiple-access capability to OFDM in the cellular-communications realm, MU-MIMO adds multiple-user capability to MIMO in the wireless realm.

In radio, cooperative multiple-input multiple-output is a technology that can effectively exploit the spatial domain of mobile fading channels to bring significant performance improvements to wireless communication systems. It is also called network MIMO, distributed MIMO, virtual MIMO, and virtual antenna arrays.

<span class="mw-page-title-main">MIMO</span> Use of multiple antennas in radio

In radio, multiple-input and multiple-output (MIMO) is a method for multiplying the capacity of a radio link using multiple transmission and receiving antennas to exploit multipath propagation. MIMO has become an essential element of wireless communication standards including IEEE 802.11n, IEEE 802.11ac, HSPA+ (3G), WiMAX, and Long Term Evolution (LTE). More recently, MIMO has been applied to power-line communication for three-wire installations as part of the ITU G.hn standard and of the HomePlug AV2 specification.

Cross-layer optimization is an escape from the pure waterfall-like concept of the OSI communications model with virtually strict boundaries between layers. The cross layer approach transports feedback dynamically via the layer boundaries to enable the compensation for overload, latency or other mismatch of requirements and resources by any control input to another layer, but that layer directly affected by the detected deficiency.

Wi-Fi 6, or IEEE 802.11ax, is an IEEE standard from the Wi-Fi Alliance, for wireless networks (WLANs). It operates in the 2.4 GHz and 5 GHz bands, with an extended version, Wi-Fi 6E, that adds the 6 GHz band. It is an upgrade from Wi-Fi 5 (802.11ac), with improvements for better performance in crowded places. Wi-Fi 6 covers frequencies in license-exempt bands between 1 and 7.125 GHz, including the commonly used 2.4 GHz and 5 GHz, as well as the broader 6 GHz band.

Jianwei Huang is a Chinese computer scientist and electrical engineer. He is a Presidential Chair Professor and Associate Vice President of The Chinese University of Hong Kong, Shenzhen. He is also an Adjunct Professor in the Department of Information Engineering at the Chinese University of Hong Kong. He is a guest professor of Southeast University.

References

  1. 1 2 3 "The Next Big Thing - SIG ICT". Eitdigital.eu. Retrieved 1 November 2016.
  2. ↑ "Fundamentals of Mobile Data Networks download". Ajofefamoknu.bloggersdelight.dk. Retrieved 1 November 2016.
  3. ↑ Dr. Guowang Miao. "Cross-Layer Design for Energy-Efficient Wireless Communications" (PDF). Utdallas.edu. Retrieved 27 November 2017.
  4. ↑ "Program". Csit.carleton.ca. Retrieved 1 November 2016.
  5. ↑ "Archived copy" (PDF). Archived from the original (PDF) on 2016-11-03. Retrieved 2016-11-01.{{cite web}}: CS1 maint: archived copy as title (link)
  6. ↑ A.Ş., Pandora Yayın ve Kitap Hizmetleri (3 March 2016). Pandora - Fundamentals of Mobile Data Networks - Guowang Miao - Kitap -. ISBN   9781107143210 . Retrieved 1 November 2016.{{cite book}}: |website= ignored (help)
  7. 1 2 3 4 5 6 "Guowang Miao - Researcher". ieee.org. Retrieved 1 Jan 2023.
  8. ↑ [ dead link ]
  9. ↑ "InCites™ [v2.32] - Sign In". Esi.incites.thomsonreuters.com. Retrieved 1 November 2016.[ permanent dead link ]
  10. ↑ G. W. Miao, N. Himayat, G. Y. Li, and S. Talwar, "Distributed interference-aware energy-efficient power optimization", IEEE Transactions on Wireless Communications, vol. 10, no. 4, pp. 1323-1333, Apr. 2011.
  11. ↑ G. W. Miao, "Energy-efficient uplink multi-user MIMO", IEEE Transactions on Wireless Communications, vol. 12, no. 5, pp. 2302-2313, May, 2013.
  12. ↑ G. W. Miao, N. Himayat, and G. Y. Li, Energy-efficient link adaptation in frequency-selective channels, IEEE Transactions on Communications, vol. 58, no.2, pp. 545-554, Feb. 2010.
  13. ↑ G. W. Miao, N. Himayat, G. Y. Li, and A. Swami, Cross-layer optimization for energy-efficient wireless communications: a survey, (invited), Wiley Journal Wireless Commun. and Mobile Computing, vol.9, no.4, pp. 529-542, Apr. 2009.
  14. ↑ G. W. Miao, N. Himayat, G. Y. Li, and S. Talwar, Low-complexity energy-efficient scheduling for uplink OFDMA, IEEE Transactions on Communications, vol. 60, no. 1, pp. 112-120, Jan., 2012.
  15. 1 2 "Welcome to IEEE GLOBECOM 2013". Globecom2013.ieee-globecom.org. Retrieved 1 November 2016.
  16. 1 2 "VTC2012-Fall in Québec City: Tutorials". Ieeevtc.org. Retrieved 1 November 2016.
  17. 1 2 "Program. IEEE GLOBECOM 2011". Globecom2013.ieee-globecom.org. Retrieved 1 November 2016.
  18. 1 2 "IEEE PIMRC 2012 - program". Ieee-pimrc.org. Retrieved 1 November 2016.
  19. ↑ "Archived copy" (PDF). Archived from the original (PDF) on 2016-11-01. Retrieved 2016-11-01.{{cite web}}: CS1 maint: archived copy as title (link)
  20. ↑ "CCNC 2017 COMMITTEES - IEEE CCNC". Automation.sjtu.edu.cn. Retrieved 1 November 2016.
  21. ↑ "IEEE GLOBECOM 2012". Globecom2013.ieee-globecom.org. Retrieved 1 November 2016.
  22. ↑ Miao, Guowang; Song, Guocong (27 November 2014). Energy and Spectrum Efficient Wireless Network Design. Cambridge University Press. ISBN   9781107039889 . Retrieved 1 November 2016– via Google Books.
  23. ↑ "Patrons - IEEE ICC 2016". Icc2016.ieee-icc.org. Retrieved 1 November 2016.
  24. ↑ "NEW Fundamentals of Mobile Data Networks By Guowang Miao Hardcover Free Shipping". Ebay.com.au. Retrieved 1 November 2016.
  25. ↑ "KTH - "We are the first who raised the concept of energy-efficient and green OFDMA and designed it" with Guowang Miao". Ict-tng.kth.se. Archived from the original on 3 November 2016. Retrieved 1 November 2016.
  26. ↑ "KTH - Guowang Miao". Ict-tng.kth.se. Archived from the original on 3 November 2016. Retrieved 1 November 2016.
  27. ↑ "Download Ebook Fundamentals of Mobile Data Networks for free". Svadjba.net. Archived from the original on 3 November 2016. Retrieved 1 November 2016.
  28. ↑ [ dead link ]
  29. ↑ "Fundamentals of Mobile Data Networks book « Enifodilubagh's site". Blogs.rediff.com. Archived from the original on 5 March 2017. Retrieved 1 November 2016.
  30. ↑ "Energy and Spectrum Efficient Wireless Network Design". Cambridge.org. Retrieved 1 November 2016.
  31. ↑ "Top 10 Books on Amazon About Wireless Network Solutions - Part 2". Solutionsreview.com. 8 March 2016. Retrieved 1 November 2016.
  32. ↑ "Energy and Spectrum Efficient Wireless Network Design". Cambridge.org. Retrieved 1 November 2016.
  33. ↑ "Fundamentals of Mobile Data Networks". Cambridge.org. Retrieved 1 November 2016.
  34. ↑ "Probabilistic interference mitigation for wireless cellular networks". Google.com. Retrieved 1 November 2016.
  35. ↑ "Apparatus and method for channel measurement in radio link monitoring in a wireless network". Google.com. Retrieved 1 November 2016.
  36. ↑ "Methods and apparatus for enabling interference coordination in heterogeneous networks". Google.com. Retrieved 1 November 2016.
  37. ↑ "Energy-efficient link adaptation and resource allocation for wireless OFDMA systems". Google.com. Retrieved 1 November 2016.
  38. 1 2 "Espacenet - Home page". Worldwide.espacenet.com. Retrieved 1 November 2016.
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