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University of Waterloo

1. Aldubaikhy, Khalid. Low-Complexity Multi-User MIMO Algorithms for mmWave WLANs.

Degree: 2019, University of Waterloo

Very high throughput and high-efficiency wireless local area networks (WLANs) have become essential for today's significant global Internet traffic and the expected significant global increase of public WiFi hotspots. Total Internet traffic is predicted to expand 3.7-fold from 2017 to 2022. In 2017, 53% of overall Internet traffic used by WiFi networks, and that number is expected to increase to 56.8% by 2022. Furthermore, 80% of overall Internet traffic is expected to be video traffic by 2022, up from 70% in 2017. WiFi networks are also expected to move towards denser deployment scenarios, such as stadiums, large office buildings, and airports, with very high data rate applications, such as ultra-high definition video wireless streaming. Thus, in order to meet the predicted growth of wireless traffic and the number of WiFi networks in the world, an efficient Internet access solution is required for the current IEEE 802.11 standards. Millimeter wave (mmWave) communication technology is expected to play a crucial role in future wireless networks with large user populations because of the large spectrum band it can provide. To further improve spectrum efficiency over mmWave bands in WLANs with large numbers of users, the IEEE 802.11ay standard was developed from the traditional IEEE 802.11ad standard, aiming to support multi-user MIMO. Propagation challenges associated with mmWave bands necessitate the use of analog beamforming (BF) technologies that employ directional transmissions to determine the optimal sector beam between a transmitter and a receiver. However, the multi-user MIMO is not exploited, since analog BF is limited to a single-user, single-transmission. The computational complexity of achieving traditional multi-user MIMO BF methods, such as full digital BF, in the mmWave systems becomes significant due to the hardware constraints. Our research focuses on how to effectively and efficiently realize multi-user MIMO transmission to improve spectrum efficiency over the IEEE 802.11ay mmWave band system while also resolving the computational complexity challenges for achieving a multi-user MIMO in mmWave systems. This thesis focuses on MAC protocol algorithms and analysis of the IEEE 802.11ay mmWave WLANs to provide multi-user MIMO support in various scenarios to improve the spectrum efficiency and system throughput. Specifically, from a downlink single-hop scenario perspective, a VG algorithm is proposed to schedule simultaneous downlink transmission links while mitigating the multi-user interference with no additional computational complexity. From a downlink multi-hop scenario perspective, a low-complexity MHVG algorithm is conducted to realize simultaneous transmissions and improve the network performance by taking advantage of the spatial reuse in a dense network. The proposed MHVG algorithm permits simultaneous links scheduling and mitigates both the multi-user interference and co-channel interference based only on analog BF information, without the necessity for feedback overhead, such as channel…

Subjects/Keywords: millimeter wave; mmWave; IEEE 802.11ay; WLANs; wireless local area networks; WiFi networks; IEEE 802.11ad; multi-user MIMO; MU-MIMO; analog beamforming; directional transmissions; digital beamforming; hybrid beamforming; computational complexity; low complexity; MAC protocol algorithms; low-complexity MHVG algorithm; spatial reuse; dense network; multi-user interference; co-channel interference; channel state information; simultaneous downlink transmission; simultaneous uplink transmission

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APA (6th Edition):

Aldubaikhy, K. (2019). Low-Complexity Multi-User MIMO Algorithms for mmWave WLANs. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15227

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Aldubaikhy, Khalid. “Low-Complexity Multi-User MIMO Algorithms for mmWave WLANs.” 2019. Thesis, University of Waterloo. Accessed December 15, 2019. http://hdl.handle.net/10012/15227.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Aldubaikhy, Khalid. “Low-Complexity Multi-User MIMO Algorithms for mmWave WLANs.” 2019. Web. 15 Dec 2019.

Vancouver:

Aldubaikhy K. Low-Complexity Multi-User MIMO Algorithms for mmWave WLANs. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/10012/15227.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aldubaikhy K. Low-Complexity Multi-User MIMO Algorithms for mmWave WLANs. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15227

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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