Impact of Device Population on Beam Alignment Performance of 802.11ad

Millimeter Wave (MmWave) based communication standards including IEEE 802.11ad WiFi show great promise in supporting next generation service demands such as real-time streaming of ultra-high-definition video. However, MmWave signals suffers from high path loss and often required to have unobstructed line-of-sight. Narrow beamwidth antenna arrays along with adaptive beamforming is currently deployed to mitigate those issues. Nevertheless, the impact of device population on beam alignment has not yet been well studied in the literature. In this paper, we quantify the loss of antenna gain when there are multiple devices in the communication range completing for channel access to perform beamforming. We further study the link outage probability for devices with angular displacement similar to change in orientation of hand-held or head-worn devices in home wireless networks. The simulation results reveal that loss of antenna gain can be as high as 7dB and link outage probability increases up to 90% for 16 antenna sectors and 10 competing devices.

[1]  Yong Soo Cho,et al.  Application of Motion Sensors for Beam-Tracking of Mobile Stations in mmWave Communication Systems , 2014, Sensors.

[2]  Edward W. Knightly,et al.  iTrack: Tracking Indicator LEDs on APs to Bootstrap mmWave Beam Acquisition and Steering , 2018, HotMobile '18.

[3]  J. Nicholas Laneman,et al.  Beampattern-Based Tracking for Millimeter Wave Communication Systems , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[4]  Edward W. Knightly,et al.  IEEE 802.11ad: directional 60 GHz communication for multi-Gigabit-per-second Wi-Fi [Invited Paper] , 2014, IEEE Communications Magazine.

[5]  Ben Y. Zhao,et al.  Demystifying 60GHz outdoor picocells , 2014, MobiCom.

[6]  Sampath Rangarajan,et al.  Multiple Sector ID Capture (MIDC): A Novel Beamforming Technique for 60-GHz Band Multi-Gbps WLAN/PAN Systems , 2015, IEEE Transactions on Antennas and Propagation.

[7]  Andrey V. Savkin,et al.  Topology Maps for 3D Millimeter Wave Sensor Networks with Directional Antennas , 2017, 2017 IEEE 42nd Conference on Local Computer Networks (LCN).

[8]  Mahbub Hassan,et al.  A New Look at MIMO Capacity in the Millimeter Wave , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[9]  Ada S. Y. Poon,et al.  Detecting Human Blockage and Device Movement in mmWave Communication System , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[10]  Jörg Widmer,et al.  Implementation and Evaluation of a WLAN IEEE 802.11ad Model in ns-3 , 2016, WNS3.

[11]  Jörg Widmer,et al.  Steering with eyes closed: Mm-Wave beam steering without in-band measurement , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[12]  Omid Salehi-Abari,et al.  Cutting the Cord in Virtual Reality , 2016, HotNets.