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Wearable networks: A new frontier for device-to-device communication
Professor Robert W. Heath Jr. Wireless Networking and Communications Group Department of Electrical and Computer Engineering The University of Texas at Austin http://www.profheath.org
Joint work with Kiran Venugopal (UT) and Ma9hew C. Valen< (West Virginia Univ.) Supported by the Intel 5G program and the Big-XII Faculty Fellowship program
u Significant interest at the Mobile World Congress ª Smart watches, augmented reality, and other devices
u People may have one smart phone but many wearables ª New opportunities for semiconductors and software
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Smartphone: 18% Wearable : 372%
Gartner research data
[1] “Will wearables replace your smartphone?” Tom’s guide: Tech for real life http://www.tomsguide.com/us/smartphones-vs-wearables,review-2253.html [2] https://medium.com/@iguchijp/will-telepathy-one-be-able-to-change-the-world-be590c4840b0
u BANs have been focused low-rate applications: IEEE 802.15.6 ª Health-care and fitness monitors including implants ª Man-to-machine communication in workplace
u Sparse environment and less significant interference
[1] IEEE 802.15.6 standard, 2012 [2] S. N. Ramli and R. Ahmad, “Surveying the Wireless Body Area Network in the realm of wireless communication” IAS conference 2012
u High bandwidth and reasonable isolation u Compact antenna arrays to provide array gain and reduced interf. u Commercial products already available: IEEE 802.11ad, WirelessHD
1 47 CFR 15.255; 2 ARIB STD-T69, ARIB STD-T74; 3 Radiocommunications Class License 2000; 4 CEPT : Official journal of the EU;
MmWave as solution for wearable networks
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Max transmit power : 500 mW Max EIRP : 43 dBm
Max output power: 10 mW Max bandwidth: 2.5 GHz; Max antenna gain: 47 dBi
57 GHz 64 GHz
Max output power: 10dBm Max EIRP: 51.8 dBi
59 GHz
USA1
Japan2
Australia3
66 GHz
Max transmit power : 20 mW Max EIRP : 40 dBm Europe4
Several GHz of spectrum available for worldwide operation 0
PERFORMANCE ANALYSIS IN FINITE MMWAVE WEARABLE NETWORKS
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K. Venugopal, M. Valenti, and R. W. Heath, Jr., “ Interference in finite-sized highly dense millimeter wave networks,” (invited) Proc. of the Information Theory and Applications, San Diego, California, February 1-6, 2015. Paper available at http://www.ita.ucsd.edu/workshop/15/files/paper/paper_430.pdf
u Finite number of interferers in a finite network region ª Realistic assumption for the indoor wearable setting w/ mmWave ª Fixed/random location of interferers (extended in journal version)
u Blockages due to other human bodies (can be extended to pets) u Both interferer and blockage associated with a user
Related work on interference modeling u Stochastic geometry models for mmWave cellular networks [1]-[3]
ª Infinite spatial extent and number of nodes ª Did not consider people as a source of blockage
u Performance analysis for finite ad-hoc networks [4] ª Does not include directional antennas or blockage
u Self-blockage model for mmWave [5] ª Considers a 5G cellular system ª User's own body blocks the signal, not other users
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[1] T. Bai and R. W. Heath Jr., “Coverage and rate analysis for millimeter wave cellular networks,” IEEE Trans. Wireless Comm., 2014. [2] S. Singh, M. N. Kulkarni, A. Ghosh, and J. G. Andrews, “Tractable model for rate in self-backhauled millimeter wave cellular networks,” online [3] T. Bai, A. Alkhateeb, and R. W. Heath Jr., “Coverage and capacity of millimeter-wave cellular networks,” IEEE Commun. Magazine, 2014. [4] D. Torrieri and M. C. Valenti, “The outage probability of a finite ad hoc network in Nakagami fading,” IEEE TCOM, 2012. [5] T. Bai and R. W. Heath Jr., “Analysis of self-body blocking effects in millimeter wave cellular networks,” in Proc. Asilomar 2014.
u h0 – Nakagami fade gain from reference with parameter m0 u Assume that there is always LOS communication u Reference Tx is within the main beam of the reference Rx
u MmWave can provide Gbps data rates to wearables ª Substantial variation as a function of location
u Many issues remain to be studied ª Protocols for wearables to support multi-band and het. devices ª Channel models including self-body blocking ª Performance analysis
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For more information, see: K. Venugopal, M. Valenti, and R. W. Heath, Jr., “ Interference in finite-sized highly dense millimeter wave networks,” (invited) Proc. of the Information Theory and Applications, San Diego, California, February 1-6, 2015. Paper available at http://www.ita.ucsd.edu/workshop/15/files/paper/paper_430.pdf