Cited By
View all- Ehlers BGupta ALearned R(2021)A MUD-Enhanced Multi-Beam Approach for Increasing Throughput of Dense Wireless NetworksIEEE Sensors Journal10.1109/JSEN.2020.303533021:4(5454-5466)Online publication date: 15-Feb-2021
Multi-beam uncoordinated random access MAC for underwater communication networks
Article No.: 29, Pages 1 - 5
Abstract
We consider a multi-beam directional network where the nodes have digital antenna arrays capable of performing post-reception digital beamforming without prior knowledge of angle-of-arrival. Post-reception digital beamforming has greatly advanced uncoordinated random access in directional networks where, in the past, scheduling of beams was a bottleneck. A key trade off in these systems is number of antennas and corresponding beam-width. We demonstrate, through numerical simulations, that the random access MAC under consideration, MB-URAM, does not perform as well as the idealized version originally presented [Kuperman et al. 2016]. We demonstrate how interference between coincident nodes cause a significant number of packet drops even with a very large number of antennas. Finally, we suggest how to mitigate the effect of the interference and introduce ideas to do so.
References
[1]
Ananya Sen Gupta and James Preisig. 2012. A geometric mixed norm approach to shallow water acoustic channel estimation and tracking. Physical Communication 5, 2 (2012), 119--128.
[2]
G. Kuperman, R. Margolies, N. M. Jones, B. Proulx, and A. Narula-Tam. 2016. Uncoordinated MAC for Adaptive Multi-Beam Directional Networks: Analysis and Evaluation. In 2016 25th International Conference on Computer Communication and Networks (ICCCN). 1--10.
[3]
John Litva and Titus K. Lo. 1996. Digital Beamforming in Wireless Communications (1st ed.). Artech House, Inc., Norwood, MA, USA.
[4]
James C Preisig and Grant B Deane. 2004. Surface wave focusing and acoustic communications in the surf zone. The Journal of the Acoustical Society of America 116, 4 (2004), 2067--2080.
[5]
Parastoo Qarabaqi and Milica Stojanovic. 2013. Statistical characterization and computationally efficient modeling of a class of underwater acoustic communication channels. IEEE Journal of Oceanic Engineering 38, 4 (2013), 701--717.
[6]
A. E. Sayers, W. M. Dorsey, K. W. O'Haver, and J. A. Valenzi. 2012. Planar Near-Field Measurement of Digital Phased Arrays Using Near-Field Scan Plane Reconstruction. IEEE Transactions on Antennas and Propagation 60, 6 (June 2012), 2711--2718.
[7]
Andrew Shaw, AI Al-Shamma'a, SR Wylie, and D Toal. 2006. Experimental investigations of electromagnetic wave propagation in seawater. In 2006 European Microwave Conference. IEEE, 572--575.
[8]
Milica Stojanovic and James Preisig. 2009. Underwater acoustic communication channels: Propagation models and statistical characterization. IEEE communications magazine 47, 1 (2009), 84--89.
[9]
M Stojanovic, JG Proakis, and JA Catipovic. 1996. Performance of high-rate adaptive equalization on a shallow water acoustic channel. The Journal of the Acoustical Society of America 100, 4 (1996), 2213--2219.
[10]
Filipe Teixeira, Pedro Freitas, Luís Pessoa, Rui Campos, and Manuel Ricardo. 2014. Evaluation of IEEE 802.11 Underwater Networks Operating at 700 MHz, 2.4 GHz and 5 GHz. In Proceedings of the International Conference on Underwater Networks & Systems. ACM, 11.
[11]
David Tse and Pramod Viswanath. 2005. Fundamentals of Wireless Communication. Cambridge University Press, New York, NY, USA.
[12]
B. D. Van Veen and K. M. Buckley. 1988. Beamforming: a versatile approach to spatial filtering. IEEE ASSP Magazine 5, 2 (April 1988), 4--24.
[13]
Sergio Verdu. 1998. Multiuser Detection (1st ed.). Cambridge University Press, New York, NY, USA.
[14]
Zhensheng Zhang. 2005. Pure directional transmission and reception algorithms in wireless ad hoc networks with directional antennas. In IEEE International Conference on Communications, 2005. ICC 2005. 2005, Vol. 5. 3386--3390 Vol. 5.
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Association for Computing Machinery
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Publication History
Published: 03 December 2018
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Author Tags
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- Short-paper
Funding Sources
- Office of Naval Research
- Air Force
Conference
WUWNet'18
WUWNet'18: The 13th ACM International Conference on Underwater Networks & Systems
December 3 - 5, 2018
Shenzhen, China
Acceptance Rates
WUWNet '18 Paper Acceptance Rate 11 of 23 submissions, 48%;
Overall Acceptance Rate 84 of 180 submissions, 47%
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View all- Ehlers BGupta ALearned R(2021)A MUD-Enhanced Multi-Beam Approach for Increasing Throughput of Dense Wireless NetworksIEEE Sensors Journal10.1109/JSEN.2020.303533021:4(5454-5466)Online publication date: 15-Feb-2021
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