High Data Rate Acoustic Massive MIMO for Underwater Communication

  • Shaiq Arif
Keywords: Massive MIMO; Pre-Coding; SLNR-Max; Underwater Acoustic Communication

Abstract

The demand for high definition real time applications for explorations and surveillance of underwater and marine environments is unprecedented, and also in defense applications and autonomous underwater vehicles (AUVs). These applications require high data rate with improved throughput and low error performance in underwater acoustic communications. In this paper, Massive Multi input multi output (MIMO) technique is proposed with Signal-to-leakage plus noise ratio maximization (SLNR-Max) based precoding method to amplify and achieve the desired performance enhancement. Here, it has been established that by increasing the number of transducers/hydrophones at the buoy station (BS), there is significant improvement in error performance and capacity. Proposed method for underwater communication channel can yield greater performance with high spectral efficiency and low error probability.

References

[1] I. F. Akyildiz, D. Pompili, and T. Melodia, “Challenges for efficient communication in underwater acoustic sensor networks,” ACM SIGBED Review, vol. 1, number 1, July 2004.

[2] J.-H. Cui, J. Kong, M. Gerla, and S. Zhou, “The challenges of building scalable mobile underwater wireless sensor networks for aquatic applications,” Special issue of IEEE Network on Wireless Sensor Networking, vol. 20, number 3, pp. 12–18, May-June 2006.
[3] M. Stojanovic, J. Preisig, “Underwater acoustic communication channels: propagation models and statistical characterization”, IEEE Commun. Mag., vol. 47, pp. 84-89, Jan. 2009.
[4] B. Lawal, Syed Saad Azhar Ali, Azlan Bin Awang,” Massive mimo systems for underwater acoustic communications”, 2016 IEEE 6th International Conference on Underwater System Technology: Theory and Applications.
[5] Zhao, Xueyuan, and Dario Pompili. “AMMCA: Acoustic massive mimo with carrier aggregation to boost the underwater communication data rate”, 10th International Conference on Underwater Networks and Systems, p. 5. ACM, 2015.
[6] Peng Cheng, Meixia Tao, and Wenjun Zhang, “A new SLNR-based linear precoding for downlink multi-user multi-stream mimo systems,” IEEE Communications Letters, vol. 14, number 11, pp. 1008-1010, November 2010
[7] G. M. Sadek, A. Tarighat, and A. H. Sayed, “A leakage-based precoding scheme for downlink multi-user MIMO Channels,” IEEE Trans. Wireless Commun., vol. 6, number 5, pp. 1711–1721, May 2007.
[8] Fredrik Rusek, Daniel Persson, Buon Kiong Lau, Erik G. Larsson, Thomas L. Marzetta, Ove Edfors, and Fredrik Tufvesson,” Scaling up MIMO: opportunities and challenges,” IEEE Signal Processing Magazine, pp. 40-60, December 2012.
[9] P. Chengsheng, Liangchen Jia, Ruiyan Cai, and Y. Ding, “Modeling and simulation of channel for underwater communication network,”International Journal of Innovative Computing, Information and Control 8, number 3 (2012): 2149-2156.
[10] Geng, Xueyi, and Adam Zielinski. “An eigenpath underwater acoustic communication channel model”, In OCEANS'95. MTS/IEEE. Challenges of Our Changing Global Environment. Conference Proceedings., vol. 2, pp. 1189-1196. IEEE, 1995
[11] Heidemann, J., Stojanovic, M. and Zorzi M. (2012) “Underwater sensor networks: applications, advances and challenges” Royal Society, Philos Transact A Math Phys Eng Sci, pp.158-75.
Published
2018-11-05
How to Cite
Arif, S. (2018). High Data Rate Acoustic Massive MIMO for Underwater Communication. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 4(II). Retrieved from https://asianssr.org/index.php/ajct/article/view/605
Section
Article

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