Abstract
In a mine locomotive wireless network, multiple locomotives move along a tunnel and communicate with access points (APs) on the side of this tunnel. The underground working environment is not safe and thus it is important to maintain high quality communication links. We consider throughput maximization for a mine locomotive wireless network with successive interference cancellation (SIC) and power control. We define time segments such that within each segment, the set of locomotives that can communicate with an AP is fixed and the distance from each locomotive to this AP can be approximated as a constant. To maximize throughput for each segment, we first prove the existence of optimal solutions that satisfy certain features on SIC decoding order and SINR under SIC. Then we can formulate a linear programming problem to obtain optimal solutions. We further propose a concept of the maximum SIC set to reduce problem size and obtain a polynomial complexity algorithm. Simulation results show that our algorithm can increase throughput significantly by comparing with the algorithm using SIC only (no power control) and comparing with the algorithm without using SIC and power control.
This article is supported by the Natural Science Foundation of China (Grant No. 61370088 and No. 61501161).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
We do not show result in the first 10 time slot, since there are only a few locomotives within AP’s coverage.
References
Deng, Q.G., Wang, Y., Liu, M.J., Wei, J.J.: Statistic analysis and enlightenment on coal mine accident of China from 2001 2013 periods. Coal Technol. 33(9), 73–75 (2014)
Berglund, T., Brodnik, A., Jonsson, H., Staffanson, M., Croucamp, P.L., Rimer, S., Kruger, C.: Planning smooth and obstacle-avoiding B-spline paths for autonomous mining vehicles. IEEE Trans. Autom. Sci. Eng. 7(1), 167–172 (2010)
Ge, B., Zhang, S.X.: Research on precise positioning technology of mine locomotive unmanned systems. Appl. Mech. Mater. 397(11), 1602–1605 (2013)
Poczter, S.L., Jankovic, L.M.: The Google car: driving toward a better future? J. Bus. Case Stud. 10(1), 1–7 (2014)
Wang, H., Liu, R., Ni, W., Chen, W.: VANET modeling and clustering design under practical traffic, channel and mobility conditions. IEEE Trans. Commun. 63(3), 870–881 (2015)
Hartenstein, H., Laberteaux, K.P.: A tutorial survey on vehicular ad hoc networks. IEEE Commun. Mag. 46(6), 164–171 (2008)
Yao, Y., Rao, L., Liu, X.: Performance and reliability analysis of IEEE 802.11p safety communication in a highway environment. IEEE Trans. Veh. Technol. 62(9), 4198–4262 (2013)
Nabil, A., Hou, Y.T., Zhu, R., Lou, W., Midkiff, S.F.: Recent advances in interference management for wireless networks. IEEE Netw. 29(5), 83–89 (2015)
Andrews, J.G.: Interference cancellation for cellular systems: a contemporary overview. IEEE Wirel. Commun. Mag. 12(2), 19–29 (2005)
Nam, W., Bai, D., Lee, J., Kang, I.: Advanced interference management for 5G cellular networks. IEEE Commun. Mag. 52(5), 52–60 (2014)
Miridakis, N.I., Vergados, D.D.: A survey on the successive interference cancellation performance for single-antenna and multiple-antenna OFDM systems. IEEE Commun. Surv. Tutorials 15(1), 312–335 (2013)
Zhang, X., Haenggi, M.: The performance of successive interference cancellation in random wireless networks. IEEE Trans. Inf. Theory 60(10), 6368–6388 (2014)
Frenger, P., Orten, P., Ottosson, T.: Code-spread CDMA with interference cancellation. IEEE J. Sel. Areas Commun. 17(12), 2090–2095 (1999)
Lv, S., Wang, X., Zhou, X.: Scheduling under SINR model in ad hoc networks with successive interference cancellation. In: Proceedings of the IEEE GLOBECOM, Miami, FL, USA, 6–10 December 2010
Lv, S., Zhuang, W., Wang, X., Zhou, X.: Scheduling in wireless ad hoc networks with successive interference cancellation. In: Proceedings of the IEEE INFOCOM, Shanghai, China, 10–15 April 2011
Jiang, C., Shi, Y., Hou, Y.T., Lou, W., Kompella, S., Midkiff, S.F.: Squeezing the most out of interference: an optimization framework for joint interference exploitation and avoidance. In: Proceedings of the IEEE INFOCOM, Orlando, FL, Canada, 25–30 March 2012
Shi, L., Shi, Y., Ye, Y.X., Wei, Z.C., Han, J.H.: An efficient interference management framework for multi-hop wireless networks. In: Proceedings of the IEEE WCNC, Shanghai, China, 7–10 April 2013
Shi, L., Zhang, J., Shi, Y., Ding, X., Wei, Z.: Optimal base station placement for wireless sensor networks with successive interference cancellation. Sensors 15(1), 1676–1690 (2015)
Wu, L., Han, J., Wei, X., Shi, L., Ding, X.: The mine LocomotiveWireless network strategy based on successive interference cancellation. Sensors 15(11), 28257–28270 (2015)
Shi, L., Han, J., Shi, Y., Wei, Z.: Cross-layer optimization for wireless sensor network with multi-packet reception. In: Proceedings of ChinaCom, Beijing, China, 25–27 August 2010
Khachiyan, L.G.: Polynomial algorithms in linear programming. USSR Comput. Math. Math. Phys. 20(1), 53–72 (1980)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Shi, L., Shi, Y., Wei, Z., Zhou, G., Ding, X. (2016). The Power Control Strategy for Mine Locomotive Wireless Network Based on Successive Interference Cancellation. In: Yang, Q., Yu, W., Challal, Y. (eds) Wireless Algorithms, Systems, and Applications. WASA 2016. Lecture Notes in Computer Science(), vol 9798. Springer, Cham. https://doi.org/10.1007/978-3-319-42836-9_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-42836-9_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42835-2
Online ISBN: 978-3-319-42836-9
eBook Packages: Computer ScienceComputer Science (R0)