Abstract
The coverage optimization and Load Balancing (LB) for LTE networks based on adjusting Antenna Tilt Angle (ATA) of the cell are investigated. The network coverage is presented by the Coverage Factor (CF), which is defined as the ratio of the served user number to the total user number. The level of LB is evaluated by the Load Balancing Index (LBI). Both of the CF and the LBI are optimized by adjusting the tilt angle based on the Modified Particle Swarm Optimization (MPSO) algorithm. Simulation results show that the CF of our algorithm can obtain \(98\,\%\). The LBI, the network bandwidth efficiency and the system throughput are appreciably improved.
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 subscriptionsReferences
Berger, S., et al.: Joint downlink and uplink tilt-based self-organization of coverage and capacity under sparse system knowledge. IEEE Trans. Veh. Technol. (2015). Accepted
Wang, H., et al.: A unified algorithm for mobility load balancing in 3GPP LTE multi-cell networks. Sci. China Inf. Sci. 56(2), 1–11 (2013)
Partov, B., Leith, D.J., Razavi, R.: Utility fair optimization of antenna tilt angles in LTE networks. IEEE/ACM Trans. Netw. 23(1), 175–185 (2015)
Awada, A., et al.: A game-theoretic approach to load balancing in cellular radio networks. In: 2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), pp. 1184–1189 (2010)
Hao, H., et al.: Game theory based load balancing in self-optimizing wireless networks. In: 2nd International Conference on Computer and Automation Engineering (ICCAE), pp. 415–418 (2010)
Kwan, R., et al.: Balancing, on mobility load for LTE systems. In: IEEE 72nd Vehicular Technology Conference Fall (VTC 2010-Fall), pp. 1–5 (2010)
Bratu, V., Beckman, C.: Base station antenna tilt for load balancing. In: 7th European Conference on Antennas and Propagation (EuCAP), pp. 2039–2043 (2013)
Fehske, A.J., et al.: Concurrent load-aware adjustment of user association and antenna tilts in self-organizing radio networks. IEEE Trans. Veh. Technol. 62(5), 1974–1988 (2013)
NhuQuan, P., Huilin, J., ThiOanh, B., et al.: A modified particle swarm optimization based antenna tilt angle adjusting scheme for LTE coverage optimization. J. SE Univ. 31(4), 443–449 (2015)
NhuQuan, P., ThiOanh, B., Huilin, J.: Coverage optimization of LTE networks based on ATA adjusting considering network load. J. China Commun. (2015). Accepted
3GPP TR 36.814 V9.0.0, Further advancements for E-UTRA physical layer aspects, release 9 (2010)
Sediq, A.B., et al.: Optimal tradeoff between sum-rate efficiency and Jain’s fairness index in resource allocation. IEEE Trans. Wirel. Commun. 12(7), 3496–3509 (2013)
Qinghai, B.: Analysis of particle swarm optimization algorithm. Comput. Inf. Sci. 3(1), 180–184 (2010)
Jiang, H., et al.: A power adjustment based eICIC algorithm for hyper-dense HetNets considering the alteration of user association. Sci. China Inf. Sci. 58(8), 1–15 (2015)
Acknowledgment
This work is partially supported by the National 863 Program (2014AA01A702), the National Basic Research Program of China (973 Program 2012CB316004), the National Natural Science Foundation of China under Grants (61571123) and (61221002), Qing Lan Project, and the Fundamental Research Funds for the Central Universities (CXLX13 093).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
NhuQuan, P., Huilin, J., ThiOanh, B., Pei, L., Zhiwen, P., Nan, L. (2016). Joint Load Balancing and Coverage Optimizing Based on Tilt Adjusting in LTE Networks. In: Vinh, P., Barolli, L. (eds) Nature of Computation and Communication. ICTCC 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-319-46909-6_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-46909-6_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46908-9
Online ISBN: 978-3-319-46909-6
eBook Packages: Computer ScienceComputer Science (R0)