Abstract
Currently, user-centric ultra-dense network (UUDN) is recognized as a promising candidate to deal with the challenge of very high area throughput density. However, the limited wireless backhaul capability restricts the performance of UUDN and needs further study. In this paper, we propose a score and location-aware distributed (SLD) wireless backhaul routing algorithm to transmit users’ data flexibly and efficiently. We consider channel state information, interference between access points (APs) and load of APs in the algorithm. The joint optimization of load of APs and throughput in backhaul links is formulated as a weighted rate maximization problem and resolved by iterative algorithm. The proposed wireless backhaul routing algorithm balances backhaul tasks on APs in UUDN and has high success rate in finding backhaul paths. Simulation results show the effectiveness of the proposed algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ran, C., Wang, S., Wang, C.: Balancing backhaul load in heterogeneous cloud radio access networks. IEEE Wirel. Commun. 22, 42–48 (2015)
Robert, B., Tim, I., Kumar, B., Erik, D., Gunnar, M., Yngve, S., Stefan, P., Michael, M., Afif, O.: Ultra-dense networks in millimeter-wave frequencies. IEEE Commun. Mag. 53, 202–208 (2015)
Chen, S., Qin, F., Hu, B., Li, X., Chen, Z.: User-centric ultra-dense networks for 5G: challenges, methodologies, and directions. IEEE Wirel. Commun. 23, 78–85 (2016)
Ge, X., Pan, L., Tu, S.: Wireless backhaul capacity of 5G ultra-dense cellular networks. In: IEEE 84th Vehicular Technology Conference (VTC-Fall), pp. 18–22, September 2016
Ma, Y., Zhang, J.: Optimisation of Wi-Fi mesh network for small cell backhaul. In: International Workshop on High Mobility Wireless Communications (HMWC) (2014)
Li, Y., Cai, A., Qiao, G.: Multi-objective topology planning for microwave-based wireless backhaul networks. IEEE Access 4, 5742–5754 (2016)
Darko, C., Tim, H., Berthold, L.: Next generation mm-Wave wireless backhaul based on LOS MIMO links. In: German Microwave Conference (GeMic), German (2016)
Hu, B., Hua, C., Chen, C., Guan, X.: Multicast beamforming for wireless backhaul with user-centric clustering in Cloud-RANs. In: IEEE International Conference on Communications (ICC), May 2016
Yang, H.H., Giovanni, G., Quek, T.Q.S.: MIMO HetNets with wireless backhaul: An energy-efficient design. In: IEEE International Conference on Communication (ICC), May 2016
Sibel, T., Paolo, M., Fabricio, F.: Is backhaul becoming a bottleneck for green wireless access networks? In: IEEE International Conference on Communication (ICC), August 2014
Acknowledgments
This paper is jointly sponsored by the National Science and Technology Major Project of the Ministry of Science and Technology of China (Grant No. 2016ZX03001017) and the National Natural Science Foundation of China (Grant No. 61671088).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Feng, H., Li, X., Ji, H. (2018). An Efficient Wireless Backhaul Algorithm for User-Centric Ultra-Dense Networks. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-78130-3_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-78129-7
Online ISBN: 978-3-319-78130-3
eBook Packages: Computer ScienceComputer Science (R0)