This is a preview of subscription content, log in to check access.
Buy single article
Instant access to the full article PDF.
Price includes VAT for USA
Liu L, Zhou Y Q, Vasilakos A V, et al. Time-domain ICIC and optimized designs for 5G and beyond: a survey. Sci China Inf Sci, 2019, 62: 021302
Lee W H, Choi J S, Kim Y H, et al. Adaptive sector coloring game for geometric network informationbased inter-cell interference coordination in wireless cellular networks. IEEE/ACM Trans Netw, 2018, 26: 288–301
Tam H H M, Tuan H D, Ngo D T, et al. Joint load balancing and interference management for small-cell heterogeneous networks with limited backhaul capacity. IEEE Trans Wirel Commun, 2017, 16: 872–884
Dai H B, Huang Y M, Yang L X. Game theoretic max-logit learning approaches for joint base station selection and resource allocation in heterogeneous networks. IEEE J Sel Areas Commun, 2015, 33: 1068–1081
Skouroumounis C, Psomas C, Krikidis I. Lowcomplexity base station selection scheme in mmWave cellular networks. IEEE Trans Commun, 2017, 65: 4049–4064
Lang H S, Lin S C, Fang W H. Subcarrier pairing and power allocation with interference management in cognitive relay networks based on genetic algorithms. IEEE Trans Veh Technol, 2016, 65: 7051–7063
Zhang Z S, Long K P, Wang J P, et al. On swarm intelligence inspired self-organized networking: its bionic mechanisms, designing principles and optimization approaches. IEEE Commun Surv Tut, 2014, 16: 513–537
Hou F, Cai L X, Ho P H, et al. A cooperative multicast scheduling scheme for multimedia services in IEEE 802.16 networks. IEEE Trans Wirel Commun, 2009, 8: 1508–1519
This work was supported by National Natural Science Foundation of China (Grant Nos. 61872406, 61472094).
About this article
Cite this article
Xiao, H., Zhang, Z. Swarm intelligence approaches to power allocation for downlink base station cooperative system in dense cellular networks. Sci. China Inf. Sci. 63, 169302 (2020). https://doi.org/10.1007/s11432-019-9927-9