Abstract
In this paper, we study the user association scheme in a heterogeneous network (HetNets), attempt to resolve the problem of interference avoidance and load balancing in HetNets. We formulate a logarithmic objective function, to reduce the utility of heavy load base station, and present a distributed load-aware association algorithm, which encourage users to associate the more lightly loaded stations. User will connect to low-power station (e.g., pico or femto cell), even if they offer a lower instantaneous SINR than the macro cell base station. We observe that users are stimulated by our scheme to associate with low-load, low-power base station. Simulation results support our expectations: in the proposed algorithm achieves a good load balancing between macro and femto cells, and increase the user average throughput. In addition, compare with Max-SINR algorithm, traditional algorithm, our distributed Load-Aware algorithm has a low complexity.
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Acknowledgment
This work is supported in part by the National Natural Science Foundation of China (Grants No. 61302081), the State Major Science and Technology Special Projects (Grants No. 2014ZX03004002).
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Wu, J., Teng, Y., Song, M., Yuan, D., Liu, B., Sun, S. (2016). A Distributed User Association Algorithm in Heterogeneous Cellular Networks. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_39
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DOI: https://doi.org/10.1007/978-3-319-31854-7_39
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