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Distributed resource allocation in caching-enabled heterogeneous cellular networks based on matching theory

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CCF Transactions on Networking

Abstract

Caching mechanism has been identified as an effective solution in reducing mobile users’ (MUs’) transmission delay. In order to allocate proper files into small-cell base stations (SBSs) which are close to a certain group of MUs, distributed algorithms are proposed based on matching theory in minimizing MUs’ transmission latency and maximizing their satisfactions. Specifically, we first investigate the file allocation and MUs association problems in minimizing MUs’ transmission latency, and then we study the SBSs association problem to maximize MUs’ satisfactions. Moreover, the performance of the proposed algorithms is analyzed from the perspectives of stability, overhead, and complexity. Simulation results demonstrate that our proposed algorithms have a better performance compared to the benchmarks.

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Acknowledgements

This work is supported in part by the National Natural Science Foundation of China under Grant nos. 61702258, 61727802, 61771244, 61472190, 61501238, in part by the National Key R&D Program under the grant number 2018YFB1004802, in part by the Jiangsu Provincial Science Foundation under Project BK20150786, in part by the Specially Appointed Professor Program in Jiangsu Province, 2015, in part by the Fundamental Research Funds for the Central Universities under Grant no. 30916011205, in part by the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University, under Grant no. 2017D04, in part by the China Postdoctoral Science Foundation under Grant no. 2016M591852, in part by Postdoctoral research funding program of Jiangsu Province under Grant no. 1601257C, in part by the China Scholarship Council Grant no. 201708320001, in part by US MURI18RT0073, US NSF CNS-1717454, CNS-1731424, CNS-1702850, CNS-1646607.

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Correspondence to Tingting Liu.

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Liu, T., Li, J., Shu, F. et al. Distributed resource allocation in caching-enabled heterogeneous cellular networks based on matching theory. CCF Trans. Netw. 2, 57–68 (2019). https://doi.org/10.1007/s42045-018-0004-z

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