A fair resource allocation algorithm for cooperative multicast aided content distribution

Hu, Jie, Zhao, Yizhe, Yang, Kun and Yang, Lie Liang (2018) A fair resource allocation algorithm for cooperative multicast aided content distribution. In 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. vol. 2018-January, IEEE. pp. 1-6 . (doi:10.1109/GLOCOM.2017.8255072).

Abstract

Activating direct communications among mobile users (MUs) for sharing a content of common interest (CoCI) becomes an essential paradigm for realising the efficient content distribution in densely populated scenarios. Relying on the cooperative multicast among the MUs, a centralised fair resource allocation algorithm is proposed in this paper for improving the attainable content distribution delay. Apart from the physical wireless transmission, social aspects of MUs are also taken into account, where a MU only multicasts the CoCI to its social contacts. The content distribution process is further modelled by a discrete-time pure-birth-based Markov Chain (DT-PBMC). Relying on the DT-PBMC, we minimise the state-retention probability during each transmission frame in order to reduce the content distribution delay to its smallest possible. The classic branch-andbound algorithm is invoked for obtaining the optimal resource allocation scheme. The simulation results demonstrate that the proposed algorithm outperforms its existing counterparts, while our novel resource allocation scheme may simultaneously achieve better fairness and reduced content distribution delay.

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Contributors

Author: Lie Liang Yang

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