Applying a Flocking-Inspired Algorithm to Fair Resource Allocation of Vehicle-Mounted Mobile Relays

초록

Previous studies for applying bio-inspired algorithms to resolve the traditional issues in wireless networks were motivated by some excellent characteristics of the bio-inspired algorithms including convergence, scalability, adaptability, and stability. In this paper, we apply the bio-inspired flocking algorithm to fair resource allocation in vehicle-mounted mobile relay (VMR) deployed networks. Although a VMR-deployed network has an advantage of the provision of high-quality communication services to mobile devices inside the vehicle, it is more susceptible to inter-VMR and base station (BS)-VMR interferences because both the mobility and geographical position of the VMRs and pedestrian mobile stations (MSs) cannot be artificially controlled. Therefore, the proposed flocking-inspired algorithm is designed to achieve the adaptive alleviation of the inter-VMR and BS-VMR interferences, and the attainment of a fair and distributed resource allocation among competing VMRs. We verify its self-adaptiveness under the dynamically changing network topology. The results show that the proposed flocking-inspired resource allocation method adaptively alleviates the inter-VMR and BS-VMR interferences.

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