A D2I and D2D Collaboration Framework for Resource Management in ABS-Assisted Post-Disaster Emergency Networks

This article proposes a device-to-infrastructure (D2I) and device-to-device (D2D) collaboration framework in air base station (ABS)-assisted post-disaster emergency networks, based on which the resource management problem is investigated. Specifically, by optimizing the power control and spectrum allocation, we formulate a multi-objective optimization problem to characterize the tradeoff among two critical performance metrics: a) total power consumption minimization (primary); b) sum rate maximization (secondary). Due to the intractability of this non-convex problem, we first adopt the primal decomposition method to decompose the formulated problem. Next, we theoretically derive the explicit expression of optimal power control policies. Then, we transform the spectrum allocation problem as a bipartite graph maximum matching problem, which can be tackled by the Hungarian algorithm. Finally, the simulation results show that the designed resource management algorithm achieves a desirable balance among two performance metrics.

I. Introduction

Unforeseeable natural disasters will cause conventional communication infrastructures unavailable or communication links seriously disrupted [1]. Under such conditions, in order to restore connectivity in affected areas, it is highly demanded to deploy the air base station (ABS) for satisfying emergency communication requirements [2]. In post-disaster emergency communication scenarios, the ABS can hover above the target area to provide temporary access services for cellular users within a certain horizontal distance [3], [4], [5].