Queue-Aware Dynamic Resource Reuse and Joint Allocation Algorithm in Self-Backhaul Small Cell Networks

In this paper, by jointly considering resource reuse and allocation, we formulate a stochastic optimization programming to investigate the spectral efficiency maximization problem in dynamic wireless self-backhaul small cell networks, where random and finite-traffic loads are considered while keeping the system stable. Then, by leveraging the fractional programming theory and the Lyapunov optimization technique, an extremely simple but optimal queue-aware dynamic resource reuse and joint allocation algorithm (QDRRJAA) is proposed to solve the formulation. In the QDRRJAA, at the beginning of each time slot, the system will exploit the current queue states of all users and channel state information first to calculate four resource scheduling priority matrixes. Then, the category of each resource block (RB), i.e., either an access-only RB, a backhaul-only RB or a common RB can be determined. The theoretical analysis and simulation results reveal that the proposed algorithm can flexibly strike a balance between spectral efficiency and delay by simply adjusting an introduced control parameter and also reduce the required resources for packet transmission. In particular, no iteration and optimization tools are required in the QDRRJAA, which paves the way for practical applications.