Spectrum Slicing in MEC-Assisted ADVNETs

In this chapter, the spectrum resource management issue is investigated under the MEC-assisted ADVNET architecture proposed in Chap. 2. Specifically, we first propose a dynamic spectrum management framework to improve spectrum resource utilization. Based on this framework, spectrum slicing, spectrum allocating, and transmit power control are then jointly considered, which can help support the increased communication data traffic and guarantee applications’ QoS requirements. Accordingly, we formulate three maximization problems to slice spectrum among BSs, allocate spectrum among AVs associated with a BS, and control transmit powers of BSs, respectively. Via linear programming relaxation and first-order Taylor series approximation, the three problems are transformed into tractable forms and then are jointly solved through an alternate concave search (ACS) algorithm. As a result, optimal results, including spectrum slicing ratios among BSs, BS-vehicle association patterns, fractions of spectrum resources allocated to AVs, and transmit powers of BSs, are obtained. The simulation results demonstrate that a high aggregate network utility can be achieved by the proposed spectrum management scheme compared with existing schemes.