Power (physics)

Resource allocation

Telecommunications

Physics

Transmitter power output

Channel (broadcasting)

Mathematics

Wireless

Mathematical optimization

Cognitive radio

Transmitter

Quantum mechanics

Frequency allocation

Enhanced Data Rates for GSM Evolution

Computer science

Quality of service

Spectrum management

Base station

Distributed computing

Computer network

Power control

IEEE Transactions on Intelligent Transportation Systems

In this paper, a dynamic spectrum management framework is proposed to improve spectrum resource utilization in a multi-access edge computing (MEC) in autonomous vehicular network (AVNET). To support the increasing communication data traffic and guarantee quality-of-service (QoS), spectrum slicing, spectrum allocating, and transmit power controlling are jointly considered. Accordingly, three non-convex network utility maximization problems are formulated to slice spectrum among base stations (BSs), allocate spectrum among autonomous vehicles (AVs) associated with a BS, and control transmit powers of BSs, respectively. Through linear programming relaxation and first-order Taylor series approximation, these problems are transformed into tractable forms and then are jointly solved through an alternate concave search (ACS) algorithm. As a result, the optimal spectrum slicing ratios among BSs, optimal BS-vehicle association patterns, optimal fractions of spectrum resources allocated to AVs, and optimal transmit powers of BSs are obtained. Based on our simulation, a high aggregate network utility is achieved by the proposed spectrum management scheme compared with two existing schemes.

Spectrum Management for Multi-Access Edge Computing in Autonomous Vehicular Networks