Resource Allocation in Spectrum Access System Using Multi-Objective Optimization Methods.

Area of Science:

• Wireless communication
• Spectrum management
• Radio frequency engineering

Background:

• Dynamic shared access enables flexible spectrum usage.
• The Federal Communications Commission (FCC) proposed a new framework for the 3.5 GHz Citizen Broadband Radio Service (CBRS) band.
• The Spectrum Access System (SAS) governs CBRS-USERS, classifying them into incumbent access (IA), primary access license (PAL), and general authorized access (GAA) tiers.

Purpose of the Study:

• To design a dynamic channel assignment algorithm for PAL and GAA users.
• To maximize transmission rates and minimize the cost of GAA users accessing PAL-reserved channels.
• To develop a multi-objective optimization model for selecting PAL operators and allocating idle PAL channels to GAA users.

Main Methods:

• Proposed a novel mathematical model based on multi-objective optimization.
• Considered diverse attributes of PAL reserved channels and varied business needs of GAA users.
• Validated the model through extensive simulations, comparing it with Hungarian, auction, and Gale-Shapley algorithms.

Main Results:

• The proposed model achieved comparable overall transmission rate, net cost, and data-rate per unit cost to the Hungarian and auction algorithms.
• The model demonstrated a significant improvement in speed, solving the resource allocation problem up to four times faster.
• Enhanced load management capabilities were observed in the proposed model.

Conclusions:

• The developed multi-objective optimization model offers an efficient solution for dynamic channel assignment in CBRS bands.
• The algorithm provides a faster and more effective approach to spectrum resource allocation compared to existing methods.
• The model's efficiency and load management improvements validate its practical applicability in real-world scenarios.