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

Abstract

The paradigm of dynamic shared access aims to provide flexible spectrum usage. Recently, Federal Communications Commission (FCC) has proposed a new dynamic spectrum management framework for the sharing of a 3.5 GHz (3550–3700 MHz) federal band, called a citizen broadband radio service (CBRS) band, which is governed by spectrum access system (SAS). It is the responsibility of SAS to manage the set of CBRS-SAS users. The set of users are classified in three tiers: incumbent access (IA) users, primary access license (PAL) users and the general authorized access (GAA) users. In this article, dynamic channel assignment algorithm for PAL and GAA users is designed with the goal of maximizing the transmission rate and minimizing the total cost of GAA users accessing PAL reserved channels. We proposed a new mathematical model based on multi-objective optimization for the selection of PAL operators and idle PAL reserved channels allocation to GAA users considering the diversity of PAL reserved channels’ attributes and the diversification of GAA users’ business needs. The proposed model is estimated and validated on various performance metrics through extensive simulations and compared with existing algorithms such as Hungarian algorithm, auction algorithm and Gale–Shapley algorithm. The proposed model results indicate that overall transmission rate, net cost and data-rate per unit cost remain the same in comparison to the classical Hungarian method and auction algorithm. However, the improved model solves the resource allocation problem approximately up to four times faster with better load management, which validates the efficiency of our model.

Advanced Topics and Smart Systems for Wireless Communications and Networks

“…In SAS, the users are classified in three categories: incumbent access (IA) users, primary access license (PAL) users, and general authorized access (GAA) users. In [ 3 ], Abbass et al propose a dynamic channel assignment algorithm for PAL and GAA users to maximize the transmission rate and at the same time minimize the total cost of GAA users accessing PAL-reserved channels.…”

Channel Allocation to GAA Users Using Double Deep Recurrent Q-Learning Based on Double Auction Method

“…Thompson sampling is used to find the state information efficiently by integrating reinforcement learning for all channels. Furthermore, we modeled the channel allocation problem as a multi-objective optimization problem in [44] and proposed the SAS-QLA algorithm in [45] based on reinforcement learning to assign the channels to the GAA users through a competitive auction process where the SAS acts as auctioneer. The field trials and the hardware experiments are investigated in [46], [47] without considering the collision scenarios of GAA-to-GAA users and GAA-to-PAL users.…”

A Stochastic Spectrum Trading and Resource Allocation Framework for Opportunistic Dynamic Spectrum Access Networks

“…In this approach, a monetary reward is given from the SU to the PU as payment for the leased spectrum. To find the fair price for the leased resources, different techniques have been used including auction theory [25]- [29], market equilibrium pricing mechanism [30]- [34], Bertrand game model [35], matching theory [36], bargaining theory [37], contract theory [38], bilateral negotiation [39], and optimization techniques [40], [41].…”