Uberization of NOMA Wireless Network Resource Sharing: A Driver-Passenger Game-Theoretic Approach

Abstract

Non-Orthogonal Multiple Access (NOMA), is con-sidered as a potential solution for resource sharing in wireless multimedia networks because of its high spectral efficiency. In this research, we propose a new pricing scheme to uberize the NOMA network between users in the same resource block, leveraging the ride-sharing concept for better NOMA resource allocation. The pricing scheme between different users is similar to the Uber/Lyft ride-sharing system where the driver and passenger make a deal and share the power, time frame and frequency spectrum resource provided by the base station. The NOMA passenger user pays some virtual payment for wireless riding and the NOMA driver user is rewarded for willing to sharing the resource block after paying commission to the base station. The utility functions of users are derived based on the quality of wireless multimedia. The pricing and power allocation strategy is to make both driver and passenger users achieve their maximum utilities by deriving game-theoretic Nash Equilibrium. The simulation results show that the proposed NOMA ubertization game solution has potential improvement of system utility performance comparing with the orthogonal multiple access (OMA) pricing strategy.