Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach

Abstract

Maritime network traffic is increasing due to the ongoing need for trade and tourism, thus increasing the demand for convenient, reliable, energy-efficient, and high-speed network access at sea that could be analogous to terrestrial networks. Therefore, to ensure the concept of a connected world under the umbrella of sixth-generation (6G) networks, we propose the next-generation integrated space-oceanic network, which consists of a set of LEO satellites and marine user equipments (MUE). This paper investigates network profit maximization (NPM) by optimizing the MUE association and its resource allocation in downlink communication. The formulated optimization problem corresponds to mixed-integer nonlinear programming (MINLP). To solve this problem, we propose an iterative algorithm based on Bender’s decomposition (BD). Numerical results are provided to demonstrate the convergence and effectiveness of our proposed algorithm.