As the telecommunications industry advances towards the realisation of 6G, ubiquitous global coverage has emerged as a key objective. This has driven significant interest in the integration of terrestrial and non-terrestrial networks (ITNTNs), where satellite systems complement terrestrial infrastructure to enable seamless connectivity. However, the global operational scale of satellite systems necessitates cooperation between Low Earth Orbit satellite operators (LEOPs) and local mobile network operators (MNOs), introducing new economic and operational challenges. At the same time, emerging applications are expected to impose strict quality-of-service (QoS) requirements that must be guaranteed across both domains. This paper proposes a QoS-aware tiered pricing framework for supporting users with diverse QoS requirements in an ITNTN. Users are classified into service classes based on empirical traffic characterisation, with each class assigned a dedicated network slice and a target load level linked to QoS guarantees through a queueing-based latency model. The MNO determines class-specific prices that regulate aggregate demand to match these target loads. Numerical results demonstrate that the proposed framework enforces QoS requirements, preserves the desired load hierarchy, and aligns pricing with QoS differentiation, while remaining analytically tractable under heterogeneous user populations.
Simbarashe Tanyanyiwa, O. Falowo· International Conference on...· 0 citations
The rapid growth of data- and delay-sensitive applications is driving unprecedented mobile traffic demand, straining terrestrial networks (TNs). Integrated Terrestrial-NonTerrestrial Networks (IT-NTNs), envisioned for 6G, aim to expand coverage and enhance capacity via satellite connectivity. Efficient load balancing across TN and NTN domains remains challenging due to inherent heterogeneity between the networks. This paper proposes a QoS-aware load balancing (QALB) algorithm for IT-NTNs. We introduce a congestion-dependent latency model that captures the coupling between latency and resource utilization, embedded in a unified cost function for user-cell association. The resulting load balancing problem is addressed using a distributed heuristic, with simulation results showing that QALB improves network performance in load distribution, throughput, and QoS satisfaction compared to benchmark schemes.
Shaban Omary Kasinge, O. Falowo· International Conference on...· 0 citations