This paper presents a state-aware subcarrier allo- cation framework for SDN-controlled coherent P2MP networks under time-varying traffic conditions. In contrast to conventional approaches that perform resource allocation independently at each scheduling interval, the proposed framework incorporates backlog evolution and subcarrier reconfiguration cost, enabling time-coupled allocation decisions. The system considers hetero- geneous service classes with distinct delay requirements and traffic dynamics. Two policies are evaluated: Reactive State- Aware (RS-SA), which prioritizes instantaneous demand, and Backlog-Stable State-Aware (BS-SA), which emphasizes backlog stability and reduced reconfiguration. Results show that RS-SA achieves higher throughput at the expense of increased reconfig- uration overhead, whereas BS-SA reduces control activity and improves stability under high load, with moderate performance degradation. These results highlight the importance of state- awareness in balancing service performance and operational efficiency.

State-Aware Subcarrier Allocation for SDN-Controlled Filterless Coherent P2MP Network / Zeb, S., Masood, M.U., Ali, A., Dipto, I.C., Schips, R., Pedro, J., Napoli, A., Curri, V.. - (2026). (GLOBECOM 2026 - 2026 IEEE Global Communications Conference Macau (Chi) 7 - 11 December 2026).

State-Aware Subcarrier Allocation for SDN-Controlled Filterless Coherent P2MP Network

Sanwal Zeb;Muhammad Umar Masood;Ahtisham Ali;Imran Chowdhury Dipto;Riccardo Schips;Vittorio Curri
2026

Abstract

This paper presents a state-aware subcarrier allo- cation framework for SDN-controlled coherent P2MP networks under time-varying traffic conditions. In contrast to conventional approaches that perform resource allocation independently at each scheduling interval, the proposed framework incorporates backlog evolution and subcarrier reconfiguration cost, enabling time-coupled allocation decisions. The system considers hetero- geneous service classes with distinct delay requirements and traffic dynamics. Two policies are evaluated: Reactive State- Aware (RS-SA), which prioritizes instantaneous demand, and Backlog-Stable State-Aware (BS-SA), which emphasizes backlog stability and reduced reconfiguration. Results show that RS-SA achieves higher throughput at the expense of increased reconfig- uration overhead, whereas BS-SA reduces control activity and improves stability under high load, with moderate performance degradation. These results highlight the importance of state- awareness in balancing service performance and operational efficiency.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3015549