Theoretical Performance Guarantees for CSMA/CA

Establish theoretical performance guarantees for heuristic CSMA/CA random-access protocols under realistic wireless-network conditions, including scalability, fairness, and latency requirements.

Background

The paper discusses sensing-based random access protocols, particularly CSMA/CA, which uses random backoff to mitigate contention. Although CSMA/CA is widely used, its heuristic design can produce excessive delays and suboptimal channel utilization. The paper notes that existing throughput-optimality results for adaptive queue-length-based CSMA often rely on idealized models and may not preserve fairness or low latency as networks scale.

The unresolved issue is to develop rigorous theoretical guarantees for CSMA/CA itself, or comparable heuristic random-access protocols, that accurately reflect realistic wireless-network behavior while addressing throughput, fairness, latency, and scalability.

References

Moreover, its theoretical performance guarantees remain unclear.

— Foundation Model-Aided Multi-Agent Reinforcement Learning for Wireless Random Access Network Optimization  (2610.07550 - Oh et al., 6 Oct 2026) in Section 2, “Related Work,” subsection 1) “Traditional RA Network Optimization”