🤖 AI Summary
This work addresses the scheduling conflicts in flexible duplex systems caused by in-band self-interference and cross-link interference from concurrent uplink and downlink transmissions, which degrade deterministic communication performance. To mitigate these issues, the paper proposes a proactive scheduling mechanism that integrates traffic prediction with spatial awareness, uniquely combining predictive resource allocation and spatial diversity for interference management. By anticipating traffic demands and leveraging spatial separation, the approach substantially reduces scheduling conflicts, yielding a signal-to-interference-plus-noise ratio (SINR) improvement of over 5 dB for conflicting transmissions and achieving more than a 40% increase in successful transmission count compared to baseline schemes. This enhancement significantly boosts both system reliability and spectral efficiency.
📝 Abstract
Next generation wireless networks must sustain deterministic service levels for time-sensitive closed-loop applications. Flexible duplexing (FD) is an efficient solution to support these services, as it enables simultaneous uplink (UL) and downlink (DL) transmissions over orthogonal resources within the same band. However, simultaneous UL and DL transmissions can create conflicts that degrade performance due to interference from in-band emissions (IBE) and UL-to-DL cross-link interference (CLI). In this paper, we propose to use traffic forecasting and predictive scheduling to mitigate UL/DL conflicts in FD. Our proposal exploits traffic predictions to increase the likelihood of scheduling CLI-free UL and DL transmissions, and leverages spatial diversity to minimize the impact of unavoidable conflicts. Results show that the proposed scheme reduces UL/DL scheduling conflicts and improves the SINR of conflicted transmissions by more than 5 dB. This leads to gains of over 40% in the number of successfully completed transmissions compared to reference FD schemes.