Trajectory-aware antenna reconfiguration for pinching antenna systems: Performance analysis under user mobility

The benefits of using pinching antenna systems are considerable for millimeter wave coverage within corridor environments; however, the performance of these systems within mobile user environments has not been comprehensively studied. In this paper, the impact of user movement on the optimal placement of the antenna system will be discussed, along with the proposed system reconfiguration strategies for mobile environments using Monte Carlo simulations. The results indicate that static antenna placement can lead to throughput losses of up to 40 percent for users moving at 5 m/s, while adaptive reconfiguration with one-second updates preserves performance within 3 percent of the ideal case. Three trajectory prediction methods are analyzed. Linear extrapolation limits degradation to below 6 percent for prediction horizons up to one second, whereas weighted averaging demonstrates improved performance for longer horizons. Critical velocity thresholds are derived from outage probability analysis. When SNR is 8 dB, a reconfiguration interval of 0.5 seconds is found to be sufficient for user speeds exceeding 10 m/s. For a one-second delay, the 1% outage constraint still holds true but is limited to velocities up to 5 m/s. The scalability analysis for systems with 2 to 10 users shows a gradual deterioration of performance while ensuring fairness metrics are always above 0.99. The research also provides valuable insights into the application of mobility-aware pinching antennas within beyond 5G network environments.