Center-Fed Pinching Antenna System (C-PASS) Aided Wireless Communications
Xu Gan, Yuanwei Liu
TL;DR
Center-Fed PASS (C-PASS) doubles the available degrees of freedom by splitting the waveguide-fed signal into forward and backward directions. The paper proposes three operating protocols—Power Splitting (PS), Direction Switching (DS), and Time Switching (TS)—and develops corresponding joint transmit and pinching beamforming optimization frameworks, using WMMSE reformulation for PS, a penalty method for DS, and closed-form time allocation for TS. Across simulations, PS and DS achieve DoF of 2 in high-SNR scenarios while TS excels at low power, with PS/DS benefiting more from largerPA and M configurations, and TS leveraging time-domain separation. The results highlight the practical flexibility and performance gains of C-PASS for multi-user wireless downlink, guiding future explorations in uplink/downlink, channel estimation, and robust design in dense networks.
Abstract
The novel architecture of the center-fed pinching antenna system (C-PASS) is investigated, where the waveguide-fed signal is divided into two propagation directions through controllable power splitting. By doing so, a doubled degree of freedom (DoF) is achieved compared to conventional PASS. Based on the new designed basic signal model of C-PASS, three practical operating protocols for C-PASS are proposed, namely power splitting (PS), direction switching (DS), and time switching (TS). Then, the sum-rate maximization problem for the joint optimization of transmit and pinching beamforming is formulated for each of the proposed protocols. 1) For PS, the highly coupled non-convex problem is first transformed into a tractable form via the weighted minimum mean square error reformulation and solved using the alternating optimization framework; 2) For DS, the above approach is subsequently extended to solve the mixed-integer constraints inherent for DS via the penalty-based algorithm; 3) For TS, the optimization problem can be decomposed into two subproblems and solved using the similar iterative techniques, while its optimal time allocation ratio is derived in closed form. Finally, numerical results reveal that TS is superior in the low-power regime, while PS and DS achieve significantly higher rates in the high-power regime due to the enhanced DoF.
