Revealing computation-communication trade-off in Segmented Pinching Antenna System (PASS)

TL;DR

This paper introduces a joint communication and computation framework using segmented PASS that enhances uplink transmission efficiency and mitigates signal loss, with algorithms that significantly outperform conventional systems in MSE and WSR metrics.

Contribution

The paper proposes a novel segmented PASS framework with optimized algorithms for joint communication and computation, improving performance over traditional PASS and MIMO systems.

Findings

Achieves up to 70.65% reduction in MSE compared to conventional MIMO.

Reaches 87.70% improvement in weighted sum rate over conventional PASS.

Significantly outperforms traditional systems in both MSE and WSR metrics.

Abstract

A joint communication and computation (JCC) framework using segmented pinching antenna system (PASS) is proposed, where both the communication bit streams and computation data are simultaneously transmitted via uplink communications. The segmented PASS design is used to yield the tractable uplink transmission, and to mitigate large-scale path loss and in-waveguide loss. Based on three operating protocols, namely segment selection (SS), segment aggregation (SA), and segment multiplexing (SM), the joint transmit and receive beamforming problem is formulated: 1) The mean square error (MSE) minimization problem is formulated for computation-oriented cases. To address this problem, a low-complexity alternating optimization-minimum mean square error (AO-MMSE) algorithm is developed. This problem is decomposed into receiver-side and transmitter-side MSE subproblems that are iteratively optimized by MMSE receivers to obtain the closed-form solutions. It is mathematically proved that the segmented JCC-PASS framework significantly outperforms the conventional PASS for the average in-waveguide propagation gain. 2) The weighted sum rate (WSR) maximization problem is formulated for communication-oriented cases. To solve the decomposed receiver-side and transmitter-side MSE subproblems, the AO-weighted minimum mean square error (AO-WMMSE) algorithm is further developed. An auxiliary weight variable is introduced to linearize the WSR function and is alternatively optimized based on WMMSE to derive the closed-form solutions. Simulation results demonstrate that: i) The proposed JCC-PASS framework achieves up to 70.65% and 45.32% reductions in MSE compared with conventional MIMO and conventional PASS, and ii) it reaches 87.70% and 51.35% improvements in WSR compared with conventional MIMO and conventional PASS, respectively.