# PASS-Enhanced MEC: Joint Optimization of Task Offloading and Uplink PASS Beamforming

arXiv: https://arxiv.org/abs/2510.22948 · HTML: https://mlsanity.com/paper/2510.22948/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 6 of its 10 references that are in the map.
- First posted on arXiv 27 Oct 2025.

## Builds on (most cited first, 6 of 6)

- [Reconfigurable Intelligent Surfaces: Principles and Opportunities](https://mlsanity.com/paper/2007.03435/) (2020)
- [Pinching-Antenna Systems (PASS): Architecture Designs, Opportunities, and Outlook](https://mlsanity.com/paper/2501.18409/) (2025)
- [Pinching-Antenna Systems (PASS)-enabled Secure Wireless Communications](https://mlsanity.com/paper/2504.13670/) (2025)
- [Pinching-Antenna Systems (PASS) Meet Multiple Access: NOMA or OMA?](https://mlsanity.com/paper/2506.13490/) (2025)
- [Pinching-Antenna System (PASS)-enabled Multicast Communications](https://mlsanity.com/paper/2502.16624/) (2025)
- [Waveguide Division Multiple Access for Pinching-Antenna Systems (PASS)](https://mlsanity.com/paper/2502.17781/) (2025)

## Abstract (arXiv)

A pinching-antenna system (PASS)-enhanced mobile edge computing (MEC) architecture is investigated to improve the task offloading efficiency and latency performance in dynamic wireless environments. By leveraging dielectric waveguides and flexibly adjustable pinching antennas, PASS establishes short-distance line-of-sight (LoS) links while effectively mitigating the significant path loss and potential signal blockage, making it a promising solution for high-frequency MEC systems. We formulate a network latency minimization problem to joint optimize uplink PASS beamforming and task offloading. The resulting problem is modeled as a Markov decision process (MDP) and solved via the deep reinforcement learning (DRL) method. To address the instability introduced by the max operator in the objective function, we propose a load balancing-aware proximal policy optimization (LBPPO) algorithm. LBPPO incorporates both node-level and waveguide-level load balancing information into the policy design, maintaining computational and transmission delay equilibrium, respectively. Simulation results demonstrate that the proposed PASS-enhanced MEC with adaptive uplink PASS beamforming exhibit stronger convergence capability than fixed-PA baselines and conventional MIMO-assisted MEC, especially in scenarios with a large number of UEs or high transmit power.