Cross-Layer Scheduling in Multi-user System with Delay and Secrecy Constraints

TL;DR

This paper develops a cross-layer resource allocation scheme for multi-user wireless systems that balances delay, power, and secrecy constraints, considering both full and partial eavesdropper channel information.

Contribution

It introduces a novel security-aware cross-layer control framework that optimizes data admission rate under secrecy, delay, and power constraints for various eavesdropping scenarios.

Findings

The proposed scheme effectively enhances secure data transmission.

Performance analysis confirms the scheme's robustness under different eavesdropping models.

Simulations validate the scheme's superiority over traditional methods.

Abstract

Recently, physical layer security based approaches have drawn considerable attentions and are envisaged to provide secure communications in the wireless networks. However, most existing literatures only focus on the physical layer. Thus, how to design an effective transmission scheme which also considers the requirements from the upper layers is still an unsolved problem. We consider such cross-layer resource allocation problem in the multi-user downlink environment for both having instantaneous and partial eavesdropping channel information scenarios. The problem is first formulated in a new security framework. Then, the control scheme is designed to maximize the average admission rate of the data, incorporating delay, power, and secrecy as constraints, for both non-colluding and colluding eavesdropping cases in each scenario. Performance analysis is given based on the stochastic optimization theory and the simulations are carried out to validate the effectiveness of our scheme.