The General Gaussian Multiple-Access and Two-Way Wiretap Channels: Achievable Rates and Cooperative Jamming

Ender Tekin, Aylin Yener

IEEE Transactions on Information Theory · 2008 · 885 citations · 46 references

Concepts

TL;DR

The paper studies the general Gaussian multiple‑access and two‑way wiretap channels, where multiple users or two users communicate over a Gaussian channel while an eavesdropper receives their signals through another GMAC. The authors aim to define a suitable secrecy measure for multiterminal settings, derive achievable secrecy rate regions for both channels, and propose a cooperative jamming scheme to enhance secrecy. They characterize achievable secrecy rate regions, optimize power allocations to maximize the secrecy sum rate, and introduce a cooperative jamming strategy where silent users jam the eavesdropper. The study shows that optimal power allocation can force some users to stay silent to preserve secrecy, that cooperative jamming by silent users boosts the secrecy sum rate, and that overall cooperation enables positive secrecy rates in multiple‑access scenarios.

Abstract

The general Gaussian multiple-access wiretap channel (GGMAC-WT) and the Gaussian two-way wiretap channel (GTW-WT) are considered. In the GGMAC-WT, multiple users communicate with an intended receiver in the presence of an eavesdropper who receives their signals through another GMAC. In the GTW-WT, two users communicate with each other over a common Gaussian channel, with an eavesdropper listening through a GMAC. A secrecy measure that is suitable for this multiterminal environment is defined, and achievable secrecy rate regions are found for both channels. For both cases, the power allocations maximizing the achievable secrecy sum rate are determined. It is seen that the optimum policy may prevent some terminals from transmission in order to preserve the secrecy of the system. Inspired by this construct, a new scheme cooperative jamming is proposed, where users who are prevented from transmitting according to the secrecy sum rate maximizing power allocation policy ldquojamrdquo the eavesdropper, thereby helping the remaining users. This scheme is shown to increase the achievable secrecy sum rate. Overall, our results show that in multiple-access scenarios, users can help each other to collectively achieve positive secrecy rates. In other words, cooperation among users can be invaluable for achieving secrecy for the system.

References

46