Achieving Covertness in Cooperative Systems With Power Allocation

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hongjiang Lei;Shunkai Mu;Shiyu Zheng;Ki-Hong Park;Imran Shafique Ansari;Gaofeng Pan
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Abstract

This work addresses the challenge of achieving covert communication in cooperative wireless systems, which consist of a source, a decode-and-forward relay, and a destination. The direct link between the source and the destination is often impaired by deep fading, necessitating the use of a relay to forward signals. The relay also attempts to transmit its covert signal to the destination over the same spectrum, complicating the source’s detection capabilities. To tackle this issue, we propose two power allocation schemes: 1) fixed power allocation (FPA) and 2) dynamic power allocation (DPA). The FPA scheme maintains a constant power allocation for the source’s message, while the DPA scheme adjusts power based on the channel quality from the relay to the destination. Considering noise uncertainty at the source, we derive closed-form expressions for false alarm probability, miss detection probability, and minimum detection error probability, which are crucial for evaluating the source’s detection performance while ensuring Quality of Service for both source and relay messages. Simulation results demonstrate that the DPA scheme outperforms the FPA scheme in terms of covert throughput, especially under conditions of higher transmission rate thresholds and improved channel conditions.
具有权力分配的合作系统的隐性实现
这项工作解决了在协作无线系统中实现隐蔽通信的挑战,该系统由一个源、一个解码转发中继和一个目的地组成。源和目标之间的直接连接经常因深度衰落而受损,因此需要使用中继来转发信号。中继器还试图通过相同的频谱将其隐蔽信号传输到目的地,使源的检测能力复杂化。为了解决这个问题,我们提出了两种功率分配方案:1)固定功率分配(FPA)和2)动态功率分配(DPA)。FPA方案为源消息保持恒定的功率分配,而DPA方案根据从中继到目的地的信道质量调整功率。考虑到源处噪声的不确定性,我们推导出虚警概率、漏检概率和最小检测错误概率的封闭表达式,这对于评估源的检测性能,同时保证源和中继消息的服务质量至关重要。仿真结果表明,DPA方案在隐蔽吞吐量方面优于FPA方案,特别是在更高的传输速率阈值和改进的信道条件下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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