arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2302.08010cs.ITeess.SPmath.IT
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在支持SWIPT的大规模D2D网络中实现隐蔽通信

Achieving Covert Communication in Large-Scale SWIPT-Enabled D2D Networks

Shaohan Feng, Xiao Lu, Dusit Niyato, Ekram Hossain, Sumei Sun

摘要:

我们的目标是保护大规模设备到设备(D2D)网络免受攻击。D2D网络是下行链路蜂窝网络的基础,以重用蜂窝频谱,并且能够实现同时无线信息和功率传输(SWIPT)。在D2D网络中,发射器与接收器通信,并且接收器从其接收的射频(RF)信号中提取信息和能量。与此同时,对手的目标是检测D2D传输。D2D网络应用功率控制并利用蜂窝信号来实现隐蔽通信(即,隐藏传输的存在)以便防御对手。我们使用一个两阶段的Stackelberg游戏模型的D2D网络和对手之间的相互作用。其中,对手是在较低阶段最小化其检测误差的跟随者,而D2D网络是在较高阶段最大化其受通信隐蔽性和断电约束的网络效用的领导者。研究了基于功率分配(PS)和基于时间开关(TS)的SWIPT方案.我们的大规模D2D网络,对手,和蜂窝网络的随机几何的空间配置的特征。我们分析了对手的检测误差最小化问题,并采用Rosenbrock方法来解决这个问题,其中所获得的解决方案是从较低的阶段的最佳响应。考虑到下层的最佳响应,我们开发了一个双层算法来解决D2D网络的约束网络效用最大化问题,并获得Stackelberg均衡。我们提出的数值结果揭示有趣的见解。

英文摘要:

We aim to secure a large-scale device-to-device (D2D) network against adversaries. The D2D network underlays a downlink cellular network to reuse the cellular spectrum and is enabled for simultaneous wireless information and power transfer (SWIPT). In the D2D network, the transmitters communicate with the receivers, and the receivers extract information and energy from their received radio-frequency (RF) signals. In the meantime, the adversaries aim to detect the D2D transmission. The D2D network applies power control and leverages the cellular signal to achieve covert communication (i.e., hide the presence of transmissions) so as to defend against the adversaries. We model the interaction between the D2D network and adversaries by using a two-stage Stackelberg game. Therein, the adversaries are the followers minimizing their detection errors at the lower stage and the D2D network is the leader maximizing its network utility constrained by the communication covertness and power outage at the upper stage. Both power splitting (PS)-based and time switch (TS)-based SWIPT schemes are explored. We characterize the spatial configuration of the large-scale D2D network, adversaries, and cellular network by stochastic geometry. We analyze the adversary's detection error minimization problem and adopt the Rosenbrock method to solve it, where the obtained solution is the best response from the lower stage. Taking into account the best response from the lower stage, we develop a bi-level algorithm to solve the D2D network's constrained network utility maximization problem and obtain the Stackelberg equilibrium. We present numerical results to reveal interesting insights.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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