论文标题

统计延迟保证的可见光网络以用户为中心的安全单元格

User-Centric Secure Cell Formation for Visible Light Networks with Statistical Delay Guarantees

论文作者

Qian, Lei, Chi, Xuefen, Zhao, Linlin, Obeed, Mohanad, Chaaban, Anas

论文摘要

在下一代无线网络中,提供安全的传输和延迟保证是两个关键目标。但是,他们中的任何一个都需要对传输速率进行特许权。在本文中,我们考虑了一个可见光网络,该网络由多个访问点和多个用户组成。我们的第一个目标是数学上评估在延迟和安全性上的约束下可实现的速率。第二个目标是为每个用户提供自定义的统计延迟和安全保证的单元组。首先,我们提出了一种以用户为中心的设计,称为安全单元格形成,其中考虑了人造噪声,并确定了灵活的用户调度。然后,基于有效的能力理论,我们得出了统计 - 延迟约束的保密率,并将细胞形成问题作为随机优化问题(OP)提出。此外,基于Lyapunov优化理论,我们将随机OP转化为一系列进化的每插图流动plus-Penalty OPS。最后,提出了一种修改的粒子群优化算法和基于干扰图的以用户为中心的调度算法来解决OPS。我们获得了一组动态的独立用户集以及安全的单元格形成参数。模拟结果表明,所提出的算法比现有的细胞形成方法可以实现更好的延迟约束率。

In next-generation wireless networks, providing secure transmission and delay guarantees are two critical goals. However, either of them requires a concession on the transmission rate. In this paper, we consider a visible light network consisting of multiple access points and multiple users. Our first objective is to mathematically evaluate the achievable rate under constraints on delay and security. The second objective is to provide a cell formation with customized statistical delay and security guarantees for each user. First, we propose a user-centric design called secure cell formation, in which artificial noise is considered, and flexible user scheduling is determined. Then, based on the effective capacity theory, we derive the statistical-delay-constrained secrecy rate and formulate the cell formation problem as a stochastic optimization problem (OP). Further, based on the Lyapunov optimization theory, we transform the stochastic OP into a series of evolutionary per-slot drift-plus-penalty OPs. Finally, a modified particle swarm optimization algorithm and an interference graph-based user-centric scheduling algorithm are proposed to solve the OPs. We obtain a dynamic independent set of scheduled users as well as secure cell formation parameters. Simulation results show that the proposed algorithm can achieve a better delay-constrained secrecy rate than the existing cell formation approaches.

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