Integrated sensing and communication (ISAC) has emerged as a key technology for future communication systems. In this paper, we provide a general framework to reveal the fundamental tradeoff between sensing and communication in OFDM systems, where a unified ISAC waveform is exploited to perform both tasks. In particular, we define the Capacity-Bayesian Cramer Rao Bound (BCRB) region in the asymptotically case when the number of subcarriers is large. Specifically, we show that the asymptotically optimal input distribution that achieves the Pareto boundary point of the Capacity-BCRB region is Gaussian and the entire Pareto boundary can be obtained by solving a convex power allocation problem. Moreover, we characterize the structure of the sensing-optimal power allocation in the asymptotically case. Finally, numerical simulations are conducted to verify the theoretical analysis and provide useful insights.
翻译:综合遥感和通信(ISAC)已成为未来通信系统的关键技术,在本文件中,我们提供了一个总体框架,以揭示OFDM系统在遥感和通信之间的根本平衡,利用统一的ISAC波形进行这两项任务,特别是,当子载体数量大时,我们在无序的情况下界定了Bayesian Cramer Rao Bound(BCRB)区域。具体地说,我们表明,实现CBCRB区域Pareto边界点的不现最佳投入分布是Gausian,而整个Pareto边界可以通过解决 convex电力分配问题获得。此外,我们还确定了Amertocical案件中的遥感最佳权力分配结构。最后,我们进行了数字模拟,以核实理论分析并提供有用的见解。