文献类型：期刊文献

英文题名：Fundamental Tradeoff of Bistatic ISAC under Gaussian Fading Channels at Finite Blocklength

作者：Shen, Xiao[1,2]; Lu, Ziping[1,2]; Zhao, Na[3]; Zhao, Hanying[4,5]; Shen, Yuan[6,7]

第一作者：Shen, Xiao

机构：[1] Tsinghua University, Department of Electronic Engineering, Beijing, 100084, China; [2] Beijing National Research Center for Information Science and Technology, Beijing, 100084, China; [3] Beijing Union University, Smart City College, Beijing, 100101, China; [4] Tsinghua University, Electronic Engineering Department, Beijing, 100084, China; [5] KTH Royal Institute of Technology, Division of Information Science and Engineering, Stockholm, 100 44, Sweden; [6] Tsinghua University, Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Beijing, 100084, China; [7] Shanghai AI Laboratory, Shanghai, 201112, China

第一机构：Tsinghua University, Department of Electronic Engineering, Beijing, 100084, China

通讯机构：[6]Tsinghua University, Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Beijing, 100084, China

年份：2025

外文期刊名：IEEE Transactions on Information Theory

收录：EI(收录号：20254319397877)

语种：英文

外文关键词：Channel estimation - Codes (symbols) - Communication channels (information theory) - Computer architecture - Errors - Fading channels - MIMO systems - Signal processing

摘要：The paradigm of integrated sensing and communication (ISAC) is envisioned as a key enabler for the evolution of 6G, leveraging inherent similarities of dual functions in hardware architectures and signal processing to sense the environment and send messages via a shared waveform. In this paper, we establish a theoretical framework to evaluate the sensing and communication (S&C) performance of bistatic ISAC systems under Gaussian fading channels at finite blocklength, where a primary focus lies in uncovering the fundamental tradeoff between dual functions due to limited resources. In particular, we first formulate the joint S&C problem in bistatic single-input and single-output (SISO) ISAC systems, and define the rate-error tradeoff to quantify the performance balance between S&C. Then we derive the achievability and converse bounds for the rate-error tradeoff, providing a deep comprehension of the interplay between S&C functions. Finally, we discuss the extensions of our framework involving infinite blocklength regime, general parameter estimation and multiple-input and multiple-output (MIMO) channel. ? 1963-2012 IEEE.