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arXiv 2601.02802cs.ITmath.IT
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具有共同重建约束的状态依赖衰减高斯信道

State-Dependent Fading Gaussian Channel with Common Reconstruction Constraints

Indian Institute of Technology (IIT), Jodhpur(印度理工学院焦浦尔分校)

Viswanathan Ramachandran

AI总结:

本文研究了在具有加性状态干扰的高斯信道中,如何同时传输信息并重建共同信道状态,提出了一种满足共同重建约束的最优速率失真贸易区方案。

摘要:

在具有加性状态干扰的衰减高斯模型中,研究了同时传输信息和重建共同信道状态估计的任务。状态是独立同分布的高斯序列,在发射端非因果已知,而瞬时衰减系数在发射端和接收端均完美已知。接收端需解码传输的信息,并进一步在共同重建约束下重建状态,确保其估计与发射端一致。对这一设置的最优速率失真贸易区的完整刻画是本工作的主要结果。通过数值示例验证了分析结果,展示了速率失真和功率失真贸易的特性。

英文摘要:

The task of jointly communicating a message and reconstructing a common estimate of the channel state is examined for a fading Gaussian model with additive state interference. The state is an independent and identically distributed Gaussian sequence known noncausally at the transmitter, and the instantaneous fading coefficient is perfectly known at both the transmitter and the receiver. The receiver is required to decode the transmitted message and, in addition, reconstruct the state under a common reconstruction constraint ensuring that its estimate coincides with that at the transmitter. A complete characterization of the optimal rate distortion tradeoff region for this setting is the main result of our work. The analytical results are also validated through numerical examples illustrating the rate distortion and power distortion tradeoffs.

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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