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In conventional dual-function radar-communication (DFRC) systems, the radarand communication channels are routinely estimated at fixed time intervalsbased on their worst-case operation scenarios. Such situation-agnostic repeatedestimations cause significant training overhead and dramatically degrade thesystem performance, especially for applications with dynamicsensing/communication demands and limited radio resources. In this paper, weleverage the channel aging characteristics to reduce training overhead and todesign a situation-dependent channel re-estimation interval optimization-basedresource allocation for performance improvement in a multi-target tracking DFRCsystem. Specifically, we exploit the channel temporal correlation to predictradar and communication channels for reducing the need of training preambleretransmission.  Then, we characterize the channel aging effects on the Cramer-Rao lowerbounds (CRLBs) for radar tracking performance analysis and achievable rateswith maximum ratio transmission (MRT) and zero-forcing (ZF) transmitbeamforming for communication performance analysis. In particular, the agedCRLBs and achievable rates are derived as closed-form expressions with respectto the channel aging time, bandwidth, and power. Based on the analyzed results,we optimize these factors to maximize the average total aged achievable ratesubject to individual target tracking precision demand, communication raterequirement, and other practical constraints. Since the formulated problembelongs to a non-convex problem, we develop an efficient one-dimensional searchbased optimization algorithm to obtain its suboptimal solutions. Finally,simulation results are presented to validate the correctness of the derivedtheoretical results and the effectiveness of the proposed allocation scheme.

Impact of Channel Aging on Dual-Function Radar-Communication Systems: Performance Analysis and Resource Allocation