Resource Optimization in Time-Varying Wireless Sensing and Localization Networks

Wireless localization and sensing both rely on the accurate extraction of wideband signal metrics, such as the delay and Doppler shift. The integrated sensing and localization (ISAL) aims to improve the hardware and spectrum utilization by taking advantage of the similarity between wireless localization and sensing. Generally, there are two schemes to realize the localization and sensing functions in the multi-slot integrated sensing and localization network: the two-step scheme and the integrated scheme. Considering the complexity, this paper proposes a dual-slot integrated sensing and localization network model with spatiotemporal cooperation information, and gives the Fisher information matrix (FIM) exploiting all the channel state information (CSI) of the model. Moreover, the energy allocation strategy between the two slots and the power allocation strategy in each single slot are formulated and solved. The numerical results show that by applying the resource optimization strategies, the target sensing accuracy achieved by the two-step scheme is able to exceed that achieved by the integrated scheme.