Time and power allocation method to ensure fairness in sensor fusion system

【 pick   want 】 Consider the millimeter wave base station and multiple vehicles V2I The Internet , Aiming at the fairness of multi-user performance in sensory communication fusion system , A flexible allocation scheme of time and power resources is proposed . So , The communication fairness, perceived fairness and system perception are derived MMSE Weighted sum expression , And the goal is to minimize the weighted sum of the three , To sense the proportion of subframe duration 、 Establish an optimization model for multi-user power allocation as an independent variable , And propose a solution method based on improved alternating iteration . The simulation results show that , The proposed scheme sacrifices synaesthesia slightly “ and ” At the cost of performance , It significantly improves the fairness between users and has a faster solution speed .

【 key word 】 Synaesthesia integration ; User fairness ; Feel MMSE Weighted sums ; Improve alternate optimization iterations

0    introduction

With the continuous development of information technology , Spawned such as V2X、 cloud VR And a large number of emerging applications , These new applications put forward high-speed network 、 Low latency communication requirements and high resolution 、 The perceived need for robust links [1]. One side , In the traditional scheme, the way of attaching radar to the base station will greatly increase the hardware cost [2]. On the other hand , The next generation network will adopt mmWave+mMIMO Standard system , High frequency waves provide high-quality data transmission at the same time , It will also provide high-precision perception [3-4]. therefore , Synaesthesia integrated design has become a feasible solution [5-6]. 

For sensory fusion system （ISAC, Integrated Sensing And Communication）,mmWave The sensitivity to road loss will lead to significant differences in user channel states at different distances from the base station, and the sensitivity of sensing and communication performance to distance [7], Therefore, a simple fixed resource allocation scheme will lead to poor performance . The early sensory fusion scheme developed the estimation rate as the perception index , And take the transmission rate as the communication index , The weighted sum rate used to measure the synaesthesia ability of the system can be derived [8-10]. However, radar estimation is not derived from a countable distribution similar to communication data symbols , therefore , The estimated rate metric is not an accurate representation of radar performance .

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