Throughput-Maximized Network Deployment in a Multi-NIB-Aided ISAC Network.

GLOBECOM (Workshops)(2023)

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摘要
In this paper, we consider the deployment problem of integrated sensing and communication (ISAC) network in sparsely populated area where the distributions of broadband users and Internet-of-things (IoT) devices are disjoint and therefore traditional network infrastructure can be under-utilized. Network-in-a-box which is lightweight, portable, and flexible to support different type of networks is the emerging technology for either one-off network or under-served network environments. We formulate the total network throughput maximization problem to optimally deploy multiple NIBs enabling an ISAC network supporting both conventional broadband data and sensed IoT data modeled by short packet communication (SPC) framework. Under the delay and minimum throughput requirements of sensing data for IoT devices, we will propose the suboptimal iterative solution to find location of NIBs, association between NIB and user, and coding rate in SPC framework and verify the feasibility by simulation.
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关键词
Network Deployment,Integrated Sensing And Communication,Internet Of Things Devices,Suboptimal Solution,Network Throughput,Device Data,Different Types Of Networks,Total Throughput,Internet Of Things Data,Throughput Requirements,Throughput Maximization,Objective Function,Performance Metrics,Additive Noise,Computer Software,Convex Optimization,Convex Optimization Problem,Spectral Efficiency,Concave Function,User Clustering,Underserved Areas,User Density,Top Of Page,User Association,Bandwidth Allocation,Shannon Capacity,Reference Distance,Block Coordinate Descent,Iterative Point
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