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We consider a status information updating system where a fusion centercollects the status information from a large number of sources and each of themhas its own age of information (AoI) constraints. A novel grouping-basedscheduler is proposed to solve this complex large-scale problem by dividing thesources into different scheduling groups. The problem is then transformed intoderiving the optimal grouping scheme. A two-step grouping algorithm (TGA) isproposed: 1) Given AoI constraints, we first identify the sources with harmonicAoI constraints, then design a fast grouping method and an optimal schedulerfor these sources. Under harmonic AoI constraints, each constraint is divisibleby the smallest one and the sum of reciprocals of the constraints with the samevalue is divisible by the reciprocal of the smallest one. 2) For the othersources without such a special property, we pack the sources which can bescheduled together with minimum update rates into the same group. Simulationsshow the channel usage of the proposed TGA is significantly reduced as comparedto a recent work and is 0.42% larger than a derived lower bound when the numberof sources is large.

A Grouping-based Scheduler for Efficient Channel Utilization under Age of Information Constraints