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Age of information (AoI), defined as the time elapsed since the last receivedupdate was generated, is a newly proposed metric to measure the timeliness ofinformation updates in a network. We consider AoI minimization problem for anetwork with general interference constraints, and time varying channels. Wepropose two policies, namely, virtual-queue based policy and age-based policywhen the channel state is available to the network scheduler at each time step.We prove that the virtual-queue based policy is nearly optimal, up to aconstant additive factor, and the age-based policy is at-most factor 4 awayfrom optimality. Comparing with our previous work, which derived age optimalpolicies when channel state information is not available to the scheduler, wedemonstrate a 4 fold improvement in age due to the availability of channelstate information.

Optimizing Age of Information in Wireless Networks with Perfect Channel State Information