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- W3044748893 abstract "Age-of-Information (AoI) is a recently proposed metric for quantifying the freshness of information from the UE's perspective in a communication network. Recently, Kadota et al. [1] have proposed an index-type approximately optimal scheduling policy for minimizing the average-AoI metric for a downlink transmission problem. For delay-sensitive applications, including real-time control of a cyber-physical system, or scheduling URLLC traffic in 5G, it is essential to have a more stringent uniform control on AoI across all users. In this paper, we derive an exactly optimal scheduling policy for this problem in a downlink system with erasure channels. Our proof of optimality involves an explicit solution to the associated average-cost Bellman Equation, which might be of independent theoretical interest. We also show that the resulting Age-process is positive recurrent under the optimal policy, and has an exponentially light tail. Finally, motivated by typical applications in small-cell residential networks, we consider the problem of minimizing the peak-AoI with throughput constraints to specific UEs, and derive a heuristic policy for this problem. Extensive numerical simulations have been carried out to compare the efficacy of the proposed policies with other well-known scheduling policies, such as Randomized scheduling and Proportional Fair." @default.
- W3044748893 created "2020-07-29" @default.
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- W3044748893 date "2019-06-01" @default.
- W3044748893 modified "2023-09-27" @default.
- W3044748893 title "On Minimizing the Maximum Age-of-Information For Wireless Erasure Channels" @default.
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- W3044748893 doi "https://doi.org/10.23919/wiopt47501.2019.9144090" @default.
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