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Title: Jointly Minimizing AoI Penalty and Network Cost Among Coexisting Source-Destination Pairs
One main objective of ultra-low-latency communications is to minimize the data staleness at the receivers, recently characterized by a metric called Age-of-Information (AoI). While the question of when to send the next update packet has been the central subject of AoI minimization, each update packet also incurs the cost of transmission that needs to be jointly considered in a practical design. With the exponential growth of interconnected devices and the increasing risk of excessive resource consumption in mind, this work derives an optimal joint cost-and-AoI minimization solution for multiple coexisting source-destination (S-D) pairs. The results admit a new AoI-market-price-based interpretation and are applicable to the setting of (a) general heterogeneous AoI penalty functions and Markov delay distributions for each S-D pair, and (b) a general network cost function of aggregate throughput of all S-D pairs. Extensive simulation is used to demonstrate the superior performance of the proposed scheme.  more » « less
Award ID(s):
2008527 1816013 2107363
NSF-PAR ID:
10249974
Author(s) / Creator(s):
;
Date Published:
Journal Name:
2021 IEEE International Symposium on Information Theory (ISIT)
Page Range / eLocation ID:
3255 to 3260
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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