126 research outputs found
Robust Improvement of the Age of Information by Adaptive Packet Coding
We consider a wireless communication network with an adaptive scheme to
select the number of packets to be admitted and encoded for each transmission,
and characterize the information timeliness. For a network of erasure channels
and discrete time, we provide closed form expressions for the Average and Peak
Age of Information (AoI) as functions of admission control and adaptive coding
parameters, the feedback delay, and the maximum feasible end-to-end rate that
depends on channel conditions and network topology. These new results guide the
system design for robust improvements of the AoI when transmitting time
sensitive information in the presence of topology and channel changes. We
illustrate the benefits of using adaptive packet coding to improve information
timeliness by characterizing the network performance with respect to the AoI
along with its relationship to throughput (rate of successfully decoded packets
at the destination) and per-packet delay. We show that significant AoI
performance gains can be obtained in comparison to the uncoded case, and that
these gains are robust to network variations as channel conditions and network
topology change.Comment: 6 pages, 7 figure
Distributed Backlog-Aware D2D Communication for Heterogeneous IIoT Applications
Delay and Age-of-Information (AoI) are two crucial performance metrics for
emerging time-sensitive applications in Industrial Internet of Things (IIoT).
In order to achieve optimal performance, studying the inherent interplay
between these two parameters in non-trivial task. In this work, we consider a
Device-to-Device (D2D)-based heterogeneous IIoT network that supports two types
of traffic flows, namely AoI-orientated. First, we introduce a distributed
backlog-aware random access protocol that allows the AoI-orientated nodes to
opportunistically access the channel based on the queue occupancy of the
delay-oriented node. Then, we develop an analytical framework to evaluate the
average delay and the average AoI, and formulate an optimization problem to
minimize the AoI under a given delay constraint. Finally, we provide numerical
results to demonstrate the impact of different network parameters on the
performance in terms of the average delay and the average AoI. We also give the
numerical solutions of the optimal parameters that minimize the AoI subject to
a delay constraint
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