Age of Information in Locally Adaptive Frame Slotted ALOHA

We consider a random access network consisting of source-destination pairs. Each source node generates status updates and transmits this information to its intended destination over a shared spectrum. The goal is to minimize the network-wide Age of Information (AoI). We develop a frame slotted ALOHA (FSA)-based policy for generating and transmitting status updates, where the frame size of each source node is adjusted according to its local environment. The proposed policy is of low complexity and can be implemented in a distributed manner. Additionally, it significantly improves the network AoI performance by (a) equalizing the update generation intervals at each source and (b) reducing interference across the network. Furthermore, we derive an analytical expression for the average network AoI attained for that policy. We evaluate the performance of the proposed scheme through simulations, which demonstrate that the locally adaptive FSA policy achieves a remarkable gain in terms of AoI compared to the slotted ALOHA counterpart, confirming the effectiveness of the proposed method.

[1]  Tony Q. S. Quek,et al.  Age of Information in Wireless Networks: Spatiotemporal Analysis and Locally Adaptive Power Control , 2023, IEEE Transactions on Mobile Computing.

[2]  Howard H. Yang,et al.  Age of Information Under Frame Slotted ALOHA-Based Status Updating Protocol , 2023, IEEE Journal on Selected Areas in Communications.

[3]  Howard H. Yang,et al.  Non-linear Information Freshness in Large Scale Random Access Networks , 2022, 2022 IEEE Globecom Workshops (GC Wkshps).

[4]  Hongliang Zhang,et al.  Age-of-Information Minimization in Healthcare IoT Using Distributionally Robust Optimization , 2022, IEEE Internet of Things Journal.

[5]  C. Assi,et al.  Optimizing Information Freshness for MEC-Enabled Cooperative Autonomous Driving , 2022, IEEE Transactions on Intelligent Transportation Systems.

[6]  H. Vincent Poor,et al.  Spatiotemporal Analysis for Age of Information in Random Access Networks Under Last-Come First-Serve With Replacement Protocol , 2021, IEEE Transactions on Wireless Communications.

[7]  Tony Q. S. Quek,et al.  Understanding Age of Information in Large-Scale Wireless Networks , 2020, IEEE Transactions on Wireless Communications.

[8]  Harpreet S. Dhillon,et al.  Spatial Distribution of the Mean Peak Age of Information in Wireless Networks , 2020, IEEE Transactions on Wireless Communications.

[9]  Harpreet S. Dhillon,et al.  Throughput and Age of Information in a Cellular-Based IoT Network , 2020, IEEE Transactions on Wireless Communications.

[10]  H. Vincent Poor,et al.  Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach , 2020, IEEE Transactions on Mobile Computing.

[11]  Eytan Modiano,et al.  Age of Information: A New Metric for Information Freshness , 2019, Age of Information.

[12]  Yi Zhong,et al.  Age of Information in Poisson Networks , 2018, 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP).

[13]  Eytan Modiano,et al.  Optimizing Information Freshness in Wireless Networks Under General Interference Constraints , 2018, IEEE/ACM Transactions on Networking.

[14]  Vangelis Angelakis,et al.  Age of Information: A New Concept, Metric, and Tool , 2018, Found. Trends Netw..

[15]  Chenyang Yang,et al.  Radio Resource Management for Ultra-Reliable and Low-Latency Communications , 2017, IEEE Communications Magazine.

[16]  François Baccelli,et al.  Spatial birth-death wireless networks , 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[17]  Marian Codreanu,et al.  On the Age of Information in Status Update Systems With Packet Management , 2015, IEEE Transactions on Information Theory.

[18]  Vangelis Angelakis,et al.  Age of information of multiple sources with queue management , 2015, 2015 IEEE International Conference on Communications (ICC).

[19]  Martin Haenggi,et al.  The Meta Distribution of the SIR in Poisson Bipolar and Cellular Networks , 2015, IEEE Transactions on Wireless Communications.

[20]  François Baccelli,et al.  Analysis of a proportionally fair and locally adaptive Spatial Aloha in Poisson Networks , 2013, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[21]  Roy D. Yates,et al.  Real-time status: How often should one update? , 2012, 2012 Proceedings IEEE INFOCOM.

[22]  François Baccelli,et al.  Stochastic Geometry and Wireless Networks, Volume 1: Theory , 2009, Found. Trends Netw..

[23]  Tony Q. S. Quek,et al.  Locally Adaptive Status Updating for Optimizing Age of Information in Poisson Networks , 2022, IEEE Transactions on Mobile Computing.

[24]  François Baccelli,et al.  Stochastic geometry and wireless networks , 2009 .