Age of Information for Wireless Energy Harvesting Secondary Users in Cognitive Radio Networks

Age of information (AoI) is recently introduced to serve as a performance metric that quantifies the freshness of information for wireless applications with time-sensitive data. This paper studies AoI of wireless energy harvesting nodes in a multiuser cognitive radio network. In the envisioned network, primary users (PUs) and secondary users (SUs) coexist in such way that SUs harvest wireless energy from active PUs and access the primary spectrum opportunistically to transmit status updates. We model the distributions of PUs and SUs by a homogeneous Poisson point process and a binomial point process, respectively. We consider a greedy policy where each SU transmits an update whenever it harvests sufficient energy. A nonlinear energy harvesting model is used for SUs. Under the greedy policy, the average AoI of the secondary network is analyzed. An upper bound and a lower bound of the average AoI are derived. Simulation results demonstrate that the bounds closely approximate the average AoI.

[1]  Martin Haenggi,et al.  Stochastic Geometry for Wireless Networks , 2012 .

[2]  Eytan Modiano,et al.  Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks , 2018, IEEE/ACM Transactions on Networking.

[3]  Roy D. Yates,et al.  The Age of Information: Real-Time Status Updating by Multiple Sources , 2016, IEEE Transactions on Information Theory.

[4]  Ioannis Krikidis,et al.  Average Age of Information in Wireless Powered Sensor Networks , 2018, IEEE Wireless Communications Letters.

[5]  Roy D. Yates,et al.  Lazy is timely: Status updates by an energy harvesting source , 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

[6]  Zhisheng Niu,et al.  Closed-Form Analysis of Non-Linear Age of Information in Status Updates With an Energy Harvesting Transmitter , 2019, IEEE Transactions on Wireless Communications.

[7]  Aylin Yener,et al.  Age of Information Minimization for an Energy Harvesting Cognitive Radio , 2019, IEEE Transactions on Cognitive Communications and Networking.

[8]  Roy D. Yates,et al.  Update or wait: How to keep your data fresh , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[9]  Elif Uysal-Biyikoglu,et al.  Scheduling status updates to minimize age of information with an energy harvesting sensor , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

[10]  Ness B. Shroff,et al.  Age-optimal Sampling and Transmission Scheduling in Multi-Source Systems , 2018, MobiHoc.

[11]  Roy D. Yates,et al.  Status updates through multicast networks , 2017, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[12]  Emil Björnson,et al.  Age of Information in a Multiple Access Channel with Heterogeneous Traffic and an Energy Harvesting Node , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[13]  Jing Yang,et al.  Age of Information Minimization for an Energy Harvesting Source With Updating Erasures: Without and With Feedback , 2018, IEEE Transactions on Communications.

[14]  Roy D. Yates,et al.  Age-aware Scheduling for Asynchronous Arriving Jobs in Edge Applications , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[15]  Roy D. Yates,et al.  Status updates through queues , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

[16]  Constantinos Psomas,et al.  Asynchronous Ad Hoc Networks With Wireless Powered Cognitive Communications , 2019, IEEE Transactions on Cognitive Communications and Networking.

[17]  Anthony Ephremides,et al.  Age of Information and Throughput in a Shared Access Network with Heterogeneous Traffic , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[18]  Sennur Ulukus,et al.  Age-Minimal Transmission in Energy Harvesting Two-Hop Networks , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[19]  Eytan Modiano,et al.  Age of information: Design and analysis of optimal scheduling algorithms , 2016, 2017 IEEE International Symposium on Information Theory (ISIT).

[20]  Aylin Yener,et al.  Impact of Imperfect Spectrum Sensing on Age of Information in Energy Harvesting Cognitive Radios , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[21]  Pingyi Fan,et al.  Uplink age of information of unilaterally powered two-way data exchanging systems , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[22]  Ness B. Shroff,et al.  Age-optimal information updates in multihop networks , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

[23]  Sanjit Krishnan Kaul,et al.  Minimizing age of information in vehicular networks , 2011, 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[24]  Harpreet S. Dhillon,et al.  Fundamentals of Modeling Finite Wireless Networks Using Binomial Point Process , 2016, IEEE Transactions on Wireless Communications.

[25]  Elif Uysal-Biyikoglu,et al.  Age of information under energy replenishment constraints , 2015, 2015 Information Theory and Applications Workshop (ITA).

[26]  Jing Yang,et al.  Sening Information Through Status Updates , 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

[27]  Sennur Ulukus,et al.  Coded status updates in an energy harvesting erasure channel , 2018, 2018 52nd Annual Conference on Information Sciences and Systems (CISS).

[28]  Roy D. Yates,et al.  Multicast with Prioritized Delivery: How Fresh is Your Data? , 2018, 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[29]  Aylin Yener,et al.  Minimizing Age of Information for an Energy Harvesting Cognitive Radio , 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).

[30]  Derrick Wing Kwan Ng,et al.  Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems , 2015, IEEE Communications Letters.

[31]  Kaibin Huang,et al.  Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks , 2013, IEEE Transactions on Wireless Communications.

[32]  Eytan Modiano,et al.  Minimizing the Age of Information in broadcast wireless networks , 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

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

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

[35]  Jingxian Wu,et al.  Optimal Status Update for Age of Information Minimization With an Energy Harvesting Source , 2017, IEEE Transactions on Green Communications and Networking.

[36]  H. Vincent Poor,et al.  Age-Minimal Transmission for Energy Harvesting Sensors With Finite Batteries: Online Policies , 2018, IEEE Transactions on Information Theory.