TY - GEN
T1 - Age of information for wireless energy harvesting secondary users in cognitive radio networks
AU - Leng, Shiyang
AU - Ni, Xiaoyong
AU - Yener, Aylin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
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U2 - 10.1109/MASS.2019.00049
DO - 10.1109/MASS.2019.00049
M3 - Conference contribution
AN - SCOPUS:85085024158
T3 - Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019
SP - 353
EP - 361
BT - Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019
Y2 - 4 November 2019 through 7 November 2019
ER -