Abstract
We consider a cognitive radio enabled vehicular network with many primary users and a multi-channel secondary user(SU). A channel is allocated to each primary user for data transmission. SU is data backlogged and selects channels for transmission. SU knows neither channel states nor statistics of channel evolution processes. If SU senses that a good-state selected channel is in good state,it sends data over that channel at that time. Otherwise,SU do not use that channel and make another selection in the next time. Under average throughput criteria,it is shown that greedy policy is optimal for certain fading channel evolution processes although it is generally suboptimal.
Translated title of the contribution | Average throughput performance of greedy policy in cognitive radio enabled vehicular networks |
---|---|
Original language | Turkish |
Title of host publication | SIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665436496 |
DOIs | |
Publication status | Published - 9 Jun 2021 |
Externally published | Yes |
Event | 29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 - Virtual, Istanbul, Turkey Duration: 9 Jun 2021 → 11 Jun 2021 |
Publication series
Name | SIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings |
---|
Conference
Conference | 29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 |
---|---|
Country/Territory | Turkey |
City | Virtual, Istanbul |
Period | 9/06/21 → 11/06/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.