This paper focuses on cognitive radio (CR) internet- of-things (IoT) networks where spectrum sensors are deployed for IoT CR devices, which do not have enough hardware capability to identify an unoccupied spectrum by themselves. In this sensor- enabled IoT CR network, the CR devices and the sensors are separated. It induces that spectrum occupancies at locations of CR devices and sensors could be different. To handle this difference, we investigate a conditional interference distribution (CID) at the CR device for a given measured interference at the sensor. We can observe a spatial correlation of the aggregate interference distribution through the CID. Reflecting the CID, we devise a cognitive random access scheme which adaptively adjusts transmission probability with respect to the interference measurement of the sensor. Our scheme improves area spectral efficiency (ASE) compared to conventional ALOHA and an adaptive transmission scheme which attempts to send data when the sensor measurement is lower than an interference threshold.
|Title of host publication||2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2017 Nov 14|
|Event||85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia|
Duration: 2017 Jun 4 → 2017 Jun 7
|Name||IEEE Vehicular Technology Conference|
|Conference||85th IEEE Vehicular Technology Conference, VTC Spring 2017|
|Period||17/6/4 → 17/6/7|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT This research was supported by the Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. 2015-0-00294, Spectrum Sensing and Future Radio Communication Platforms and No. 2016-0-00208, High Accurate Positioning Enabled MIMO Transmission and Network Technologies for Next 5GV2X (vehicle-to-everything) Services).
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics