Abstract
Opportunity detection at secondary transmitters (TXs) is a key technique enabling cognitive radio (CR) networks. Such detection however cannot guarantee reliable communication at secondary receivers (RXs), especially when their association distance is long. To cope with the issue, this paper proposes a novel MAC called sense-and-predict (SaP), where each secondary TX decides whether to access or not based on the prediction of the interference level at RX. Firstly, we provide the spatial interference correlation in a probabilistic form using stochastic geometry, and utilize it to maximize the area spectral efficiency (ASE) for secondary networks while guaranteeing the service quality of primary networks. Through simulations and testbed experiments using USRP, SaP is shown to always achieve ASE improvement compared with the conventional TX based sensing.
| Original language | English |
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| Title of host publication | 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509028306 |
| DOIs | |
| Publication status | Published - 2017 May 5 |
| Event | 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017 - Baltimore, United States Duration: 2017 Mar 6 → 2017 Mar 9 |
Publication series
| Name | 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017 |
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Other
| Other | 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017 |
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| Country/Territory | United States |
| City | Baltimore |
| Period | 17/3/6 → 17/3/9 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications