Computer Science – Networking and Internet Architecture
Scientific paper
2010-08-26
Computer Science
Networking and Internet Architecture
A shorter version of this report has been submitted to INFOCOM 2011
Scientific paper
We consider a cognitive radio network where primary users (PUs) employ network coding for data transmissions. We view network coding as a spectrum shaper, in the sense that it increases spectrum availability to secondary users (SUs) and offers more structure of spectrum holes that improves the predictability of the primary spectrum. With this spectrum shaping effect of network coding, each SU can carry out adaptive channel sensing by dynamically updating the list of the PU channels predicted to be idle while giving priority to these channels when sensing. This dynamic spectrum access approach with network coding improves how SUs detect and utilize temporal spectrum holes over PU channels. Our results show that compared to the existing approaches based on retransmission, both PUs and SUs can achieve higher stable throughput, thanks to the spectrum shaping effect of network coding.
Li Jason H.
Sagduyu Yalin E.
Wang Shanshan
Zhang Junshan
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