• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Optimal Channel Sensing for Heterogeneous Cognitive Networks: An Analytical Approach

Vol. 7, No.12, December 29, 2013
10.3837/tiis.2013.12.002, Download Paper (Free):

Abstract

The problem of optimal channel sensing in heterogeneous cognitive networks is considered to maximize the system throughput performance. The characteristics of an optimal operating sensing point maximizing the overall system rate are investigated under several rate criteria including the sum rate, the minimum of the primary and secondary rates, and the secondary rate with a guaranteed primary rate. Under the sum rate criterion, it is shown that the loss by imperfect sensing is no greater than half of the sum rate achieved by the perfect time sharing approach in a two user case if the sensing point is optimally designed.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Heejung Yu, "Optimal Channel Sensing for Heterogeneous Cognitive Networks: An Analytical Approach," KSII Transactions on Internet and Information Systems, vol. 7, no. 12, pp. 2987-3002, 2013. DOI: 10.3837/tiis.2013.12.002

[ACM Style]
Yu, H. 2013. Optimal Channel Sensing for Heterogeneous Cognitive Networks: An Analytical Approach. KSII Transactions on Internet and Information Systems, 7, 12, (2013), 2987-3002. DOI: 10.3837/tiis.2013.12.002