Abstract
As the limited spectrum resource becoming over crowded,
cognitive wireless mesh networks have great flexibility
to improve the spectrum utilization by opportunistically
accessing the authorized frequency bands. One of critical
challenges for realizing such networks is how to
adaptively allocate transmit powers and frequencies among
secondary users (SUs) while maintaining the quality of
service (QoS) requirement of the primary users (PUs). In
this paper, we consider the power control problem in
cognitive wireless mesh network formed by clusters under
the total transmit power constraint by each SU as well as
the mean-squared error (MSE) constraint by the PU. The
problem is modeled as a non-cooperative game. A
distributed iterative power allocation algorithm is
proposed to reach the Nash equilibrium (NE). It offers an
opportunity for SUs to negotiate the best use of power
and frequency with each other. Numerical results are
presented to illustrate the efficiency and accuracy of
the algorithm. (12 refs.)
| Original language | English |
|---|---|
| Title of host publication | 2009 International Conference on Wireless Communications & Signal Processing, WCSP 2009 |
| Subtitle of host publication | Proceedings |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 387-391 |
| ISBN (Print) | 978-1-4244-4856-2 |
| DOIs | |
| Publication status | Published - 2009 |
| MoE publication type | A4 Article in a conference publication |
| Event | International Conference on Wireless Communications & Signal Processing, WCSP 2009 - Nanjing, China Duration: 13 Nov 2009 → 15 Nov 2009 |
Conference
| Conference | International Conference on Wireless Communications & Signal Processing, WCSP 2009 |
|---|---|
| Abbreviated title | WCSP 2009 |
| Country/Territory | China |
| City | Nanjing |
| Period | 13/11/09 → 15/11/09 |