On the capacity of cognitive radio MIMO Gaussian broadcast channels

Author

Xiao, Hai Lin ; Ouyang, Shan

Author_Institution

Sch. of Inf. & Commun., Guilin Univ. of Electron. Technol., Guilin, China

fYear

2009

fDate

23-25 July 2009

Firstpage

24

Lastpage

26

Abstract

The cognitive radio MIMO Gaussian broadcast channels model is proposed, and the capacity is also studied under both the cognitive users´ transmit power constraint and a set of interference power constraints at the licensed receivers. A duality technique and dirty paper coding (DPC) are used to simplify channel model where care available for both licensed and cognitive users in a spectrum sharing environment. Subgradient iterative power allocation (SIPA) algorithm is also used to solve the parameters of constraint in order to obtain the optimal values. Our analysis and simulation results show that the proposed channel model can be suitable for multiple cognitive users and a few of licensed users with multiple antennas.

Keywords

Gaussian channels; MIMO communication; antenna arrays; broadcast channels; channel capacity; channel coding; cognitive radio; dual codes; frequency allocation; gradient methods; radio receivers; wireless channels; DPC; MIMO Gaussian broadcast channel capacity; cognitive radio; dirty paper coding; duality technique; interference power constraint; licensed receiver; multiple antenna; spectrum sharing environment; subgradient iterative power allocation algorithm; transmit power constraint; Analytical models; Broadcast technology; Chromium; Cognitive radio; Interference constraints; Iterative algorithms; MIMO; Radio broadcasting; Radio transmitters; Receivers;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on

Conference_Location

Milpitas, CA

Print_ISBN

978-1-4244-4886-9

Electronic_ISBN

978-1-4244-4888-3

Type

conf

DOI

10.1109/ICCCAS.2009.5250574

Filename

5250574