Adaptive Resource Allocation and Scheduling for Cognitive Radio MIMO-OFDMA Systems

Author

Liu, Wei ; Hu, Yahui ; Ci, Song ; Tang, Hui

Author_Institution

High Performance Network Lab., Chinese Acad. of Sci., Beijing, China

fYear

2011

fDate

15-18 May 2011

Firstpage

1

Lastpage

6

Abstract

In this paper, channel adaptive resource allocation and user scheduling problem for cognitive radio multiple-inputmultiple-output orthogonal frequency-division multiple access systems is investigated. Furthermore, stochastic approximation is employed to develop an on-line algorithm which is capable of adaptively learning the underlying channel distribution. The NP-hard combinatorial resource allocation and user scheduling problem is then solved through via the Lagrangian relaxation approach. Numerical results demonstrate the effectiveness of our proposed scheme.

Keywords

MIMO communication; cognitive radio; frequency division multiple access; optimisation; resource allocation; Lagrangian relaxation; MIMO OFDMA systems; NP hard combinatorial resource allocation; channel adaptive resource allocation; channel distribution; cognitive radio; online algorithm; stochastic approximation; user scheduling problem; Adaptive systems; Approximation methods; Interference; Niobium; Optimization; Quality of service; Resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd

Conference_Location

Yokohama

ISSN

1550-2252

Print_ISBN

978-1-4244-8332-7

Type

conf

DOI

10.1109/VETECS.2011.5956692

Filename

5956692