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

MMSE Transmit Optimization for Multiuser Multiple-Input Single-Output Broadcasting Channels in Cognitive Radio Networks

Vol. 7, No.9, September 30, 2013
10.3837/tiis.2013.09.003, Download Paper (Free):

Abstract

In this paper, we address the problem of linear minimum mean-squared error (MMSE) transmitter design for the cognitive radio (CR) multi-user multiple-input single-output (MU-MISO) broadcasting channel (BC), where the cognitive users are subject to not only a sum power constraint, but also a interference power constraint. Evidently, this multi-constraint problem renders it difficult to solve. To overcome this difficulty, we firstly transform it into its equivalent formulation with a single constraint. Then by utilizing BC-MAC duality, the problem of BC transmitter design can be solved by focusing on a dual MAC problem, which is easier to deal with due to its convexity property. Finally we propose an efficient two-level iterative algorithm to search the optimal solution. Our simulation results are provided to corroborate the effectiveness of the proposed algorithm and show that this proposed CR MMSE-based scheme achieves a suboptimal sum-rate performance compared to the optimal DPC-based algorithm with less computational complexity.


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Cite this article

[IEEE Style]
Huijin Cao, Yanhui Lu and Jun Cai, "MMSE Transmit Optimization for Multiuser Multiple-Input Single-Output Broadcasting Channels in Cognitive Radio Networks," KSII Transactions on Internet and Information Systems, vol. 7, no. 9, pp. 2120-2133, 2013. DOI: 10.3837/tiis.2013.09.003

[ACM Style]
Cao, H., Lu, Y., and Cai, J. 2013. MMSE Transmit Optimization for Multiuser Multiple-Input Single-Output Broadcasting Channels in Cognitive Radio Networks. KSII Transactions on Internet and Information Systems, 7, 9, (2013), 2120-2133. DOI: 10.3837/tiis.2013.09.003