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Complex Lattice Reduction based Scheduling for MIMO Broadcast Channel


Affiliations
1 Computer Science and Engineering Department, NIST, Berhampur, Orissa, Pin:761008, India
2 Computer Science Department, Berhampur University, Berhampur, Orissa, Pin: 761008, India
3 Electronics and Communication Engineering Department, NIST, Berhampur, Orissa, Pin: 761008, India
     

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It is known that MIMO detectors performance is highly influenced by the channel matrix condition number. An efficient way to decrease the channel matrix condition number is the use of Lattice Reduction techniques. The lattice reduction (LR)- aided precoding system , improves the channel condition and thereby the computational complexity at the mobile station can be dramatically reduced. In this paper, we propose scheduling scheme based on a Complex Lenstra-Lenstra-Lovasz (CLLL) algorithm. The Lattice reduction aided CLLL algorithm is implemented to reduce the condition number of the channel matrix and the resultant channel matrix is used in a MIMO Broadcast (MIMO BC) scheduling scheme with full feedback. The throughput performance of the CLLL based scheduling scheme is compared with the original scheduling scheme and it is found that the proposed method increases the total throughput.

Keywords

Condition Number, Lattice Reduction, MIMO, QR Decomposition.
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  • Complex Lattice Reduction based Scheduling for MIMO Broadcast Channel

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Authors

S. Padhy
Computer Science and Engineering Department, NIST, Berhampur, Orissa, Pin:761008, India
S. K. Das
Computer Science Department, Berhampur University, Berhampur, Orissa, Pin: 761008, India
S. Mishra
Electronics and Communication Engineering Department, NIST, Berhampur, Orissa, Pin: 761008, India

Abstract


It is known that MIMO detectors performance is highly influenced by the channel matrix condition number. An efficient way to decrease the channel matrix condition number is the use of Lattice Reduction techniques. The lattice reduction (LR)- aided precoding system , improves the channel condition and thereby the computational complexity at the mobile station can be dramatically reduced. In this paper, we propose scheduling scheme based on a Complex Lenstra-Lenstra-Lovasz (CLLL) algorithm. The Lattice reduction aided CLLL algorithm is implemented to reduce the condition number of the channel matrix and the resultant channel matrix is used in a MIMO Broadcast (MIMO BC) scheduling scheme with full feedback. The throughput performance of the CLLL based scheduling scheme is compared with the original scheduling scheme and it is found that the proposed method increases the total throughput.

Keywords


Condition Number, Lattice Reduction, MIMO, QR Decomposition.