Abstract

QR decomposition and M-algorithm based near maximum likelihood block detection (QRM-MLBD) significantly improves the single-carrier (SC) multiple-input multiple-output (SC-MIMO) transmission performance in a frequency-selective fading channel. In the conventional QRM-MLBD, the cyclic prefix (CP) is inserted in order to avoid the inter-block interference (IBI). However, CP insertion reduces the transmission efficiency. In this paper, an iterative overlap QRM-MLBD is proposed for SC-MIMO transmission with no CP insertion. It is confirmed by computer simulation that the iterative overlap QRM-MLBD with no CP insertion provides improved throughput performance while reducing the computational complexity over the conventional QRM-MLBD with CP insertion.

Highlights

  • In the generation mobile communication systems, broadband data services are demanded

  • The performance of SC-Multiple-input multiple-output (MIMO) spatial multiplexing using iterative overlap QRM-MLBD is evaluated by computer simulation

  • We proposed a time-domain iterative overlap QRM-MLBD which requires no cyclic prefix (CP) insertion for SC-MIMO spatial multiplexing

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Summary

Introduction

In the generation mobile communication systems, broadband data services are demanded. The use of the cyclic prefix (CP) and frequency-domain block detection such as a computational efficient minimum mean square error (MMSE) based linear detection [7] can improve the transmission performance of SC-MIMO spatial multiplexing. QR decomposition and M-algorithm based near-maximum likelihood block detection (QRM-MLBD) was proposed [8,9] for broadband SC-MIMO spatial multiplexing. QRM-MLBD significantly improves the transmission performance of SC-MIMO spatial multiplexing in a frequency-selective fading channel while significantly reducing the computational complexity compared with ML detection. Note that the proposed iterative overlap QRM-MLBD is implemented in the time-domain (no DFT is used in block detection). We extend the previously proposed iterative overlap QRM-MLBD to SC-MIMO spatial multiplexing with no CP insertion.

Transmission System Model
Received Signal Representation
Stacked Received Symbol Vector
Modification of the Stacked Received Symbol Vector
QRM-MLBD
IBI power distribution
Computer Simulation Results
Throughput Performance
Computational Complexity
Conclusion
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