Abstract
Multiple-input multiple-output (MIMO) systems have an advantage of spectral efficiency compared to single-input single-output systems, which means that the MIMO systems have significantly higher data throughput. The V-BLAST (Vertical Bell Laboratories Layered Space Time) scheme is a popular transceiver structure which has relatively good performance. In the V-BLAST scheme, ordered successive interference cancellation (OSIC) technique was proposed as a possible efficient detection method in terms of performance and complexity. However, MIMO systems suffer from high complexity and implementation cost. As a practical solution, a technique called antenna selection has been introduced. Since the existing literature considered only the capacity-based selection, we develop an optimal selection method for V-BLAST scheme using OSIC detection with respect to error rate performance in this article. Its complexity is shown to be proportional to the fourth power of the number of transmit antennas. To reduce the complexity without significant performance degradation compared to the optimal selection method, a near-optimal selection method is also proposed. Simulation results show that the proposed selection method is very close to the performance of optimal selection.
Highlights
The spatial multiplexing systems with multiple transmit/ receive antennas, referred to as multiple-input multipleoutput (MIMO), have been developed to provide high data rate with limited bandwidth, i.e., high spectral efficiency
We focus on the antenna selection for VBLAST scheme using ordered successive interference cancellation (OSIC) detection with respect to error rate performance
In order to derive an alternative expression for signal-to-noise and interference ratio (SINR) at each detection stage, we summarize the overall process of ZF-OSIC detection algorithm as follows initialization: i←1
Summary
The spatial multiplexing systems with multiple transmit/ receive antennas, referred to as multiple-input multipleoutput (MIMO), have been developed to provide high data rate with limited bandwidth, i.e., high spectral efficiency. Obtaining the optimal detection order needs so many pseudo-inverse matrix operations as the number of transmit antennas. In order to reduce the selection complexity, we will propose a new detection order with which we select the antenna subset This new detection order can be obtained by only one pseudoinverse matrix operation, and it can be very effective in the MIMO systems with a large number of antennas. If the current channel can be estimated at the receiver via training or pilot signals, we can obtain the detection order for the antenna selection. The SINR of each detection stage is proportional to the squared absolute value of diagonal elements of the R matrix This result can be explained intuitively as follows. The SINR at the first detection stage is proportional to the last diagonal element RN,N of R, the SINR at the second detection stage to RN-1 ,N-1, and so forth
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