Abstract

For a low complexity signal detector to reduce the power consumption for multiple input and multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems, the depth-first sphere decoding (DFSD) detection scheme was proposed. However, the DFSD detection scheme still has high complexity in the hardware implementation. The complexity is especially high when the signal-to-noise ratio (SNR) is low. Therefore, this paper proposes an adaptive DFSD detection scheme. The proposed detection scheme arrays nodes, sorting by ascending order of squared Euclidean distance (ED) at the top layer of tree structure. Then, the proposed detection scheme uses the different number of nodes according to thresholds based on channel condition. In the simulation results, the proposed detection scheme has similar error performance and low complexity compared with the conventional DFSD detection scheme. Therefore, the proposed detection scheme reduces the power consumption in the signal detector.

Highlights

  • Wireless communication technology has evolved as demand for increasing the data rate has grown

  • At the Nt -th layer, the nodes are sorted according to ascending order of squared Euclidean distance (ED)

  • depth-first sphere decoding (DFSD) detection scheme at low signal-to-noise ratio (SNR) has lower complexity and the lower increase rate of complexity according to the number of transmit antennas than the conventional DFSD detection scheme

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Summary

Introduction

Wireless communication technology has evolved as demand for increasing the data rate has grown. Multiple input and multiple output (MIMO) based on orthogonal frequency division multiplexing (OFDM) systems can increase the capacity of wireless communication by using multiple antennas, and improve link reliability in transferring data [1,2,3]. To maximize these benefits, the design of the receiver is important. In order to overcome these disadvantages, this paper proposes an adaptive DFSD detection scheme, which has low complexity compared to the conventional DFSD detection scheme. By using the proposed method, the adaptive DFSD detection scheme has little error performance degradation and significantly less complexity

System Model
Maximum Likelihood Detection
Conventional Depth-First Sphere Decoding
Proposed Adaptive DFSD Detection Scheme
The Thresholds Based on Channel Condition
Simulation Results
The Bit Error Rate Performance
The Complexity
Conclusions

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