Base Station MIMO Detector Algorithm Implementations

Question

1. What are the contributions in "Base station mimo detector algorithm implementations" ?

2. What is the main goal of using the HLS methodology?

3. What is the main goal of using HLS?

4. What is the purpose of the HLS methodology?

Accepted Answer

In this paper, the authors implement a high throughput multiple-input multiple-output ( MIMO ) detector for singlecarrier frequency-division multiple access ( SC-FDMA ) base station.. First, the authors compare the throughput performance and power consumption results of the different implementations.. Furthermore, the possible slight losses in the performance or design complexity with the HLS design method could be counteracted by choosing a higher category FPGA.

Accepted Answer

The main goal of using the HLS methodology is to improve productivity by shortening the time to create hardware and to reduce the errors introduced by manual refinement thereby shortening the verification time.

Accepted Answer

Interface synthesis makes it possible to map the transfer of data that is implied by passing of C++ function arguments to various hardware interfaces such as wires, registers, memories, buses, or more complex userdefined interfaces.

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All the necessary signals and timing constraints are generated during the synthesis process so that the generated RTL code conforms and is optimized to the desired interfaces.

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In addition to capability of achieving a higher throughput, the more advanced FPGAs have shown a better power performance as well.

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smaller silicontechnology can be exploited to achieve better results without modifying the algorithm or source code.

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if target independent behavioral VHDL was used, which reduces the design time significantly, the HLS implementation achieved better results.

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In HLS method, the optimization tools are presented by directives such as pipelining and, in case of VHDL, optimization tools are provided by various synthesize and implementation strategies.

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One of the most significant evolution steps is that the modern tools can synthesize even high complex wireless communication algorithms in relatively sort time.

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The result show that in addition to achieve the highest throughput, strategy D manages to perform a better performance in terms of power.

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HLS design method should be at least seriously considered as an alternative to traditional and more time consuming design method.

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The strategy B (PerformanceNetDelaylow), compensates for the optimistic delay estimation and adds extra delay cost to distance and high fanout connections.

Accepted Answer

The less complex algorithm, used, e.g., for the handwritten RTL vs HLS implementation method comparison, is the log-likelihood ratio (LLR) calculation block.

Base Station MIMO Detector Algorithm Implementations

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1. What are the contributions in "Base station mimo detector algorithm implementations" ?

2. What is the main goal of using the HLS methodology?

3. What is the main goal of using HLS?

4. What is the purpose of the HLS methodology?

5. What is the main benefit of the HLS tool?

6. What can be done to improve the performance of the HLS design method?

7. How much time did the HLS implementation take to implement?

8. What are the different optimization tools in HLS?

9. What is the significance of the evolution of the modern tools?

10. What is the result of the analysis?

11. What is the main reason why the HLS design method should be considered?

12. What is the strategy for Virtex 7?

13. What is the complex LSD algorithm?

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References

Capacity of Multi‐antenna Gaussian Channels

Frequency domain equalization for single-carrier broadband wireless systems

From theory to practice: an overview of MIMO space-time coded wireless systems

Achieving near-capacity on a multiple-antenna channel

On maximum-likelihood detection and the search for the closest lattice point

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