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VLSI implementation of high throughput MIMO OFDM transceiver for 4th generation systems

机译:第4代系统的高吞吐量MIMO OFDM收发器的VLSI实现

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This paper aims to maximize throughput by minimizing power as minimum as possible. Scores of optimization techniques such as FFT, IFFT and memory optimization are available for reducing power of mobile OFDM systems. An approach for achieving reduction in power of MIMO OFDM system by optimizing FFT architecture is addressed in this paper. Memory references in MIMO OFDM transceiver are costly due to their long delay and high power consumption. To implement fast Fourier transform (FFT) algorithms on MIMO OFDM, involves many memory references to access butterfly inputs and twiddle factors. Conventional FFT implementations require unused memory references to load the same twiddle factors for butterflies from different stages in FFT diagrams. To minimize memory references due to twiddle factors for implementing FFT algorithms in MIMO OFDM systems, memory reference reduction method is incorporated here. Twiddle factor is calculated using binary scaling technique. The proposed FFT structure is the combination of memory reference reduction method with binary scaling technique and Radix-4 booth multiplier. Here multipliers in FFT are realized with shifters, adders and subtractors. The proposed structure is evaluated using performance parameters such as BER and SNR. Structural realization and analysis pertaining to timing, power and throughput are implemented in Virtex-4 and analysis is carried out in Altera respectively.
机译:本文旨在通过将功耗降至最低来最大化吞吐量。数十种优化技术(例如FFT,IFFT和存储器优化)可用于降低移动OFDM系统的功耗。本文提出了一种通过优化FFT架构来降低MIMO OFDM系统功耗的方法。由于MIMO OFDM收发器中的存储器参考延迟长且功耗高,因此它们的成本很高。为了在MIMO OFDM上实现快速傅立叶变换(FFT)算法,需要使用许多内存引用来访问蝶形输入和旋转因子。传统的FFT实施需要未使用的存储器引用,以便为来自FFT图中不同阶段的蝶形加载相同的旋转因子。为了最小化由于用于在MIMO OFDM系统中实现FFT算法的旋转因素而导致的存储参考,此处引入了存储参考减少方法。旋转因子是使用二进制缩放技术计算的。所提出的FFT结构是将存储器参考缩减方法与二进制缩放技术和Radix-4展位乘法器相结合。 FFT中的乘法器通过移位器,加法器和减法器实现。使用诸如BER和SNR之类的性能参数对提出的结构进行评估。在Virtex-4中实现了与时序,功耗和吞吐量有关的结构实现和分析,而在Altera中则分别进行了分析。

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