混合比特量化接收機(jī)在Massive MIMO下的應(yīng)用
發(fā)布時(shí)間：2018-12-05 20:28
【摘要】：隨著現(xiàn)代無(wú)線(xiàn)通信技術(shù)的發(fā)展,為了進(jìn)一步增強(qiáng)無(wú)線(xiàn)通信系統(tǒng)的傳輸性能,Massive MIMO系統(tǒng)作為下一代無(wú)線(xiàn)通信系統(tǒng)的核心技術(shù)已經(jīng)被越來(lái)越廣泛的認(rèn)可。而massive MIMO系統(tǒng)需要在基站端配置成百上千的巨大規(guī)模的天線(xiàn)數(shù)量,因?yàn)樘炀�(xiàn)數(shù)量的急劇增加,對(duì)整個(gè)系統(tǒng)中的量化ADC來(lái)說(shuō),占用資源消耗、復(fù)雜度和功耗成為了亟待解決的問(wèn)題。所以在未來(lái)的massive MIMO 5G無(wú)線(xiàn)通信中,如何配置一種高速率高性能的ADC變得至關(guān)重要。目前對(duì)于在massive MIMO下的高速率和高性能ADC,主流的方法是采用了低量化比特的結(jié)構(gòu)。區(qū)別于12比特量化的ADC,低量化比特的ADC具有功耗低,速率快的特點(diǎn)。在低量化比特的ADC中為了追求和高量化比特ADC同等級(jí)的性能,人們提出了各種算法的檢測(cè)器,其中主流的有基于最大似然估計(jì)的EM算法和GAMP算法。這三種算法都是通過(guò)循環(huán)迭代來(lái)代替具有復(fù)雜計(jì)算量的最大似然估計(jì)。然而低比特量化的結(jié)構(gòu)在量化估計(jì)后與高比特量化相比性能畢竟有所差異。為了精準(zhǔn)估計(jì)出一些CSI信息,高比特量化的結(jié)構(gòu)是必要的。所以混和量化結(jié)構(gòu)的接收機(jī)是一種在massive MIMO中非常實(shí)用的結(jié)構(gòu)。本文介紹了GAMP算法的DQ理想檢測(cè)器。并在此基礎(chǔ)上提出了GAMP算法的PDQ檢測(cè)器和線(xiàn)性檢測(cè)器。這兩種檢測(cè)器在結(jié)構(gòu)上混合了高比特量化和低比特量化,兼顧了高性能和高速率ADC的要求以及精確估計(jì)CSI信息的要求。同時(shí)這兩種檢測(cè)器相比于DQ理想檢測(cè)器計(jì)算量更簡(jiǎn)單更容易硬件實(shí)現(xiàn)。接著,本文對(duì)GAMP算法的DQ理想檢測(cè)器、PDQ檢測(cè)器和線(xiàn)性檢測(cè)器做了仿真。本文建立了混合比特量化接收機(jī)的系統(tǒng)模型,并且在該模型下驗(yàn)證了三種檢測(cè)器的誤碼率和MSE性能。同時(shí)本文還針對(duì)量化步長(zhǎng),量化方差和混合結(jié)構(gòu)的混合度做了大量仿真。分析了量化步長(zhǎng),量化方差和混合結(jié)構(gòu)對(duì)不同檢測(cè)器的影響。最后本文的仿真驗(yàn)證了PDQ檢測(cè)器比DQ檢測(cè)器的性能下降不大,同時(shí)計(jì)算復(fù)雜度得到了大幅度減少。從而證明了GAMP算法的PDQ檢測(cè)器是一種對(duì)混合比特量化接收機(jī)的優(yōu)良結(jié)構(gòu),這種改良的混合比特量化接收機(jī)是一種非常適用的結(jié)構(gòu)。
[Abstract]:With the development of modern wireless communication technology, in order to further enhance the transmission performance of wireless communication system, Massive MIMO system as the core technology of the next generation wireless communication system has been more and more widely recognized. The massive MIMO system needs to deploy hundreds of large antennas in the base station, because of the rapid increase of the number of antennas, the consumption of resources, complexity and power consumption have become a problem to be solved urgently for the quantized ADC in the whole system. Therefore, in the future massive MIMO 5 G wireless communication, how to configure a high speed and high performance ADC becomes very important. At present, the main method of high speed and high performance ADC, under massive MIMO is to adopt low quantization bit structure. ADC, which is different from 12 bit quantization ADC, with low quantization bit, has the characteristics of low power consumption and high rate. In order to achieve the same performance as high quantization bit ADC in low-quantized bit ADC, a variety of detectors are proposed, among which the main algorithms are EM algorithm based on maximum likelihood estimation and GAMP algorithm. These three algorithms replace the maximum likelihood estimation with complex computational complexity by cyclic iteration. However, the performance of low bit quantization structure is different from that of high bit quantization after quantization estimation. In order to estimate some CSI information accurately, high bit quantization structure is necessary. So the receiver with mixed quantization structure is a very practical structure in massive MIMO. In this paper, the DQ ideal detector of GAMP algorithm is introduced. On this basis, the PDQ detector and linear detector of GAMP algorithm are proposed. The two detectors are structured as a mixture of high bit quantization and low bit quantization, taking into account the requirements of high performance and high rate ADC as well as the requirement of accurate estimation of CSI information. At the same time, these two detectors are simpler and easier to implement in hardware than DQ ideal detectors. Then, the DQ ideal detector, PDQ detector and linear detector of GAMP algorithm are simulated. In this paper, the system model of the hybrid bit quantization receiver is established, and the error rate and MSE performance of the three detectors are verified under the model. At the same time, the quantization step size, quantization variance and mixing degree of hybrid structure are simulated. The effects of quantization step size, quantization variance and mixed structure on different detectors are analyzed. Finally, the simulation results show that the performance of the PDQ detector is not much worse than that of the DQ detector, and the computational complexity is greatly reduced. It is proved that the PDQ detector of the GAMP algorithm is an excellent structure for the hybrid bit quantization receiver, and the improved hybrid bit quantization receiver is a very suitable structure.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類(lèi)號(hào)】：TN851;TN919.3
本文編號(hào)：2365427
[Abstract]:With the development of modern wireless communication technology, in order to further enhance the transmission performance of wireless communication system, Massive MIMO system as the core technology of the next generation wireless communication system has been more and more widely recognized. The massive MIMO system needs to deploy hundreds of large antennas in the base station, because of the rapid increase of the number of antennas, the consumption of resources, complexity and power consumption have become a problem to be solved urgently for the quantized ADC in the whole system. Therefore, in the future massive MIMO 5 G wireless communication, how to configure a high speed and high performance ADC becomes very important. At present, the main method of high speed and high performance ADC, under massive MIMO is to adopt low quantization bit structure. ADC, which is different from 12 bit quantization ADC, with low quantization bit, has the characteristics of low power consumption and high rate. In order to achieve the same performance as high quantization bit ADC in low-quantized bit ADC, a variety of detectors are proposed, among which the main algorithms are EM algorithm based on maximum likelihood estimation and GAMP algorithm. These three algorithms replace the maximum likelihood estimation with complex computational complexity by cyclic iteration. However, the performance of low bit quantization structure is different from that of high bit quantization after quantization estimation. In order to estimate some CSI information accurately, high bit quantization structure is necessary. So the receiver with mixed quantization structure is a very practical structure in massive MIMO. In this paper, the DQ ideal detector of GAMP algorithm is introduced. On this basis, the PDQ detector and linear detector of GAMP algorithm are proposed. The two detectors are structured as a mixture of high bit quantization and low bit quantization, taking into account the requirements of high performance and high rate ADC as well as the requirement of accurate estimation of CSI information. At the same time, these two detectors are simpler and easier to implement in hardware than DQ ideal detectors. Then, the DQ ideal detector, PDQ detector and linear detector of GAMP algorithm are simulated. In this paper, the system model of the hybrid bit quantization receiver is established, and the error rate and MSE performance of the three detectors are verified under the model. At the same time, the quantization step size, quantization variance and mixing degree of hybrid structure are simulated. The effects of quantization step size, quantization variance and mixed structure on different detectors are analyzed. Finally, the simulation results show that the performance of the PDQ detector is not much worse than that of the DQ detector, and the computational complexity is greatly reduced. It is proved that the PDQ detector of the GAMP algorithm is an excellent structure for the hybrid bit quantization receiver, and the improved hybrid bit quantization receiver is a very suitable structure.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類(lèi)號(hào)】：TN851;TN919.3
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