基于LTE-A的仿真平臺搭建及MIMO關鍵算法研究與驗證
發(fā)布時間：2019-06-20 23:20
【摘要】：LTE-A(Long Term Evolution-Advanced)作為第四代移動通信技術,在上下行傳輸速率、通信質量等方面相比3G系統(tǒng)取得了很大提升。作為目前全面推廣的通信技術,在高吞吐量和可靠通信傳輸?shù)碾p向要求下,從空間領域挖掘更多可用傳輸資源以及從有效的信道反饋角度提供更穩(wěn)定通信質量等方向成為LTE-A重點技術。多用戶多輸入多輸出(Multiple Users-Multiple Input Multiple Output,MUMIMO)、鏈路自適應、混合自動請求重傳(Hybird Automatic Repeat reQuest,HARQ)等在LTE-A協(xié)議中提供重要技術支持。基于預編碼的MU-MIMO技術跟傳統(tǒng)點對點MIMO技術相比能提供多用戶配對增益、解決收發(fā)天線數(shù)差異較大及天線相關性問題、較傳統(tǒng)MIMO技術能提供更高系統(tǒng)容量;鏈路自適應技術可根據(jù)下行信道瞬息變化調整系統(tǒng)的編碼和調制方式以達到最優(yōu)吞吐量;混合自動請求重傳HARQ結合前向糾錯編碼技術和自動請求重傳技術,在一定糾錯能力基礎上重傳軟合并數(shù)據(jù),提供了更快速可靠的傳輸。本論文基于LTE-A編碼調制等不同協(xié)議搭建下行物理共享信道傳輸平臺,實現(xiàn)MU-MIMO、鏈路自適應、HARQ等技術。完成了基于時分、頻分雙工模式下的幾種關鍵MU-MIMO預編碼算法的仿真驗證工作,包括TDD模式下基于奇異值分解的預編碼技術和多用戶塊對角化預編碼技術;FDD模式下基于RANK-2反饋的MU-MIMO預編碼技術和基于迫零波束成形的RANK-1 MU-MIMO預編碼技術。在這些算法上加載了鏈路自適應技術以及HARQ技術,同時仿真驗證了各種MU-MIMO算法在加載鏈路自適應和HARQ后的性能和吞吐量的增益。本文同時在基于信干噪比(Signal-to-Interference plus Noise Ratio,SINR)的雙流MU-MIMO調度算法上的不足,提出了基于修正SINR的MU-MIMO調度方案以增加MU-MIMO系統(tǒng)在SNR較高時的吞吐量。最后本文提出在MU-MIMO基礎上引入設備到設備(Device to Device,D2D)終端交互的聯(lián)合檢測接收后,可并發(fā)超過兩流的多流MU-MIMO通信,進一步提升了MU-MIMO系統(tǒng)的吞吐量。
[Abstract]:As the fourth generation mobile communication technology, LTE-A (Long Term Evolution-Advanced) has made great progress compared with 3G system in terms of uplink transmission rate and communication quality. As a comprehensive communication technology, under the two-way requirements of high throughput and reliable communication transmission, mining more available transmission resources from the space field and providing more stable communication quality from the point of view of effective channel feedback has become the key technology of LTE-A. Multi-user multi-input multiple-output (Multiple Users-Multiple Input Multiple Output,MUMIMO), link adaptation, hybrid automatic request retransmission (Hybird Automatic Repeat reQuest,HARQ) provide important technical support in LTE-A protocol. Compared with the traditional point-to-point MIMO technology, the MU-MIMO technology based on precoding can provide multiuser pairing gain, solve the problem of large difference in the number of antennas and antenna correlation, and provide higher system capacity than the traditional MIMO technology, and the link adaptive technology can adjust the coding and modulation mode of the system according to the transient change of downlink channel to achieve the optimal throughput. Hybrid automatic request retransmission HARQ combines forward error correction coding technology and automatic request retransmission technology to retransmit soft merged data on the basis of certain error correction ability, which provides faster and more reliable transmission. In this paper, a downlink physical shared channel transmission platform is built based on different protocols such as LTE-A coding and modulation, and MU-MIMO, link adaptation, HARQ and other technologies are realized. The simulation and verification of several key MU-MIMO precoding algorithms based on time division and frequency division duplex mode are completed, including singular value decomposition based precoding technology and multi-user block diagonal precoding technology in TDD mode, MU-MIMO precoding technology based on RANK-2 feedback in FDD mode and RANK-1 MU-MIMO precoding technology based on zero forcing beamforming. The link adaptation technology and HARQ technology are loaded on these algorithms, and the performance and throughput gains of various MU-MIMO algorithms after loading link adaptation and HARQ are verified by simulation. At the same time, in view of the shortcomings of the dual-stream MU-MIMO scheduling algorithm based on signal-to-noise ratio (Signal-to-Interference plus Noise Ratio,SINR), a MU-MIMO scheduling scheme based on modified SINR is proposed to increase the throughput of MU-MIMO systems when SNR is high. Finally, this paper proposes to introduce the joint detection and reception of device-to-device (Device to Device,D2D) terminal interaction on the basis of MU-MIMO, which can parallel more than two streams of multi-stream MU-MIMO communication, which further improves the throughput of MU-MIMO system.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN929.53;TN919.3
本文編號：2503597
[Abstract]:As the fourth generation mobile communication technology, LTE-A (Long Term Evolution-Advanced) has made great progress compared with 3G system in terms of uplink transmission rate and communication quality. As a comprehensive communication technology, under the two-way requirements of high throughput and reliable communication transmission, mining more available transmission resources from the space field and providing more stable communication quality from the point of view of effective channel feedback has become the key technology of LTE-A. Multi-user multi-input multiple-output (Multiple Users-Multiple Input Multiple Output,MUMIMO), link adaptation, hybrid automatic request retransmission (Hybird Automatic Repeat reQuest,HARQ) provide important technical support in LTE-A protocol. Compared with the traditional point-to-point MIMO technology, the MU-MIMO technology based on precoding can provide multiuser pairing gain, solve the problem of large difference in the number of antennas and antenna correlation, and provide higher system capacity than the traditional MIMO technology, and the link adaptive technology can adjust the coding and modulation mode of the system according to the transient change of downlink channel to achieve the optimal throughput. Hybrid automatic request retransmission HARQ combines forward error correction coding technology and automatic request retransmission technology to retransmit soft merged data on the basis of certain error correction ability, which provides faster and more reliable transmission. In this paper, a downlink physical shared channel transmission platform is built based on different protocols such as LTE-A coding and modulation, and MU-MIMO, link adaptation, HARQ and other technologies are realized. The simulation and verification of several key MU-MIMO precoding algorithms based on time division and frequency division duplex mode are completed, including singular value decomposition based precoding technology and multi-user block diagonal precoding technology in TDD mode, MU-MIMO precoding technology based on RANK-2 feedback in FDD mode and RANK-1 MU-MIMO precoding technology based on zero forcing beamforming. The link adaptation technology and HARQ technology are loaded on these algorithms, and the performance and throughput gains of various MU-MIMO algorithms after loading link adaptation and HARQ are verified by simulation. At the same time, in view of the shortcomings of the dual-stream MU-MIMO scheduling algorithm based on signal-to-noise ratio (Signal-to-Interference plus Noise Ratio,SINR), a MU-MIMO scheduling scheme based on modified SINR is proposed to increase the throughput of MU-MIMO systems when SNR is high. Finally, this paper proposes to introduce the joint detection and reception of device-to-device (Device to Device,D2D) terminal interaction on the basis of MU-MIMO, which can parallel more than two streams of multi-stream MU-MIMO communication, which further improves the throughput of MU-MIMO system.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN929.53;TN919.3
【參考文獻】
相關期刊論文 前1條
1 王彬;陳力;張欣;楊大成;;在LTE-Advanced網絡下的Device-to-Device通信[J];現(xiàn)代電信科技;2010年07期
，本文編號：2503597
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