LTE-A異構網(wǎng)絡中小區(qū)選擇與重選算法研究
發(fā)布時間：2018-10-09 16:15
【摘要】：LTE作為第三代移動通信之后的階段性變革,以OFDM和MIMO作為其無線網(wǎng)絡演進的核心技術。為了實現(xiàn)ITU對IMT-Advanced各項指標的規(guī)定,3GPP開啟了對LTE的后向兼容性演進過程,如載波聚合、協(xié)作多點傳輸和增強型小區(qū)間干擾協(xié)調(diào)等關鍵技術,這些統(tǒng)稱為LTE-A。移動終端成功地選擇服務小區(qū)并駐留是蜂窩移動通信網(wǎng)絡向終端用戶提供業(yè)務服務的前提,所以小區(qū)選擇與重選對通信系統(tǒng)的意義非常重要。2009年9月3GPP在LTE-A的標準化過程中提出了異構網(wǎng)絡技術,自此LTE-A異構網(wǎng)絡成為現(xiàn)階段的一個研究熱點。異構網(wǎng)絡由于引入的低功率節(jié)點的發(fā)射功率遠低于宏基站,導致低功率節(jié)點覆蓋區(qū)域很小,選擇低功率節(jié)點的用戶數(shù)量也很少,因而小區(qū)分裂增益未能實現(xiàn)最大化。圍繞擴展低功率節(jié)點的覆蓋區(qū)域和提高用戶選擇低功率節(jié)點的優(yōu)先級這個目標,在3GPP會議研究與討論中,一些增強型的LTE-A異構網(wǎng)絡小區(qū)選擇與重選算法相繼被提出,而高通公司提出的RE算法是研究和討論最多的算法。為了擴大LTE-A異構網(wǎng)絡中低功率節(jié)點的覆蓋區(qū)域進而提升用戶選擇低功率節(jié)點的優(yōu)先級,最終實現(xiàn)低功率節(jié)點對宏基站的業(yè)務分流和提升網(wǎng)絡性能的目標,本文提出兩種增強型小區(qū)選擇與重選算法。這些算法避免了傳統(tǒng)的小區(qū)選擇與重選算法選擇具有最強參考信號接收功率的小區(qū)作為服務小區(qū),而是選擇一個既能保證自身信號質(zhì)量同時又對其它小區(qū)產(chǎn)生很小干擾的小區(qū)。通過搭建系統(tǒng)仿真平臺對本文所提算法進行系統(tǒng)級仿真,首先將基于SINR隊列小區(qū)選擇與重選算法與傳統(tǒng)的小區(qū)選擇與重選算法進行系統(tǒng)性能仿真比較,在此基礎上,將基于干擾對齊的小區(qū)選擇算法與基于SINR隊列的小區(qū)選擇算法進行了仿真比較。仿真結果顯示,提出的基于SINR隊列小區(qū)選擇與重選算法和基于干擾對齊的小區(qū)選擇算法均能擴大低功率節(jié)點的覆蓋區(qū)域,提升用戶選擇低功率節(jié)點的優(yōu)先級,而且在系統(tǒng)增益方面,SINR隊列算法實現(xiàn)了與RE算法非常接近的同時,有效避免了RE算法存在的多數(shù)問題,如bias取值沒有統(tǒng)一的標準以及bias增加使低功率節(jié)點覆蓋區(qū)域中用戶的SINR趨于惡化；從仿真結果還可以看出,基于干擾對齊小區(qū)選擇算法對系統(tǒng)性能增益要比基于SINR隊列小區(qū)選擇算法提高45%左右�；赟INR隊列小區(qū)選擇算法和基于干擾對齊的小區(qū)選擇算法配合相應的小區(qū)間干擾協(xié)調(diào)技術在提升系統(tǒng)吞吐量的同時,也有效地提升了小區(qū)邊緣用戶吞吐量。
[Abstract]:LTE, as a phase change after the third generation mobile communication, takes OFDM and MIMO as the core technology of its wireless network evolution. In order to realize the specification of IMT-Advanced by ITU, 3GPP has opened the evolution process of backward compatibility to LTE, such as carrier aggregation, cooperative multipoint transmission and enhanced inter-cell interference coordination, which are collectively called LTE-A.. The successful selection and residence of a serving cell by a mobile terminal is a prerequisite for a cellular mobile communication network to provide a service to the end user. Therefore, cell selection and reselection are very important to communication system. In September 2009, 3GPP proposed heterogeneous network technology in the process of LTE-A standardization. Since then, LTE-A heterogeneous network has become a research hotspot at present. Because the transmission power of the low power node introduced in the heterogeneous network is much lower than that of the base station, the coverage area of the low power node is very small and the number of users who choose the low power node is very small, so the cell splitting gain can not be maximized. With the goal of extending the coverage of low power nodes and improving the priority of users to select low power nodes, in the research and discussion of 3GPP conference, some enhanced cell selection and reselection algorithms for LTE-A heterogeneous networks have been proposed one after another. The RE algorithm proposed by Qualcomm is the most studied and discussed algorithm. In order to expand the coverage area of low power nodes in LTE-A heterogeneous networks and enhance the priority of users to select low power nodes, the goal of low power nodes to divert traffic to Acer stations and improve network performance is finally realized. In this paper, two enhanced cell selection and reselection algorithms are proposed. These algorithms avoid the traditional cell selection and reselection algorithm to select the cell with the strongest reference signal received power as the serving cell, but choose a cell that can guarantee the quality of its own signal and produce little interference to other cells. By building a system simulation platform for system-level simulation, the system performance of cell selection and reselection algorithm based on SINR queue is compared with that of traditional cell selection and reselection algorithm. The cell selection algorithm based on interference alignment is compared with the cell selection algorithm based on SINR queue. Simulation results show that both the proposed cell selection and reselection algorithm based on SINR queue and the cell selection algorithm based on interference alignment can expand the coverage of low-power nodes and enhance the priority of users to select low-power nodes. Moreover, in the aspect of system gain, SINR queue algorithm is very close to RE algorithm, and effectively avoids most of the problems existing in RE algorithm. For example, there is no uniform standard for bias values and the increase of bias makes the SINR of users in the low power node coverage area worse. The performance gain of the cell selection algorithm based on interference alignment is about 45% higher than that of the cell selection algorithm based on SINR queue. The cell selection algorithm based on SINR queue and the cell selection algorithm based on interference alignment are combined with the corresponding inter-cell interference coordination technology to improve the system throughput and the cell edge user throughput.
【學位授予單位】：西安郵電大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN929.5
本文編號：2259967
[Abstract]:LTE, as a phase change after the third generation mobile communication, takes OFDM and MIMO as the core technology of its wireless network evolution. In order to realize the specification of IMT-Advanced by ITU, 3GPP has opened the evolution process of backward compatibility to LTE, such as carrier aggregation, cooperative multipoint transmission and enhanced inter-cell interference coordination, which are collectively called LTE-A.. The successful selection and residence of a serving cell by a mobile terminal is a prerequisite for a cellular mobile communication network to provide a service to the end user. Therefore, cell selection and reselection are very important to communication system. In September 2009, 3GPP proposed heterogeneous network technology in the process of LTE-A standardization. Since then, LTE-A heterogeneous network has become a research hotspot at present. Because the transmission power of the low power node introduced in the heterogeneous network is much lower than that of the base station, the coverage area of the low power node is very small and the number of users who choose the low power node is very small, so the cell splitting gain can not be maximized. With the goal of extending the coverage of low power nodes and improving the priority of users to select low power nodes, in the research and discussion of 3GPP conference, some enhanced cell selection and reselection algorithms for LTE-A heterogeneous networks have been proposed one after another. The RE algorithm proposed by Qualcomm is the most studied and discussed algorithm. In order to expand the coverage area of low power nodes in LTE-A heterogeneous networks and enhance the priority of users to select low power nodes, the goal of low power nodes to divert traffic to Acer stations and improve network performance is finally realized. In this paper, two enhanced cell selection and reselection algorithms are proposed. These algorithms avoid the traditional cell selection and reselection algorithm to select the cell with the strongest reference signal received power as the serving cell, but choose a cell that can guarantee the quality of its own signal and produce little interference to other cells. By building a system simulation platform for system-level simulation, the system performance of cell selection and reselection algorithm based on SINR queue is compared with that of traditional cell selection and reselection algorithm. The cell selection algorithm based on interference alignment is compared with the cell selection algorithm based on SINR queue. Simulation results show that both the proposed cell selection and reselection algorithm based on SINR queue and the cell selection algorithm based on interference alignment can expand the coverage of low-power nodes and enhance the priority of users to select low-power nodes. Moreover, in the aspect of system gain, SINR queue algorithm is very close to RE algorithm, and effectively avoids most of the problems existing in RE algorithm. For example, there is no uniform standard for bias values and the increase of bias makes the SINR of users in the low power node coverage area worse. The performance gain of the cell selection algorithm based on interference alignment is about 45% higher than that of the cell selection algorithm based on SINR queue. The cell selection algorithm based on SINR queue and the cell selection algorithm based on interference alignment are combined with the corresponding inter-cell interference coordination technology to improve the system throughput and the cell edge user throughput.
【學位授予單位】：西安郵電大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN929.5
【參考文獻】
相關期刊論文 前3條
1 陳繼勛;李美艷;;LTE-A關鍵技術探討[J];廣東通信技術;2011年04期
2 陰亞芳;李鋒;;LTE小區(qū)選擇和重選的分析與研究[J];郵電設計技術;2013年08期
3 謝龍;張欣;曹亙;楊大成;;異構網(wǎng)絡增強型小區(qū)間干擾協(xié)調(diào)技術研究[J];移動通信;2012年10期
，本文編號：2259967
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