LTE-U系統(tǒng)的容量分析和用戶駐留研究
發(fā)布時(shí)間：2019-07-07 07:23
【摘要】：近年來(lái),隨著移動(dòng)智能設(shè)備的飛速發(fā)展,無(wú)線用戶數(shù)量呈指數(shù)倍增長(zhǎng),人們對(duì)無(wú)線通信的需求也不斷增大,有限的許可頻段資源已經(jīng)越來(lái)越無(wú)法滿足人們的需求。在這種狀況下,有人提出將LTE(Long Term Evolution Unlicensed)技術(shù)應(yīng)用于免許可頻段,即免許可頻段LTE(Long Term Evolution Unlicensed,LTE-U)技術(shù)。通過(guò)利用LTE技術(shù)的優(yōu)勢(shì)提高免許可頻段的頻譜利用率,以此來(lái)分擔(dān)許可頻段的壓力。本文對(duì)LTE-U網(wǎng)絡(luò)的容量和用戶駐留進(jìn)行了深入研究。首先,研究了 LTE-U網(wǎng)絡(luò)在支持時(shí)延敏感業(yè)務(wù)時(shí)的網(wǎng)絡(luò)容量。我們用離散馬爾科夫鏈來(lái)對(duì)采用輪詢調(diào)度策略的LTE-U系統(tǒng)的傳輸機(jī)會(huì)進(jìn)行建模,通過(guò)概率生成函數(shù)和泊松網(wǎng)格算法計(jì)算得到馬爾科夫鏈的狀態(tài)轉(zhuǎn)移概率�；跁r(shí)延敏感業(yè)務(wù)的兩個(gè)服務(wù)質(zhì)量(Quality of Service,QoS)要求——最大容忍時(shí)延和丟包率門限,得到LTE-U網(wǎng)絡(luò)在支持時(shí)延敏感業(yè)務(wù)時(shí)的網(wǎng)絡(luò)容量。仿真結(jié)果表明我們所提出的分析模型不僅可以有效評(píng)估LTE-U網(wǎng)絡(luò)與不同負(fù)載的Wi-Fi(Wireless Fidelity)網(wǎng)絡(luò)共存時(shí)的網(wǎng)絡(luò)容量,而且也揭示了其網(wǎng)絡(luò)容量與時(shí)延敏感業(yè)務(wù)的兩個(gè)QoS指標(biāo)要求之間的關(guān)系。其次,研究了多信道場(chǎng)景中采用信道綁定技術(shù)的LTE-U網(wǎng)絡(luò)的性能。以吞吐量為性能指標(biāo),我們提出了一種將主信道和輔信道分開(kāi)獨(dú)立建模的分析方法。該分析方法根據(jù)信道被占用的情況將信道分為四種狀態(tài),利用不同狀態(tài)出現(xiàn)的概率以及持續(xù)時(shí)間求出不同狀態(tài)的時(shí)間占比,從而分別得到LTE-U網(wǎng)絡(luò)和Wi-Fi網(wǎng)絡(luò)的吞吐量。仿真結(jié)果不僅表明該分析方法的有效性,而且還揭示了 LTE-U網(wǎng)絡(luò)吞吐量與主輔信道上Wi-Fi網(wǎng)絡(luò)負(fù)載之間的關(guān)系。最后,研究了 LTE-U獨(dú)立系統(tǒng)的用戶駐留流程及小區(qū)選擇準(zhǔn)則。為了緩解LTE小區(qū)的壓力,我們提出了讓用戶優(yōu)先駐留LTE-U小區(qū)的思想,即通過(guò)讓用戶優(yōu)先搜索LTE-U小區(qū)來(lái)提高LTE-U小區(qū)的優(yōu)先級(jí)。在搜索LTE-U小區(qū)和同步過(guò)程中,為了避免用戶因?yàn)長(zhǎng)TE-U小區(qū)的信道非連續(xù)可用而延長(zhǎng)其完成駐留的時(shí)間,我們使用了一個(gè)基于LTE-U小區(qū)相鄰兩次接入信道的平均時(shí)間間隔的同步計(jì)時(shí)器。另外,我們提出了一種新的小區(qū)選擇準(zhǔn)則——在考慮小區(qū)參考信號(hào)接收功率強(qiáng)度的同時(shí)結(jié)合LTE-U獨(dú)立系統(tǒng)基站相鄰兩次接入信道的平均時(shí)間間隔,通過(guò)計(jì)算剩余有效容量和剩余吞吐量來(lái)進(jìn)行小區(qū)選擇。此外,該準(zhǔn)則從用戶側(cè)出發(fā),在用戶的歷史業(yè)務(wù)數(shù)據(jù)中挖掘出對(duì)小區(qū)選擇有用的信息,從而使用戶能夠做出更加合適的小區(qū)選擇決策,提高用戶成功發(fā)起業(yè)務(wù)的概率,降低用戶小區(qū)重選的頻率以及小區(qū)重選所帶來(lái)的資源消耗。
文內(nèi)圖片：
圖片說(shuō)明：圖１．１邋ＬＴＥ－Ｕ系統(tǒng)逡逑１．２國(guó)內(nèi)外研究現(xiàn)狀逡逑
[Abstract]:In recent years, with the rapid development of mobile intelligent devices, the number of wireless users is exponential growth, the demand for wireless communication is also increasing, the limited licensed frequency band resources have become more and more unable to meet the needs of people. In this case, some people propose to apply LTE (Long Term Evolution Unlicensed) technology to license-free frequency band, that is, license-free frequency band LTE (Long Term Evolution Unlicensed,LTE-U) technology. By making use of the advantages of LTE technology to improve the spectrum efficiency of the licensed frequency band, so as to share the pressure of the licensed frequency band. In this paper, the capacity and user residence of LTE-U network are deeply studied. Firstly, the network capacity of LTE-U network when supporting delay-sensitive traffic is studied. We use discrete Markov chain to model the transmission opportunity of LTE-U system with polling scheduling strategy, and calculate the state transition probability of Markov chain by probability generation function and Poisson grid algorithm. Based on the two quality of service (Quality of Service,QoS) requirements of delay-sensitive services, the maximum tolerance delay and packet loss rate threshold are obtained, and the network capacity of LTE-U networks supporting delay-sensitive services is obtained. The simulation results show that the proposed analysis model can not only effectively evaluate the network capacity of LTE-U network and Wi-Fi (Wireless Fidelity) network with different loads, but also reveal the relationship between the network capacity and the two QoS index requirements of delay-sensitive traffic. Secondly, the performance of LTE-U network using channel binding technology in multi-channel scenario is studied. Taking throughput as the performance index, we propose an analysis method to separate the primary channel from the auxiliary channel. According to the occupation of the channel, the channel is divided into four states. The time ratio of different states is calculated by using the probability and duration of different states, and the throughput of LTE-U network and Wi-Fi network are obtained respectively. The simulation results not only show the effectiveness of the analysis method, but also reveal the relationship between LTE-U network throughput and Wi-Fi network load on primary and secondary channels. Finally, the user residence process and cell selection criteria of LTE-U independent system are studied. In order to relieve the pressure of LTE cell, we put forward the idea of letting users stay in LTE-U cell first, that is, to improve the priority of LTE-U cell by letting users search LTE-U cell first. In the process of searching LTE-U cells and synchronizing, in order to prevent users from prolonging their residence time because the channels of LTE-U cells are not continuously available, we use a synchronization timer based on the average time interval of two adjacent access channels in LTE-U cells. In addition, we propose a new cell selection criterion, which takes into account the received power intensity of the cell reference signal and combines the average time interval of the adjacent two access channels of the base station of the LTE-U independent system to select the cell by calculating the remaining effective capacity and residual throughput. In addition, the criterion excavates useful information for cell selection from the user's historical service data, so that the user can make more suitable cell selection decision, improve the probability of the user successfully initiating the service, reduce the frequency of the user cell reselection and the resource consumption caused by the cell reselection. the user can make a more suitable cell selection decision, improve the probability of the user successfully initiating the service, and reduce the frequency of the user cell reselection and the resource consumption caused by the cell reselection.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN929.5
本文編號(hào)：2511365
文內(nèi)圖片：
圖片說(shuō)明：圖１．１邋ＬＴＥ－Ｕ系統(tǒng)逡逑１．２國(guó)內(nèi)外研究現(xiàn)狀逡逑
[Abstract]:In recent years, with the rapid development of mobile intelligent devices, the number of wireless users is exponential growth, the demand for wireless communication is also increasing, the limited licensed frequency band resources have become more and more unable to meet the needs of people. In this case, some people propose to apply LTE (Long Term Evolution Unlicensed) technology to license-free frequency band, that is, license-free frequency band LTE (Long Term Evolution Unlicensed,LTE-U) technology. By making use of the advantages of LTE technology to improve the spectrum efficiency of the licensed frequency band, so as to share the pressure of the licensed frequency band. In this paper, the capacity and user residence of LTE-U network are deeply studied. Firstly, the network capacity of LTE-U network when supporting delay-sensitive traffic is studied. We use discrete Markov chain to model the transmission opportunity of LTE-U system with polling scheduling strategy, and calculate the state transition probability of Markov chain by probability generation function and Poisson grid algorithm. Based on the two quality of service (Quality of Service,QoS) requirements of delay-sensitive services, the maximum tolerance delay and packet loss rate threshold are obtained, and the network capacity of LTE-U networks supporting delay-sensitive services is obtained. The simulation results show that the proposed analysis model can not only effectively evaluate the network capacity of LTE-U network and Wi-Fi (Wireless Fidelity) network with different loads, but also reveal the relationship between the network capacity and the two QoS index requirements of delay-sensitive traffic. Secondly, the performance of LTE-U network using channel binding technology in multi-channel scenario is studied. Taking throughput as the performance index, we propose an analysis method to separate the primary channel from the auxiliary channel. According to the occupation of the channel, the channel is divided into four states. The time ratio of different states is calculated by using the probability and duration of different states, and the throughput of LTE-U network and Wi-Fi network are obtained respectively. The simulation results not only show the effectiveness of the analysis method, but also reveal the relationship between LTE-U network throughput and Wi-Fi network load on primary and secondary channels. Finally, the user residence process and cell selection criteria of LTE-U independent system are studied. In order to relieve the pressure of LTE cell, we put forward the idea of letting users stay in LTE-U cell first, that is, to improve the priority of LTE-U cell by letting users search LTE-U cell first. In the process of searching LTE-U cells and synchronizing, in order to prevent users from prolonging their residence time because the channels of LTE-U cells are not continuously available, we use a synchronization timer based on the average time interval of two adjacent access channels in LTE-U cells. In addition, we propose a new cell selection criterion, which takes into account the received power intensity of the cell reference signal and combines the average time interval of the adjacent two access channels of the base station of the LTE-U independent system to select the cell by calculating the remaining effective capacity and residual throughput. In addition, the criterion excavates useful information for cell selection from the user's historical service data, so that the user can make more suitable cell selection decision, improve the probability of the user successfully initiating the service, reduce the frequency of the user cell reselection and the resource consumption caused by the cell reselection. the user can make a more suitable cell selection decision, improve the probability of the user successfully initiating the service, and reduce the frequency of the user cell reselection and the resource consumption caused by the cell reselection.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN929.5
【參考文獻(xiàn)】
相關(guān)期刊論文 前2條
1 彭麗;張純波;;LTE-U技術(shù)及發(fā)展淺析[J];數(shù)據(jù)通信;2016年01期
2 孫波;鐘征斌;;非授權(quán)載波上的黑馬——LTE-U[J];硅谷;2014年16期
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