本文關(guān)鍵詞：LTE系統(tǒng)干擾管理研究　出處：《北京交通大學(xué)》2014年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： LTE 干擾協(xié)調(diào) 干擾消除 干擾指標(biāo)優(yōu)化

【摘要】：隨著無(wú)線通信技術(shù)的高速發(fā)展,用戶希望通信網(wǎng)絡(luò)在保持移動(dòng)性與覆蓋性的同時(shí),實(shí)現(xiàn)低速場(chǎng)景下的高速數(shù)據(jù)接入業(yè)務(wù)。長(zhǎng)期演進(jìn)(Long Term Evolution, LTE)系統(tǒng)支持多種帶寬,可以滿足不同業(yè)務(wù)的速率要求；重視用戶數(shù)據(jù)業(yè)務(wù)體驗(yàn),相比傳統(tǒng)網(wǎng)絡(luò)可以提供更高的峰值速率和用戶吞吐量；增加小區(qū)邊界傳輸速率,保障用戶在任何時(shí)間任何地點(diǎn)的數(shù)據(jù)業(yè)務(wù)有效接入。LTE網(wǎng)絡(luò)的這些技術(shù)特性,契合了用戶對(duì)于數(shù)據(jù)業(yè)務(wù)的需求,具有良好的應(yīng)用前景。在提供高質(zhì)量數(shù)據(jù)傳輸業(yè)務(wù)的同時(shí),LTE網(wǎng)絡(luò)也對(duì)頻譜效率提出了更高的要求,但是頻率資源復(fù)用而產(chǎn)生的網(wǎng)絡(luò)干擾會(huì)成為限制系統(tǒng)性能的重要因素。干擾管理可以在保證頻譜效率的同時(shí),通過(guò)系統(tǒng)級(jí)頻率規(guī)劃和鏈路級(jí)信號(hào)處理技術(shù),提高網(wǎng)絡(luò)與用戶的通信質(zhì)量,使其成為近幾年的研究熱點(diǎn)。本文以LTE系統(tǒng)為背景,重點(diǎn)研究了干擾協(xié)調(diào)技術(shù)、干擾消除技術(shù),并對(duì)LTE網(wǎng)絡(luò)的干擾來(lái)源、干擾特點(diǎn)以及干擾指標(biāo)進(jìn)行了分析和優(yōu)化。論文的主要研究?jī)?nèi)容與創(chuàng)新點(diǎn)如下： (1)針對(duì)中心用戶性能未受到額外關(guān)注的問(wèn)題,提出了一種新的部分頻率復(fù)用結(jié)構(gòu),進(jìn)一步降低了產(chǎn)生同頻干擾的概率。該結(jié)構(gòu)在保證小區(qū)邊緣用戶資源正交的前提下,將小區(qū)中心用戶的資源分為專用頻段與共用頻段兩部分,并為專用頻段設(shè)置更高的優(yōu)先級(jí)。相比傳統(tǒng)分配算法,該結(jié)構(gòu)在注重邊緣用戶性能的同時(shí),也重視中心用戶的體驗(yàn)。中心用戶在使用專用頻段時(shí),享有更高的發(fā)射功率,提高了有用信號(hào)占比；同時(shí),邊緣用戶的干擾來(lái)源減少,降低了受到同頻干擾影響的幾率。在確定資源分配策略后,分別對(duì)中心用戶和邊緣用戶的信道容量、系統(tǒng)吞吐量、中斷概率以及干擾矯正因子四個(gè)參數(shù)進(jìn)行定量分析。 (2)針對(duì)中心用戶與邊緣用戶資源占用比例不均衡的問(wèn)題,在部分頻率復(fù)用結(jié)構(gòu)基礎(chǔ)上,提出了一種自適應(yīng)資源調(diào)整算法。通過(guò)對(duì)已分配資源的動(dòng)態(tài)調(diào)整,使得中心用戶與邊緣用戶的資源比例更適合實(shí)際通信環(huán)境,或在突發(fā)狀況發(fā)生時(shí)實(shí)現(xiàn)不同的資源分配側(cè)重。資源的調(diào)整比例根據(jù)用戶受到的干擾情況而設(shè)定,系統(tǒng)可以利用權(quán)重因子調(diào)節(jié)動(dòng)態(tài)資源的最大比例或決定是否采用動(dòng)態(tài)策略。在兩種部分頻率復(fù)用結(jié)構(gòu)中分析了提出的算法,并對(duì)比了兩種結(jié)構(gòu)中算法實(shí)現(xiàn)的差異性。仿真結(jié)果從吞吐量、用戶信道狀況、誤碼率等角度對(duì)算法性能進(jìn)行了評(píng)估。 (3)針對(duì)系統(tǒng)對(duì)于干擾消除技術(shù)計(jì)算復(fù)雜度的顧慮,提出了一種上行鏈路接收端執(zhí)行的干擾消除算法。接收機(jī)通過(guò)重構(gòu)和移除干擾信號(hào),使更新后的原始接收信號(hào)只包括有用信號(hào)與噪聲。算法在對(duì)計(jì)算復(fù)雜度和成本不敏感的基站一側(cè)執(zhí)行,不會(huì)給用戶終端帶來(lái)額外的開(kāi)銷(xiāo)。同時(shí),在信道狀態(tài)未知的情況下,算法利用訓(xùn)練序列的傳輸結(jié)果和插值方法完成數(shù)據(jù)信號(hào)的信道估計(jì),更具實(shí)際應(yīng)用價(jià)值。仿真結(jié)果驗(yàn)證了提出的干擾消除算法在不同載波分配方式下的有效性,并分析了不同通信場(chǎng)景中的算法特性。 (4)在分析LTE網(wǎng)絡(luò)干擾來(lái)源的基礎(chǔ)上,對(duì)干擾指標(biāo)中的信干噪比參數(shù)進(jìn)行了深入研究。從用戶角度出發(fā),建立了權(quán)衡吞吐量利用率和用戶花費(fèi)的效用函數(shù),設(shè)立兼顧性能體驗(yàn)和網(wǎng)絡(luò)開(kāi)銷(xiāo)兩方面影響的優(yōu)化目標(biāo),引導(dǎo)用戶在兩者間理性權(quán)衡自身需求。通過(guò)建立效用函數(shù)的微分博弈模型,利用微分博弈算法求解時(shí)間連續(xù)型效用函數(shù)的最優(yōu)解,得到用戶權(quán)衡通信質(zhì)量與開(kāi)銷(xiāo)后的信干噪比決策。利用仿真討論了算法在不同干擾場(chǎng)景中的性能表現(xiàn),闡釋了造成算法性能差異的原因。
[Abstract]:With the rapid development of wireless communication technology, users want to keep communication network in mobility and coverage at the same time, the realization of high speed data access speed scenarios. The long-term evolution (Long Term Evolution, LTE) system to support a variety of bandwidth, can meet the different rate of business requirements; pay attention to the user experience of data services, compared with the traditional network can provide the peak rate and throughput is higher; increase the transmission rate of the cell boundary, the characteristics of technology to protect the user at any time and place the data business effective access.LTE network, fit the user demand for data services, has the good application prospect in providing high quality data transmission business at the same time, LTE network is also proposed higher requirements for spectrum efficiency, but the network interference caused by frequency reuse will become an important factor restricting the performance of the system . interference management can guarantee the spectral efficiency at the same time, the system level and link level frequency planning and signal processing technology, improve the quality of communication network and the user, make it become a research hotspot in recent years. Based on the background of LTE system, focus on the interference coordination technology, interference cancellation, and interference source of LTE network, interference characteristics and interference parameters were analyzed and optimized. The main research contents and innovations are as follows:
(1) the center has not received extra attention to user performance problems, and proposed a new partial frequency reuse structure, further reducing the probability to produce the same frequency interference. The structure in the premise of ensuring the user resources under the orthogonal edge area, the cell center users resources is divided into two parts with special frequency band sharing frequency band. And set a higher priority for the special frequency band. Compared with the traditional algorithm, the structure on the edge user performance at the same time, the center also attaches great importance to the user experience center. Users in the use of special bands, enjoy a higher rate of transmission power, improve the proportion of useful signals; at the same time, reduce the interference of edge users. Reduces the chances of being the same frequency interference effect. In determining the resource allocation strategy, the channel capacity of center users and edge users respectively, system throughput, outage probability and interference correction factor four The parameters are analyzed quantitatively.
(2) for center users and user resources edge occupies the proportion of balance problem. Based on the structure of partial frequency reuse, we propose an adaptive resource adjustment algorithm. Through the dynamic adjustment of the allocated resources, the center users and edge users the proportion of resources is more suitable for the actual communication environment, or the allocation of resources to achieve different in the emergency situation occurs on. Adjust the proportion of resources and set according to the interference by the user, whether the system can adjust the dynamic resource utilization factor is the largest proportion of weight or decided to adopt a dynamic strategy. In the two part frequency reuse structure is analyzed in the proposed algorithm, and the comparison between algorithms of the two structures. Simulation results from user channel conditions, throughput, bit error rate angle to evaluate the performance of the proposed algorithm.
(3) the system for interference elimination in computational complexity concerns, proposes an uplink interference receiver implementation of the algorithm. The receiver through the reconstruction and remove the interference signal, so that the original received signal after the update includes only the useful signal and noise. The algorithm is not sensitive to the complexity and cost of the implementation of the base station side that will not bring additional overhead to the user terminal. At the same time, in the case of unknown channel state, channel transmission results algorithm using training sequence and interpolation method to complete the data signal estimation, more practical value. The simulation results verify the effectiveness of the proposed interference cancellation algorithm in different carrier allocation mode, and analysis the algorithm characteristics of different communication scenarios.
(4) based on the analysis of LTE network interference source, interference index in SNR is studied. Parameters from the user perspective, establishes the utility function balance throughput utilization and cost of the user, the establishment of both optimization goal influence performance of the two aspects of experience and network overhead, to guide the user in the rationality of balancing their needs. Through the establishment of differential game model of the utility function, the optimal time by solving differential game algorithm of continuous utility function solutions, users get the balance between communication quality and cost after SINR decision. Using simulation algorithm is discussed in the performance of different interference scenarios, causes performance difference algorithm the explanation.

【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN929.5

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相關(guān)期刊論文 前2條

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本文編號(hào)：1432868