【摘要】：基于LTE(Long Term Evolution)的衛(wèi)星移動通信系統(tǒng)將LTE標準和技術引入到衛(wèi)星通信中,能有效利用LTE系統(tǒng)技術成熟、速率高、成本低和衛(wèi)星通信覆蓋范圍廣、抗毀性強等優(yōu)勢,在實現(xiàn)全球高速移動通信方面受到了世界各國的廣泛重視。然而,與地面移動通信所處的無線鏈路環(huán)境不同,星地鏈路存在的長傳輸時延、高誤碼率和上下行帶寬非對稱等問題,對基于LTE的衛(wèi)星移動通信系統(tǒng)中的無線資源調度提出了極大挑戰(zhàn)。本文對基于LTE的衛(wèi)星移動通信系統(tǒng)中的無線資源調度技術進行了深入研究,主要工作如下:第一、對基于LTE的衛(wèi)星移動通信系統(tǒng)中語音業(yè)務的資源調度進行了研究。在對現(xiàn)有半持續(xù)調度(Semi-Persistent Scheduling,SPS)進行優(yōu)化的基礎上,提出了一種面向語音業(yè)務的半持續(xù)調度方法Vo SPS(Voice services oriented Semi-Persistent Scheduling approach)。針對用戶信道質量惡化時的上行資源浪費問題,Vo SPS中增加了一種基于上行信道質量的準入與截斷機制UACM(Uplink channel quality based Admission and Cut-off Mechanism)。為了充分利用系統(tǒng)上行資源,增加語音業(yè)務容量,Vo SPS中引入了一種基于語音服務滿意度的編碼速率調整算法SCRA(voice service Satisfaction based Code Rate Adjustment algorithm)。仿真結果表明,Vo SPS能有效地提高系統(tǒng)的用戶滿意度,增加系統(tǒng)的語音業(yè)務容量。第二、對基于LTE的衛(wèi)星移動通信系統(tǒng)的上行資源調度進行研究,提出了一種基于緩存狀態(tài)預測的調度方法BSP(Buffer Status Prediction based scheduling approach)。BSP包括緩存狀態(tài)預測上報機制BSPR(Buffer Status Prediction and Reporting mechanism)和基于緩存狀態(tài)的比例公平調度算法BSPF(Buffer Status based Proportional Fairness scheduling algorithm)。針對星地鏈路傳輸時延遠長于LTE資源調度周期的問題,BSPR機制根據(jù)上行業(yè)務的流量特性,對用戶設備(User Equipment,UE)的緩存狀態(tài)進行預測上報,使演進型基站(evolved Node B,e NB)能夠更加合理地分配無線資源。BSPF調度算法在現(xiàn)有比例公平(Proportional Fairness,PF)調度算法的基礎上,增加UE的緩存狀態(tài)作為調度判決參數(shù),考慮了業(yè)務的服務質量(Quality of Service,Qo S)等級和數(shù)據(jù)流量大小。仿真結果表明,BSP調度方法能夠有效地提高系統(tǒng)的資源利用率,更好地滿足具有高Qo S等級和大數(shù)據(jù)流量業(yè)務的吞吐量需求。
[Abstract]:The satellite mobile communication system based on LTE (Long Term Evolution) introduces the LTE standard and technology into the satellite communication, which can effectively utilize the advantages of the LTE system technology maturity, high speed, low cost, wide coverage of satellite communication, strong invulnerability and so on. In the realization of global high-speed mobile communication has been widely paid attention to all over the world. However, different from the wireless link environment of terrestrial mobile communication, there are many problems such as long transmission delay, high bit error rate and asymmetric uplink and downlink bandwidth. This paper presents a great challenge to wireless resource scheduling in satellite mobile communication systems based on LTE. In this paper, the wireless resource scheduling technology in the satellite mobile communication system based on LTE is deeply studied. The main work is as follows: first, the resource scheduling of voice services in the satellite mobile communication system based on LTE is studied. Based on the optimization of the existing semi-persistent scheduling (Semi-Persistent Scheduling,SPS), a speech service-oriented semi-persistent scheduling method, Vo SPS (Voice services oriented Semi-Persistent Scheduling approach)., is proposed. In order to solve the problem of uplink resource waste when user channel quality is deteriorating, a new access and truncation mechanism UACM (Uplink channel quality based Admission and Cut-off Mechanism). Based on uplink channel quality is added to Vo SPS. In order to make full use of the uplink resources of the system, a coding rate adjustment algorithm SCRA (voice service Satisfaction based Code Rate Adjustment algorithm). Based on voice service satisfaction is introduced into Vo SPS to increase voice service capacity. The simulation results show that Vo SPS can effectively improve the user satisfaction of the system and increase the voice service capacity of the system. Secondly, the uplink resource scheduling of satellite mobile communication system based on LTE is studied. A scheduling method based on cache state prediction (BSP (Buffer Status Prediction based scheduling approach). BSP) is proposed in this paper, which includes cache state prediction and report mechanism (BSPR (Buffer Status Prediction and Reporting mechanism) and proportional fair scheduling algorithm (BSPF (Buffer Status based Proportional Fairness scheduling algorithm).) based on cache state. In order to solve the problem that the delay of satellite-ground link transmission is longer than that of LTE resource scheduling period, the mechanism predicts and reports the buffer state of user equipment (User Equipment,UE) according to the traffic characteristics of uplink services. So that the evolutionary base station (evolved Node be NB can allocate the wireless resource more reasonably. On the basis of the existing proportional fairness (Proportional Fairness,PF) scheduling algorithm, the buffer state of UE is added as the scheduling decision parameter. Quality of Service (Quality of Service,Qo S) and data traffic are considered. The simulation results show that the scheduling method can effectively improve the resource utilization of the system and better meet the throughput requirements of high Qo S level and big data traffic services.
【學位授予單位】：國防科學技術大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN927.23

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