基于能效的LTE多小區(qū)無線資源分配算法研究
發(fā)布時間：2019-04-18 12:51
【摘要】：隨著無線移動通信的快速發(fā)展,用戶對高速率數(shù)據(jù)業(yè)務的需求越來越大。LTE網(wǎng)絡保障了視頻、游戲、多媒體社交等應用的良好用戶體驗,同時也帶來了巨大的能耗問題,這不僅造成了高額的運營成本,其帶來的環(huán)境問題也備受社會關(guān)注。本文主要圍繞LTE多小區(qū)系統(tǒng)的無線資源分配算法的能效問題,進行了深入研究,先分析了LTE資源分配的實體、接口和相關(guān)信令,明確了多小區(qū)資源分配的分布式模式,同時小區(qū)間可以通過X2標準接口交互資源分配信息。其次為了建立適合分析的數(shù)學模型,給出了資源的時域頻域不變性假設,梳理了資源分配可以依賴的測量信息。本文介紹了LTE無線資源分配算法的研究現(xiàn)狀,對多小區(qū)場景下以能效為目的的資源分配算法進行了重點分析�；谝陨戏治�,本文建立了以最大化系統(tǒng)能效為目的,同時保障用戶最小速率約束為前提的多小區(qū)子信道和功率聯(lián)合分配模型。該模型屬于最優(yōu)化理論混合式整數(shù)規(guī)劃問題,本文將其拆分成固定功率下的子信道分配問題和固定子信道分配下的功率控制問題。在固定功率下的子信道分配問題中,本文設計了三個有效的子信道分配和調(diào)整算法,包括以傳統(tǒng)的最大載干比算法為基礎,增加了對用戶最小速率要求的支持,設計了排序優(yōu)化的貪婪初始子信道分配算法(Sorted and Greedy Initial Subchannel Allocation,SGISA);定義了搬移、交換、替補這三種基本的子信道調(diào)整模式,在此基礎上設計了基于能效的子信道調(diào)整算法(Energy-efficiency based Subchannel Adaption,ESA-1和ESA-2)。仿真驗證了本文設計的分配算法可以達到子信道分配最優(yōu)能效的95%,同時驗證了這種優(yōu)良的性能并不隨用戶最小速率約束和小區(qū)用戶數(shù)而改變。關(guān)于固定子信道分配的LTE多小區(qū)網(wǎng)絡功率控制問題,本文設計了一種采用干擾協(xié)調(diào)技術(shù)的基于完全信息靜態(tài)非合作博弈論的數(shù)學模型,并證明了該博弈模型中納什均衡點的存在性�；贚TE基站間的X2接口,本文設計了一種迭代的啟發(fā)式算法——多小區(qū)干擾協(xié)調(diào)功率控制算法(Multi-cell Interference Coordinated Power Control,MICPC)來搜索上述博弈模型的納什均衡點。仿真證明了該算法良好的收斂性,同時驗證了采用干擾協(xié)調(diào)技術(shù)的多小區(qū)算法相比于單小區(qū)算法的優(yōu)越性,在強干擾環(huán)境下這種優(yōu)勢更加明顯�；谝陨涎芯�,本文以最大化系統(tǒng)能效為目的,以保障用戶最小速率要求為前提,設計了子信道分配和功率控制兩個階段迭代執(zhí)行的LTE多小區(qū)無線資源分配算法(Multi-cell Energy-Efficiency Resource Allocaion,MEERA),該算法每個階段中在已經(jīng)達到的能效基礎上,進一步優(yōu)化系統(tǒng)總能效,直至收斂。仿真證明了這種迭代算法良好的收斂性,同時驗證了聯(lián)合分配算法的優(yōu)異性能。
[Abstract]:With the rapid development of wireless mobile communication, users need more and more high-speed data services. LTE network guarantees a good user experience for applications such as video, game, multimedia social, and at the same time brings huge energy consumption problems. This not only causes high operating costs, but also brings environmental problems to the attention of the society. This paper mainly focuses on the energy efficiency of wireless resource allocation algorithm in LTE multi-cell system. Firstly, the entities, interfaces and related signaling of LTE resource allocation are analyzed, and the distributed mode of multi-cell resource allocation is defined. At the same time, cell can exchange resource allocation information through X2 standard interface. Secondly, in order to establish a mathematical model suitable for analysis, the time-domain and frequency-domain invariance hypothesis of resources is given, and the measurement information that resource allocation can rely on is combed. In this paper, the research status of LTE wireless resource allocation algorithm is introduced, and the energy efficiency-oriented resource allocation algorithm in multi-cell scenario is analyzed emphatically. Based on the above analysis, a multi-region sub-channel and power joint allocation model is proposed in this paper, which aims at maximizing the energy efficiency of the system and guarantees the minimum rate constraint of users at the same time. This model belongs to the optimization theory mixed integer programming problem. In this paper, it is divided into the fixed power sub-channel assignment problem and the fixed sub-channel allocation power control problem. In the sub-channel allocation problem with fixed power, this paper designs three effective sub-channel allocation and adjustment algorithms, including the traditional maximum carrier-to-interference ratio algorithm, which increases the support for the minimum rate requirements of users. A greedy initial sub-channel allocation algorithm (Sorted and Greedy Initial Subchannel Allocation,SGISA) is designed for scheduling optimization. This paper defines three basic subchannel adjustment modes: shift switching and replacement. Based on this the energy efficiency-based sub-channel adjustment algorithms (Energy-efficiency based Subchannel Adaption,ESA-1 and ESA-2) are designed. The simulation results show that the proposed allocation algorithm can achieve 95% of the optimal energy efficiency of sub-channel allocation, and that the excellent performance does not change with the minimum user rate constraint and the number of cell users. Regarding the power control problem of LTE multi-cell network with fixed sub-channel assignment, a mathematical model based on static and non-cooperative game theory of complete information is designed in this paper, which adopts interference coordination technology. The existence of Nash equilibrium points in the game model is proved. Based on the X2 interface between LTE base stations, an iterative heuristic algorithm, multi-cell interference coordinated power control (Multi-cell Interference Coordinated Power Control,MICPC), is designed to search for Nash equilibrium points of the above game model. The simulation results show that the proposed algorithm has good convergence and that the multi-cell algorithm using interference coordination technique is superior to the single-cell algorithm, and this advantage is more obvious in the strong interference environment. Based on the above research, the purpose of this paper is to maximize the energy efficiency of the system and to guarantee the minimum rate requirements of users. An iterative LTE multi-cell radio resource allocation algorithm (Multi-cell Energy-Efficiency Resource Allocaion,MEERA) for sub-channel allocation and power control is designed. The algorithm is based on the energy efficiency achieved in each phase. Further optimize the overall system energy efficiency until convergence. The simulation results show that the iterative algorithm has good convergence and the excellent performance of the joint allocation algorithm is verified at the same time.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN929.5
，
本文編號：2460055
[Abstract]:With the rapid development of wireless mobile communication, users need more and more high-speed data services. LTE network guarantees a good user experience for applications such as video, game, multimedia social, and at the same time brings huge energy consumption problems. This not only causes high operating costs, but also brings environmental problems to the attention of the society. This paper mainly focuses on the energy efficiency of wireless resource allocation algorithm in LTE multi-cell system. Firstly, the entities, interfaces and related signaling of LTE resource allocation are analyzed, and the distributed mode of multi-cell resource allocation is defined. At the same time, cell can exchange resource allocation information through X2 standard interface. Secondly, in order to establish a mathematical model suitable for analysis, the time-domain and frequency-domain invariance hypothesis of resources is given, and the measurement information that resource allocation can rely on is combed. In this paper, the research status of LTE wireless resource allocation algorithm is introduced, and the energy efficiency-oriented resource allocation algorithm in multi-cell scenario is analyzed emphatically. Based on the above analysis, a multi-region sub-channel and power joint allocation model is proposed in this paper, which aims at maximizing the energy efficiency of the system and guarantees the minimum rate constraint of users at the same time. This model belongs to the optimization theory mixed integer programming problem. In this paper, it is divided into the fixed power sub-channel assignment problem and the fixed sub-channel allocation power control problem. In the sub-channel allocation problem with fixed power, this paper designs three effective sub-channel allocation and adjustment algorithms, including the traditional maximum carrier-to-interference ratio algorithm, which increases the support for the minimum rate requirements of users. A greedy initial sub-channel allocation algorithm (Sorted and Greedy Initial Subchannel Allocation,SGISA) is designed for scheduling optimization. This paper defines three basic subchannel adjustment modes: shift switching and replacement. Based on this the energy efficiency-based sub-channel adjustment algorithms (Energy-efficiency based Subchannel Adaption,ESA-1 and ESA-2) are designed. The simulation results show that the proposed allocation algorithm can achieve 95% of the optimal energy efficiency of sub-channel allocation, and that the excellent performance does not change with the minimum user rate constraint and the number of cell users. Regarding the power control problem of LTE multi-cell network with fixed sub-channel assignment, a mathematical model based on static and non-cooperative game theory of complete information is designed in this paper, which adopts interference coordination technology. The existence of Nash equilibrium points in the game model is proved. Based on the X2 interface between LTE base stations, an iterative heuristic algorithm, multi-cell interference coordinated power control (Multi-cell Interference Coordinated Power Control,MICPC), is designed to search for Nash equilibrium points of the above game model. The simulation results show that the proposed algorithm has good convergence and that the multi-cell algorithm using interference coordination technique is superior to the single-cell algorithm, and this advantage is more obvious in the strong interference environment. Based on the above research, the purpose of this paper is to maximize the energy efficiency of the system and to guarantee the minimum rate requirements of users. An iterative LTE multi-cell radio resource allocation algorithm (Multi-cell Energy-Efficiency Resource Allocaion,MEERA) for sub-channel allocation and power control is designed. The algorithm is based on the energy efficiency achieved in each phase. Further optimize the overall system energy efficiency until convergence. The simulation results show that the iterative algorithm has good convergence and the excellent performance of the joint allocation algorithm is verified at the same time.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN929.5
，
本文編號：2460055
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