本文選題：干擾管理 + 博弈論��； 參考：《電子科技大學》2016年博士論文

【摘要】：隨著基于IP(Internet Protocol)的下一代無線通信業(yè)務的迅速發(fā)展,無線網絡的容量及基站之間連接的骨干網絡業(yè)務調度和路由面臨新的挑戰(zhàn)。隨著學術界和產業(yè)界的嚴密關注,在4G(4th generation)無線網絡中對無線物理層進行了一系列的資源整合以提高資源利用率,如OFDMA(orthogonal frequency division multiple access),基站協(xié)作多點技術(Co MP,coordinated multi-point),CA(carrier aggregation)等。通過資源整合可以大幅度提升網絡容量,增強小區(qū)邊緣覆蓋,但與此同時也給干擾管理帶來了一系列新的重要挑戰(zhàn)。因此,下一代無線網絡里干擾協(xié)調技術呈現(xiàn)出新的內容,如基站多點協(xié)作中的基站協(xié)作簇形成及用戶調度,基于OFDMA的基站發(fā)送功率分配等。另一方面,急劇增加的移動IP業(yè)務,尤其是5G(5th generation)無線網絡物理層提出采用mmwave,massive-MIMO(massive multiple-input multiple-output),超密集小區(qū)等方案進一步支持比4G高1000倍以上的無線數據速率后,從提升資源利用率和系統(tǒng)能效的角度出發(fā),如何在各種“大規(guī)�！辟Y源消耗之間進行折衷、并在基站之間實現(xiàn)具有時延受限功能的業(yè)務調度,路由及無線發(fā)送是下一代無線網絡所面臨的另一個挑戰(zhàn)。針對上述問題,本文結合下一代無線網絡中的基站多點協(xié)作等資源整合技術,首先研究其干擾情況并提出切實可行的干擾協(xié)調方案。接著,根據無線網絡物理層的實際傳輸能力,從系統(tǒng)能效的角度進一步提出了IP業(yè)務包在無線網絡中的業(yè)務調度及路由算法,所提算法具有能夠綁定數據流最大傳輸時延(worst-case delay)的特點。從無線網絡干擾管理的角度,我們提出了一套分布式基站多點協(xié)作簇的自適應動態(tài)形成機制,對無線通信環(huán)境的動態(tài)變化具有很強的自適應能力。同時,分布式的決策機制簡單且具有可擴展性。得到基站簇和用戶調度結果后,我們在小區(qū)內所有正交頻帶上執(zhí)行經典的WF(water-filling)功率分配算法得到基站在各頻帶上的功率分配策略空間。接著,我們采用納什非合作功率博弈方法對基站協(xié)作簇中的功率分配進行建模。通過納什博弈理論,我們證明了所提博弈模型具有唯一納什均衡點(NE,Nash Equilibrium),并給出了尋找唯一NE點的搜索算法。性能仿真表明,所提出的基站協(xié)作方案能大大提高系統(tǒng)容量,且其分布式的設計既簡單又具有可擴展性,因此具有很強的工程可實現(xiàn)性。盡管啟發(fā)式算法具有很高的工程價值,但從理論研究角度,實現(xiàn)系統(tǒng)容量最大化的傳輸調度及功率分配聯(lián)合最優(yōu)解對評估啟發(fā)式算法性能具有重要意義。然而該優(yōu)化問題是一個混合型優(yōu)化問題,現(xiàn)有的文獻中幾乎都是采用用戶調度-功率分配的兩步式啟發(fā)式求解。本文先提出了一種新穎的PFM機制(power-fractionizing mechanism)將離散變量的傳輸調度與連續(xù)變量的功率分配優(yōu)化問題統(tǒng)一到SP(signomial programming)優(yōu)化模型中�；趲缀我�(guī)劃優(yōu)化方法(GP,geometric programming)給出了這類聯(lián)合優(yōu)化問題的局部最優(yōu)解,并且從GP算法的經驗上,該局部最優(yōu)解往往就是全局最優(yōu)解。性能仿真結果也驗證了最優(yōu)化算法比啟發(fā)式算法具有性能上的優(yōu)越性與性能表現(xiàn)的穩(wěn)定性。在物理層資源整合的基礎上,如何在下一代無線網絡、尤其是5G中各種“大規(guī)模”資源消耗之間,以及有線路由與無線傳輸的時延之間進行高能效的折衷是新一代無線網絡所面臨的另一個挑戰(zhàn)�？紤]到下一代無線網絡,尤其是5G網絡內急劇增加的IP業(yè)務量,我們在基站間采用大容量WDM(wavelength division multiplexing)有線光交換,通過在網絡端點配置多個可調諧激光發(fā)射器(tunable lasers)實現(xiàn)基站同時發(fā)送多組IP業(yè)務包至不同小區(qū)。根據下一代無線網絡“大規(guī)模,多參數化”的特點,針對網絡能效,本文提出了“無線—有線—無線”一體化的系統(tǒng)能效聯(lián)合優(yōu)化目標。定義網絡最大允許時延為受限時延,則我們通過受限時延在有線和無線之間的分配以及有線與無線資源消耗之間的折衷兩個方面提出了具有時延限制功能的高能效業(yè)務調度,路由及無線發(fā)送一體化算法。所提算法能根據系統(tǒng)時延界限,在聯(lián)合優(yōu)化無線及有線參數的同時提升一體化網絡的系統(tǒng)能效。通過仿真,我們驗證了所提算法的有效性。我們基于納什非合作博弈論,幾何規(guī)劃,凸優(yōu)化等方法,針對不同網絡優(yōu)化目標及場景提供了有效的解決方案。同時,所提算法均符合下一代無線網絡框架,也同樣適用于其他無線網絡的干擾管理和時延受限下的高能效傳輸問題。
[Abstract]:With the rapid development of the next generation of wireless communication services based on IP (Internet Protocol), the capacity of the wireless network and the backbone network service scheduling and routing between the base stations are facing new challenges. With the close attention of the academia and the industry, a series of funds are made to the wireless physical layer in the 4G (4th generation) network. Source integration to improve resource utilization, such as OFDMA (orthogonal frequency division multiple access), base station collaborative multipoint Technology (Co MP, coordinated multi-point), CA (carrier), etc.. Through resource integration, the network capacity can be greatly enhanced and the cell edge coverage is enhanced, but at the same time, interference management is also brought to the same time. Therefore, the interference coordination technology in the next generation wireless network presents new content, such as the formation of base station collaboration cluster and user scheduling in the multi-point collaboration of base station, power distribution of base station based on OFDMA. On the other hand, the rapidly increasing mobile IP service, especially the 5G (5th generation) wireless network physical layer, is put forward. Using mmwave, massive-MIMO (massive multiple-input multiple-output), ultra dense cell and other schemes to further support the wireless data rate of more than 1000 times higher than 4G, from the perspective of improving resource utilization and system energy efficiency, how to compromise between various "large-scale" resource dissipation and achieve time between base stations The service scheduling, routing and wireless transmission of extended limited functions are another challenge for next-generation wireless networks. Aiming at the problems mentioned above, this paper first studies the interference situation and proposes a practical interference coordination scheme based on the multi-point collaboration of base stations in the next generation wireless network. The actual transmission ability of the physical layer is further proposed from the point of view of the system energy efficiency in the wireless network. The proposed algorithm has the characteristics that can bind the maximum transmission delay (worst-case delay) of the data stream (delay). From the angle of wireless network interference management, we propose a set of distributed base station multipoint. The adaptive dynamic formation mechanism of the cooperative cluster has a strong adaptive ability to the dynamic change of the wireless communication environment. At the same time, the distributed decision mechanism is simple and extensible. After the base station cluster and the user scheduling result, we implement the classical WF (water-filling) power allocation algorithm in all the orthogonal frequency bands in the community. The power allocation strategy space to the base station in each band. Then, we use the Nash non cooperative power game method to model the power allocation in the base station collaboration cluster. Through the Nash game theory, we prove that the proposed game model has the unique Nash equilibrium point (NE, Nash Equilibrium), and the search for the only NE point search is given. The performance simulation shows that the proposed base station collaboration scheme can greatly improve the system capacity, and its distributed design is both simple and extensible, so it has a strong engineering feasibility. Although the heuristic algorithm has high engineering value, the transmission scheduling and scheduling of the maximum system capacity are realized from the theoretical point of view. The power allocation joint optimal solution is of great significance for evaluating the performance of the heuristic algorithm. However, the optimization problem is a hybrid optimization problem. In the existing literature, the two step heuristic solution of the user scheduling power allocation is almost all. In this paper, a novel PFM mechanism (power-fractionizing mechanism) is proposed to be discrete. The transmission scheduling of variables and the optimization of the power distribution of continuous variables are unified into the SP (SIGNOMIAL programming) optimization model. Based on the geometric programming optimization (GP, geometric programming), the local optimal solution of this kind of joint optimization problem is given. And from the experience of the GP algorithm, the local optimal solution is often the global optimal solution. The performance simulation results also verify the superiority and performance stability of the optimization algorithm than the heuristic algorithm. On the basis of the physical layer resources integration, how can the next generation wireless network, especially the "large-scale" resource consumption in the 5G, and the time delay between the lines and the wireless transmission are higher. Energy efficiency tradeoff is another challenge for a new generation of wireless networks. Considering the rapidly increasing IP traffic in the next generation wireless network, especially in the 5G network, we use a large capacity WDM (wavelength division multiplexing) wired optical switching between the base stations and configure multiple tunable laser transmitters (tunable LA) through the network endpoints. SERS) transmit multiple groups of IP packets to different communities at the same time. According to the characteristics of "large-scale, multi parameterized" in the next generation of wireless networks, in view of the network energy efficiency, this paper proposes a joint optimization target of "wireless to wired wireless" integrated system energy efficiency. Two aspects of the tradeoff between wired and wireless distribution and the tradeoff between wired and wireless resource consumption are proposed in this paper. A high energy efficient service scheduling, routing and wireless transmission integration algorithm with time delay limitation is proposed. The proposed algorithm can improve the integration of wireless and wired parameters at the same time according to the time delay limit of the system. Through simulation, we verify the effectiveness of the proposed algorithm. Based on the Nash non cooperative game theory, geometric programming, convex optimization and other methods, we provide an effective solution for different network optimization targets and scenes. At the same time, the proposed algorithms are all in line with the next generation wireless network framework, and are also applicable to the others. Interference management of line network and high efficiency transmission under delay constraint.

【學位授予單位】：電子科技大學
【學位級別】：博士
【學位授予年份】：2016
【分類號】：TN929.5

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