本文選題：數(shù)據(jù)通信 + 多樣性��； 參考：《哈爾濱工業(yè)大學(xué)》2017年博士論文

【摘要】：伴隨著無線通信技術(shù)的不斷發(fā)展、移動(dòng)設(shè)備功能的不斷增加、以及嵌入式技術(shù)等關(guān)鍵技術(shù)的不斷普及和應(yīng)用,3G/4G手機(jī)網(wǎng)絡(luò)、WiFi網(wǎng)絡(luò)、D2D網(wǎng)絡(luò)等無線網(wǎng)絡(luò)成為了支持各種場(chǎng)景中信息流通的核心渠道之一。這些場(chǎng)景引入了更多行為存在多樣性的參與者,例如運(yùn)行不同應(yīng)用的智能設(shè)備持有者、不同作用的感知部件、控制部件等。這些參與者在產(chǎn)生大規(guī)模的信息流通的同時(shí),通常有各異的并且復(fù)雜的行為目的,因此相應(yīng)的會(huì)產(chǎn)生多種多樣的數(shù)據(jù)通信要求。這對(duì)無線網(wǎng)絡(luò)的設(shè)計(jì)和資源調(diào)配提出了一系列新的挑戰(zhàn),需要對(duì)包括鏈路層數(shù)據(jù)傳輸調(diào)度、網(wǎng)絡(luò)結(jié)構(gòu)拓?fù)湓O(shè)計(jì)、媒體存取控制層協(xié)議、應(yīng)用層資源分配在內(nèi)的多個(gè)方面進(jìn)行重新思考。其中鏈路層數(shù)據(jù)傳輸調(diào)度方案是關(guān)鍵環(huán)節(jié)之一,它在給定網(wǎng)路中各鏈路的信道質(zhì)量、沖突情況等因素的前提下,確定在各個(gè)時(shí)間段內(nèi)進(jìn)行傳輸?shù)脑O(shè)備對(duì)。更具體的,鏈路層數(shù)據(jù)傳輸調(diào)度方案能夠根據(jù)各個(gè)參與者的通信請(qǐng)求,在不同網(wǎng)絡(luò)環(huán)境和通信負(fù)載下合理為各個(gè)參與者分配傳輸資源,從而保證這些場(chǎng)景下系統(tǒng)的正常運(yùn)行。然而,現(xiàn)有的數(shù)據(jù)傳輸調(diào)度方法還不夠完善,仍以最大化網(wǎng)絡(luò)利用率、保證鏈路質(zhì)量等作為主要優(yōu)化目標(biāo),存在著一些缺陷,主要有以下幾點(diǎn):第一,這些方法需要確保參與者行為某種程度的一致性,不能對(duì)多樣性的情況進(jìn)行分析和給出相應(yīng)的傳輸資源分配方案;第二,這些方法主要從單條鏈路所獲服務(wù)衡量整個(gè)系統(tǒng)的性能,不能從場(chǎng)景中不同應(yīng)用所獲得的服務(wù)進(jìn)行評(píng)估,同時(shí)給出相應(yīng)的確保各應(yīng)用正常運(yùn)行的傳輸資源分配方案;第三,考慮到參與者時(shí)常為請(qǐng)求各異的個(gè)人,這些方法很難去直接同參與者的用戶體驗(yàn)相聯(lián)系,特別是在網(wǎng)絡(luò)帶寬資源占用率極高的情況下。本文針對(duì)無線網(wǎng)絡(luò)中參與者的多樣性行為,主要包括多樣性的通信請(qǐng)求模型、多樣性的服務(wù)質(zhì)量要求、多樣性的應(yīng)用傳輸要求、多樣性用戶行為下用戶體驗(yàn)保證等關(guān)鍵問題給出了一系列的問題模型化和算法研究結(jié)果,很好的解決了上述問題,主要研究?jī)?nèi)容如下:(1)本文研究了滿足多樣性多播通信的傳輸調(diào)度方案。為了克服現(xiàn)有工作需要假設(shè)各個(gè)設(shè)備的多播通信模型保持一定程度一致的局限性,本文在第二章分析了在各個(gè)設(shè)備可以任意確定其多播通信中目的節(jié)點(diǎn)情況下整個(gè)網(wǎng)絡(luò)的性能表現(xiàn),以及達(dá)到優(yōu)化網(wǎng)絡(luò)性能的數(shù)據(jù)傳輸調(diào)度方案。本文首先提出了一種新的網(wǎng)絡(luò)模型,該模型允許各個(gè)設(shè)備在多跳無線網(wǎng)絡(luò)中在任意區(qū)域內(nèi)選擇任意個(gè)數(shù)不超過節(jié)點(diǎn)上限的目的節(jié)點(diǎn),更加符合參與者行為多樣性的特點(diǎn)。針對(duì)所提出的模型,本文分析了無線網(wǎng)絡(luò)所能達(dá)到的網(wǎng)絡(luò)容量上界,其中網(wǎng)絡(luò)容量表示無線網(wǎng)絡(luò)在一定時(shí)長(zhǎng)內(nèi)所能傳輸?shù)臄?shù)據(jù)總量。在上界的具體分析過程中,本文提出了一種新的指標(biāo),用于刻畫單節(jié)點(diǎn)向其目的節(jié)點(diǎn)傳輸數(shù)據(jù)時(shí)需要面對(duì)的資源競(jìng)爭(zhēng)激烈程度,這一指標(biāo)能夠幫助推導(dǎo)出網(wǎng)絡(luò)容量的上界。隨后,本文擴(kuò)展一種經(jīng)典數(shù)據(jù)傳輸調(diào)度方案,設(shè)計(jì)出了一種供各節(jié)點(diǎn)進(jìn)行傳輸?shù)姆桨?并且通過理論分析證明了這一方案的可達(dá)容量下界同網(wǎng)絡(luò)容量上界是同階緊湊的,進(jìn)而證明該方案的優(yōu)化行。最后,本文討論并通過實(shí)驗(yàn)驗(yàn)證了設(shè)備通信模型的多樣性對(duì)網(wǎng)絡(luò)總的容量的影響。(2)本文研究了滿足服務(wù)間隔要求多樣性的傳輸調(diào)度方案。為了克服現(xiàn)有數(shù)據(jù)傳輸調(diào)度方案無法滿足一般無線網(wǎng)絡(luò)中設(shè)備存在的不同服務(wù)間隔的要求這一現(xiàn)狀,本文在第三章研究了如何在滿足各個(gè)設(shè)備不同服務(wù)間隔的前提下,同時(shí)保證網(wǎng)絡(luò)資源的充分利用。本文首先提出了一種新的網(wǎng)絡(luò)模型以及網(wǎng)絡(luò)穩(wěn)定性的定義,能夠刻畫在包含不同服務(wù)間隔要求的前提下網(wǎng)絡(luò)穩(wěn)定的含義。隨后,本文證明了優(yōu)化的數(shù)據(jù)傳輸調(diào)度方案設(shè)計(jì)問題為NP完全問題,進(jìn)而提出了一種相應(yīng)的近似數(shù)據(jù)傳輸調(diào)度策略,該策略綜合兩種已有的經(jīng)典方法,在考慮各設(shè)備服務(wù)間隔的前提下兼顧了網(wǎng)絡(luò)資源的利用率。本文證明了在一中常見的無線網(wǎng)絡(luò)模型,即并置網(wǎng)絡(luò)中,該策略能達(dá)到優(yōu)化的性能,并且進(jìn)一步分析了不同的服務(wù)間隔對(duì)網(wǎng)絡(luò)總體性能及單個(gè)設(shè)備數(shù)據(jù)隊(duì)列長(zhǎng)度的影響。最后本文通過實(shí)驗(yàn)驗(yàn)證了所提出的策略能夠顯著的改觀各設(shè)備間不同服務(wù)間隔的保證情況。(3)本文研究了滿足不同應(yīng)用多樣性通信請(qǐng)求的數(shù)據(jù)傳輸調(diào)度方案。為了克服目前的數(shù)據(jù)傳輸調(diào)度方案大都針對(duì)鏈路級(jí)表現(xiàn)進(jìn)行優(yōu)化的局限性,本文在第四章研究了如何在考慮到各個(gè)應(yīng)用及其具體運(yùn)行任務(wù)對(duì)數(shù)據(jù)傳輸存在不同要求的前提下,設(shè)計(jì)數(shù)據(jù)傳輸調(diào)度方案。本文首先提出了一種新的網(wǎng)絡(luò)模型及網(wǎng)絡(luò)穩(wěn)定性定義,該模型能夠形式化描述各設(shè)備上不同應(yīng)用及任務(wù)的通信請(qǐng)求,并且將網(wǎng)絡(luò)穩(wěn)定性同一段時(shí)間內(nèi)傳輸失敗的任務(wù)個(gè)數(shù)相聯(lián)系。具體的,本文提出了一種新的指標(biāo),用于刻畫在各設(shè)備上,屬于某應(yīng)用的一個(gè)具體任務(wù)在各個(gè)時(shí)間點(diǎn)的最小數(shù)據(jù)通信請(qǐng)求。這一指標(biāo)能夠用于表示各個(gè)應(yīng)用的通信請(qǐng)求多樣性。而后,本文證明了優(yōu)化調(diào)度策略的設(shè)計(jì)是一個(gè)NP完全問題,提出了一種新的數(shù)據(jù)傳輸調(diào)度策略,該策略能夠根據(jù)各個(gè)任務(wù)對(duì)網(wǎng)絡(luò)資源需求的緊迫程度進(jìn)行調(diào)度,并且保證對(duì)網(wǎng)絡(luò)資源的充分利用。本文隨后分析了這一策略的效率性能,并且證明了其在并置網(wǎng)絡(luò)中可以達(dá)到優(yōu)化的效果。本文同樣分析了優(yōu)化調(diào)度策略的設(shè)計(jì)及證明思路,并且給出了其時(shí)間開銷。最后,本文通過大量實(shí)驗(yàn)驗(yàn)證了所提出的算法能夠顯著提高各個(gè)設(shè)備在其各個(gè)應(yīng)用上的數(shù)據(jù)傳輸表現(xiàn)。(4)本文研究了包含多樣性通信請(qǐng)求下滿足用戶體驗(yàn)的數(shù)據(jù)傳輸調(diào)度方案。為了克服現(xiàn)有的數(shù)據(jù)傳輸調(diào)度方案無法在參與者通信請(qǐng)求存在差異性的情況下平衡用戶體驗(yàn)這一局限性,本文在第五章研究了用有限的網(wǎng)絡(luò)資源服務(wù)最大數(shù)量的參與者,并且保證各參與者用戶體驗(yàn)的問題。本文首先提出了一種改進(jìn)的網(wǎng)絡(luò)模型,該模型刻畫了不同參與者的不同數(shù)據(jù)通信請(qǐng)求,并且為各用戶提供了一個(gè)用戶體驗(yàn)的保證。同時(shí),本文提出了一種相應(yīng)的網(wǎng)絡(luò)穩(wěn)定性定義,與一段時(shí)間內(nèi)網(wǎng)絡(luò)中成功進(jìn)行數(shù)據(jù)傳輸并且滿足用戶體驗(yàn)要求的參與者數(shù)量相關(guān)�；谒o出的模型,本文首先分析了優(yōu)化策略的設(shè)計(jì)問題是NP完全問題,設(shè)計(jì)了一個(gè)包含兩階段的近似數(shù)據(jù)傳輸調(diào)度方案,該方案分別確定新到參與者的接入決策和接入點(diǎn)分配,以及針對(duì)已接入的參與者的網(wǎng)絡(luò)資源分配方案。隨后,本文分析了這一策略的時(shí)間空間復(fù)雜度,以及方案所能達(dá)到的性能比。最后本文通過模擬實(shí)驗(yàn)驗(yàn)證了該方案在確保各個(gè)用戶服務(wù)體驗(yàn)的前提下,能夠提高網(wǎng)絡(luò)所服務(wù)的總用戶個(gè)數(shù)。
[Abstract]:With the continuous development of wireless communication technology, the increasing function of mobile devices, and the continuous popularization and application of key technologies such as embedded technology, 3G/4G mobile network, WiFi network, D2D network and other wireless networks have become one of the core channels to support the flow of information in various scenes. Sample participants, such as intelligent equipment holders running different applications, different functional components, control components, and so on. These participants usually have different and complex behavioral purposes while producing large-scale information circulation, and accordingly produce a variety of data communication requirements. A series of new challenges are proposed, including link layer data transmission scheduling, network structure topology design, media access control layer protocol, and application layer resource allocation. The link layer data transfer scheduling scheme is one of the key links in a given network link. On the premise of channel quality, conflict situation and other factors, the equipment for transmission in each time period is determined. More specifically, the link layer data transmission scheduling scheme can allocate the transmission resources reasonably for each participant in different network environment and communication load to guarantee these scenarios, according to the communication requests of each participant. However, the existing system is running properly. However, the existing data transmission scheduling methods are still not perfect. There are still some defects in the main optimization objectives, such as maximizing the network utilization and ensuring the link quality. The main problems are as follows: first, these methods need to ensure the consistency of the participants' behavior to a certain extent and not to the diversity. Second, these methods mainly measure the performance of the whole system from the service obtained by the single link, and can not evaluate the service obtained from the different applications in the scene. At the same time, the corresponding transmission resource allocation scheme to ensure the normal operation of each application is given; and third, taking into account the participation of the system. These methods are often difficult to relate to the user experience of the participants, especially when the occupancy rate of the network bandwidth is very high. This paper focuses on the diversity behavior of the participants in the wireless network, mainly including the diversity of the communication request model, the diversity of the quality of service and diversity. A series of problem modeling and algorithm research results are given in the application of transmission requirements and user experience assurance in diversity user behavior. The main research contents are as follows: (1) this paper studies the transmission scheduling scheme satisfying the diversity multicast communication. In order to overcome the existing work, it is necessary to assume the various assumptions. In the second chapter, the performance of the entire network and the data transmission scheduling scheme to optimize the network performance are analyzed in this paper. In this paper, a new network model is proposed in this paper. The model allows each device to choose a destination node with any number of no more than the upper limit of the node in any area in a multi hop wireless network, which is more consistent with the diversity of participants' behavior. In this paper, the network capacity up to the proposed model is analyzed. The network capacity indicates that the wireless network is certain. In the specific analysis process of the upper bound, this paper presents a new index, which is used to describe the intensity of the resource competition that the single node has to face when it transfers data to its destination node. This index can help to derive the upper bound of the network capacity. Then, this paper extends a classic data transmission. A scheme is designed for the transmission of each node. Through theoretical analysis, it is proved that the upper bound of the capacity of the scheme is the same as the upper bound of the network capacity. Then the optimization of the scheme is proved. Finally, the paper discusses and validates the total network capacity of the diversity of the equipment communication model by the experiment. (2) this paper studies the transmission scheduling scheme that satisfies the diversity of service interval requirements. In order to overcome the current situation that the existing data transmission scheduling scheme can not meet the requirements of the different service intervals of the equipment in the general wireless network, this paper studies how to meet the different service intervals of each device in the third chapter. At the same time, a new network model and the definition of network stability are proposed, which can describe the meaning of network stability under the requirements of different service intervals. Then, this paper proves that the optimal design of data transmission scheduling scheme is a NP complete problem, and then a new problem is proposed. The corresponding approximate data transfer scheduling strategy, which combines two existing classical methods, considers the utilization of network resources on the premise of considering the service interval of each device. This paper proves that the common wireless network model, that is, in the parallel network, can achieve optimization performance and further analyze the difference. The effect of service interval on the overall performance of the network and the length of the data queue of a single device. Finally, this paper proves that the proposed strategy can significantly improve the guarantee of different service intervals between various devices. (3) this paper studies the data transmission scheduling scheme which satisfies the request of different application diversity communications. The previous data transmission scheduling schemes are mostly aimed at the limitation of link level performance optimization. In the fourth chapter, this paper studies how to design a data transfer scheduling scheme on the premise of different requirements for data transmission in each application and its specific operation tasks. This paper first presents a new network model and network stability. Qualitative definition, the model can formally describe the communication requests of different applications and tasks on each device, and connect the number of tasks that fail in the same period of time. In particular, this paper presents a new index to describe a specific task on each device at every time point. The minimum data communication request. This index can be used to represent the diversity of communication requests for each application. Then, this paper proves that the design of the optimal scheduling strategy is a NP complete problem, and proposes a new data transfer scheduling strategy, which can schedule the urgency of the network resource requirements according to each task. This paper then analyzes the efficiency performance of this strategy and proves that it can achieve the optimization effect in the parallel network. This paper also analyzes the design and proof of the optimal scheduling strategy and gives its time overhead. The algorithm can significantly improve the data transmission performance of each device in its various applications. (4) this paper studies the data transmission scheduling scheme which contains the diversity communication request to meet the user experience. In order to overcome the existing data transmission scheduling scheme can not balance the user experience under the presence of the participants' communication requests. In the fifth chapter, in this paper, we study the largest number of participants with limited network resources and guarantee the user experience of each participant. This paper first presents an improved network model, which depicts different participants' different data communication requests, and provides a user experience for each user. At the same time, this paper proposes a corresponding definition of network stability, which is related to the number of participants who successfully carry out data transmission in a period of time and meet the requirements of user experience. Based on the model given, this paper first analyzes the design problem of the optimization strategy is the NP complete problem, and designs a close two phase. Like data transmission scheduling scheme, the scheme determines the access decision and access point allocation of the new participants and the network resource allocation scheme for the participants that have been connected. Then, this paper analyzes the time space complexity of the strategy and the performance ratio that the scheme can achieve. The scheme can improve the total number of users served by the network under the premise of ensuring the experience of each user service.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN92

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