面向數(shù)據(jù)分發(fā)的蜂窩直通通信技術(shù)研究
發(fā)布時間：2018-09-03 18:24
【摘要】：隨著信息技術(shù)與無線網(wǎng)絡(luò)技術(shù)的不斷發(fā)展,無線多媒體業(yè)務(wù)已經(jīng)呈現(xiàn)出爆炸式增長趨勢。在現(xiàn)有網(wǎng)絡(luò)條件下,如何更有效利用有限網(wǎng)絡(luò)資源實現(xiàn)高速率數(shù)據(jù)分發(fā)己成為無線通信研究領(lǐng)域內(nèi)最重要的課題之一。為滿足不斷增長的新業(yè)務(wù)及新需求,端到端直通通信(Device-to-Device, D2D)技術(shù)做為一種高效的信息傳輸方案,被認為是移動互聯(lián)網(wǎng)領(lǐng)域最有前途的大規(guī)模數(shù)據(jù)分發(fā)技術(shù)之一。D2D技術(shù)的核心思想是利用D2D通信速率高、頻譜效率高、功耗低等優(yōu)勢完成高效的點對點或點對多點傳輸,不再通過基站轉(zhuǎn)發(fā)。國內(nèi)外眾多知名高校、科研機構(gòu)和公司都積極投入對D2D的研究,并取得了些重要的研究成果。 經(jīng)證明,D2D能顯著改善數(shù)據(jù)分發(fā)系統(tǒng)性能,如提升網(wǎng)絡(luò)吞吐量、提高頻譜效率、降低網(wǎng)絡(luò)負載等。而當(dāng)D2D引入到傳統(tǒng)的蜂窩網(wǎng)絡(luò)系統(tǒng)后形成D2D輔助蜂窩網(wǎng)絡(luò),網(wǎng)絡(luò)環(huán)境變得更加復(fù)雜。因此,需要對面向數(shù)據(jù)分發(fā)的D2D通信網(wǎng)絡(luò)進行優(yōu)化,以減少用戶之間相互干擾,滿足用戶QoS需求,對進一步提升D2D輔助蜂窩網(wǎng)絡(luò)數(shù)據(jù)分發(fā)的性能并促進D2D的大規(guī)模應(yīng)用具有重要的指導(dǎo)意義。 本論文首先研究海量D2D用戶共存場景下以提高D2D網(wǎng)絡(luò)可靠性為目標(biāo)的資源分配算法；其次研究D2D輔助蜂窩網(wǎng)絡(luò)中在保障用戶QoS需求和收益條件下,以提高混合網(wǎng)絡(luò)容量為目標(biāo)的資源分配算法,包括正交頻譜劃分和全局頻率復(fù)用兩種場景；最后考慮多播協(xié)作用戶間的緊密性,研究D2D協(xié)作多播數(shù)據(jù)分發(fā)算法。本論文的主要貢獻包括以下幾個方面： 第一,在多個D2D用戶在有限區(qū)域內(nèi)共存的場景下,首先利用隨機幾何理論對D2D網(wǎng)絡(luò)建模,將D2D用戶建模為在有限平面上用戶數(shù)目服從時間維度上的泊松分布,在二維平面位置上服從均勻分布的PPP過程。在同時考慮路徑損耗和陰影衰落的條件下,推導(dǎo)了多個D2D用戶共信道部署情況下的中斷概率表達式,并分析了影響中斷概率的關(guān)鍵參數(shù)。其次,針對D2D用戶在有限區(qū)域內(nèi)密集部署的場景,提出了提高D2D傳輸可靠性的頻譜分配與功率控制算法。最后仿真驗證了所提出的資源分配算法在傳輸可靠性方面有明顯優(yōu)勢。 第二,在D2D輔助蜂窩網(wǎng)絡(luò)正交頻率劃分場景下,有若干蜂窩用戶與D2D用戶在有限區(qū)域內(nèi)使用相互正交資源,研究了基于用戶差異化QoS保障的資源分配算法。首先,針對優(yōu)先級較高的宏蜂窩用戶提出滿足其最低速率需求的最小信道分配策略。其次,針對D2D用戶的傳輸可靠性要求,理論分析了共信道部署的最大用戶密度,基于該理論分析提出了基于用戶分簇的啟發(fā)式資源管理算法。最后,以最大化網(wǎng)絡(luò)容量為目標(biāo)按D2D用戶簇進行信道分配。仿真表明,所提出的資源分配算法不僅能保障蜂窩用戶QoS需求,同時也能滿足D2D用戶中斷概率的限制。 第三,在D2D輔助蜂窩網(wǎng)絡(luò)中全局頻率復(fù)用場景下,若干蜂窩用戶與一個D2D用戶復(fù)用全部資源。研究了全局頻譜復(fù)用下基于網(wǎng)絡(luò)收益保障的頻譜與功率聯(lián)合分配算法。首先,對D2D用戶在每個子信道上的支付函數(shù)以及蜂窩網(wǎng)絡(luò)的成本函數(shù)建模,建立網(wǎng)絡(luò)收益模型。其次,建立了以最大化混合網(wǎng)絡(luò)吞吐量為目標(biāo),以滿足網(wǎng)絡(luò)收益為條件的子信道分配和功率分配的聯(lián)合優(yōu)化問題模型。最后,利用凸優(yōu)化理論提出了基于對偶分解的最優(yōu)化算法和兩步走的次優(yōu)化算法。仿真結(jié)果表明,所提最優(yōu)化算法與傳統(tǒng)資源分配算法相比,在網(wǎng)絡(luò)容量方面有明顯提升。此外,次優(yōu)化算法在極大降低運算復(fù)雜度的同時,網(wǎng)絡(luò)容量接近全局最優(yōu)解。 第四,為提高蜂窩網(wǎng)絡(luò)中數(shù)據(jù)分發(fā)效率,研究了基于D2D協(xié)作多播的數(shù)據(jù)分發(fā)策略,該策略分兩個階段。第一階段,基站首先根據(jù)多播業(yè)務(wù)速率要求進行多播。第二階段,通過簇內(nèi)D2D協(xié)作多播向未正確接收的用戶進行數(shù)據(jù)重傳。首先,為提高協(xié)作多播的可靠性,設(shè)計統(tǒng)一的用戶緊密度評價指標(biāo),并基于該指標(biāo)構(gòu)建表征用戶緊密度的鄰居圖。其次,提出一種以最大化網(wǎng)絡(luò)吞吐量為目標(biāo)的分簇策略。最后,在兩個階段都沒有成功接收數(shù)據(jù)的用戶直接向基站請求數(shù)據(jù)。仿真結(jié)果表明,該數(shù)據(jù)分發(fā)策略不僅提高了網(wǎng)絡(luò)容量,并且極大降低了基站負載。
[Abstract]:With the continuous development of information technology and wireless network technology, wireless multimedia services have shown an explosive growth trend. Under the existing network conditions, how to make more effective use of limited network resources to achieve high-speed data distribution has become one of the most important topics in the field of wireless communication research. As an efficient information transmission scheme, end-to-end direct communication (D2D) technology is considered as one of the most promising large-scale data distribution technologies in the field of mobile Internet. The core idea of D2D technology is to make use of the advantages of high speed, high spectrum efficiency and low power consumption of D2D to complete efficient point-to-point or point-to-point communication. Point-to-multipoint transmission is no longer transmitted through base stations. Many well-known universities, research institutions and companies at home and abroad have actively engaged in the research of D2D, and have achieved some important research results.
It has been proved that D2D can significantly improve the performance of data distribution system, such as increasing network throughput, improving spectrum efficiency, reducing network load, etc. However, when D2D is introduced into traditional cellular network system, the network environment becomes more complex. Therefore, it is necessary to optimize the data distribution-oriented D2D communication network to reduce network load. It is of great significance to further improve the performance of D2D-assisted cellular network data distribution and promote the large-scale application of D2D.
Firstly, this paper studies the resource allocation algorithm aiming at improving the reliability of D2D network in the scenario of massive D2D users coexistence; secondly, it studies the resource allocation algorithm aiming at improving the capacity of hybrid network under the condition of guaranteeing the QoS demand and revenue of users in D2D-assisted cellular network, including orthogonal spectrum partitioning and global frequency reuse. Finally, considering the tightness of multicast cooperative users, the D2D cooperative multicast data distribution algorithm is studied.
Firstly, in the scenario where multiple D2D users coexist in a finite area, the D2D network is modeled by using stochastic geometry theory. The number of D2D users is modeled as a Poisson distribution on a finite plane and a PPP process with uniform distribution on a two-dimensional plane. Under the condition, the interruption probability expression is deduced and the key parameters affecting the interruption probability are analyzed. Secondly, a spectrum allocation and power control algorithm is proposed to improve the reliability of D2D transmission in the scenario of densely deployed D2D users in a limited area. The source allocation algorithm has obvious advantages in transmission reliability.
Secondly, in the scenario of D2D-assisted orthogonal frequency division in cellular networks, some cellular users and D2D users use orthogonal resources in a limited area, and a resource allocation algorithm based on user-differentiated QoS guarantee is studied. Firstly, a minimum channel allocation policy is proposed to satisfy the minimum rate requirement of high-priority macro cellular users. Secondly, aiming at the transmission reliability requirement of D2D users, the maximum user density of common channel deployment is theoretically analyzed, and a heuristic resource management algorithm based on user clustering is proposed. Finally, the channel allocation is carried out according to D2D user cluster with the goal of maximizing network capacity. It not only guarantees the QoS demand of cellular users, but also meets the D2D user outage probability limit.
Thirdly, in the global frequency reuse scenario in D2D-assisted cellular networks, several cellular users and a D2D user reuse all the resources. A joint spectrum and power allocation algorithm based on network revenue guarantee is studied in this paper. Firstly, the payment function of D2D users on each subchannel and the cost function of cellular networks are constructed. Secondly, a joint optimization model of subchannel allocation and power allocation is established to maximize the throughput of hybrid networks and satisfy the network benefits. Finally, an optimal algorithm based on dual decomposition and a two-step suboptimal algorithm are proposed by using convex optimization theory. Compared with the traditional resource allocation algorithm, the proposed optimization algorithm can significantly improve the network capacity. In addition, the sub-optimization algorithm can greatly reduce the computational complexity while the network capacity is close to the global optimal solution.
Fourthly, in order to improve the efficiency of data distribution in cellular networks, a data distribution strategy based on D2D cooperative multicast is studied. The strategy is divided into two stages. In the first stage, the base station performs multicast according to the multicast traffic rate requirement. Secondly, a clustering strategy is proposed to maximize network throughput. Finally, users who have not received data successfully in both stages request data directly from the base station. Obviously, the data distribution strategy not only improves the network capacity, but also greatly reduces the load of the base station.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TN929.5
本文編號：2220796
[Abstract]:With the continuous development of information technology and wireless network technology, wireless multimedia services have shown an explosive growth trend. Under the existing network conditions, how to make more effective use of limited network resources to achieve high-speed data distribution has become one of the most important topics in the field of wireless communication research. As an efficient information transmission scheme, end-to-end direct communication (D2D) technology is considered as one of the most promising large-scale data distribution technologies in the field of mobile Internet. The core idea of D2D technology is to make use of the advantages of high speed, high spectrum efficiency and low power consumption of D2D to complete efficient point-to-point or point-to-point communication. Point-to-multipoint transmission is no longer transmitted through base stations. Many well-known universities, research institutions and companies at home and abroad have actively engaged in the research of D2D, and have achieved some important research results.
It has been proved that D2D can significantly improve the performance of data distribution system, such as increasing network throughput, improving spectrum efficiency, reducing network load, etc. However, when D2D is introduced into traditional cellular network system, the network environment becomes more complex. Therefore, it is necessary to optimize the data distribution-oriented D2D communication network to reduce network load. It is of great significance to further improve the performance of D2D-assisted cellular network data distribution and promote the large-scale application of D2D.
Firstly, this paper studies the resource allocation algorithm aiming at improving the reliability of D2D network in the scenario of massive D2D users coexistence; secondly, it studies the resource allocation algorithm aiming at improving the capacity of hybrid network under the condition of guaranteeing the QoS demand and revenue of users in D2D-assisted cellular network, including orthogonal spectrum partitioning and global frequency reuse. Finally, considering the tightness of multicast cooperative users, the D2D cooperative multicast data distribution algorithm is studied.
Firstly, in the scenario where multiple D2D users coexist in a finite area, the D2D network is modeled by using stochastic geometry theory. The number of D2D users is modeled as a Poisson distribution on a finite plane and a PPP process with uniform distribution on a two-dimensional plane. Under the condition, the interruption probability expression is deduced and the key parameters affecting the interruption probability are analyzed. Secondly, a spectrum allocation and power control algorithm is proposed to improve the reliability of D2D transmission in the scenario of densely deployed D2D users in a limited area. The source allocation algorithm has obvious advantages in transmission reliability.
Secondly, in the scenario of D2D-assisted orthogonal frequency division in cellular networks, some cellular users and D2D users use orthogonal resources in a limited area, and a resource allocation algorithm based on user-differentiated QoS guarantee is studied. Firstly, a minimum channel allocation policy is proposed to satisfy the minimum rate requirement of high-priority macro cellular users. Secondly, aiming at the transmission reliability requirement of D2D users, the maximum user density of common channel deployment is theoretically analyzed, and a heuristic resource management algorithm based on user clustering is proposed. Finally, the channel allocation is carried out according to D2D user cluster with the goal of maximizing network capacity. It not only guarantees the QoS demand of cellular users, but also meets the D2D user outage probability limit.
Thirdly, in the global frequency reuse scenario in D2D-assisted cellular networks, several cellular users and a D2D user reuse all the resources. A joint spectrum and power allocation algorithm based on network revenue guarantee is studied in this paper. Firstly, the payment function of D2D users on each subchannel and the cost function of cellular networks are constructed. Secondly, a joint optimization model of subchannel allocation and power allocation is established to maximize the throughput of hybrid networks and satisfy the network benefits. Finally, an optimal algorithm based on dual decomposition and a two-step suboptimal algorithm are proposed by using convex optimization theory. Compared with the traditional resource allocation algorithm, the proposed optimization algorithm can significantly improve the network capacity. In addition, the sub-optimization algorithm can greatly reduce the computational complexity while the network capacity is close to the global optimal solution.
Fourthly, in order to improve the efficiency of data distribution in cellular networks, a data distribution strategy based on D2D cooperative multicast is studied. The strategy is divided into two stages. In the first stage, the base station performs multicast according to the multicast traffic rate requirement. Secondly, a clustering strategy is proposed to maximize network throughput. Finally, users who have not received data successfully in both stages request data directly from the base station. Obviously, the data distribution strategy not only improves the network capacity, but also greatly reduces the load of the base station.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TN929.5
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