本文選題：協(xié)同優(yōu)化 + 網(wǎng)絡(luò)選擇��； 參考：《南京郵電大學(xué)》2016年博士論文

【摘要】：隨著移動互聯(lián)網(wǎng)應(yīng)用的快速發(fā)展以及數(shù)據(jù)業(yè)務(wù)需求的爆發(fā)式增長,無線網(wǎng)絡(luò)面臨著巨大的挑戰(zhàn)。異構(gòu)網(wǎng)絡(luò)協(xié)同可以優(yōu)化無線網(wǎng)絡(luò)資源提高網(wǎng)絡(luò)容量,多終端協(xié)同可以提高用戶體驗。另外,在傳統(tǒng)宏蜂窩之外增加大量小小區(qū)基站形成的超密集網(wǎng)絡(luò),也能夠大大提升網(wǎng)絡(luò)容量。但是,小小區(qū)基站數(shù)量的增加,使得回程鏈路資源分配和路由設(shè)計問題日益成為影響用戶業(yè)務(wù)速率的關(guān)鍵因素。此外,能量消耗也成為制約無線接入節(jié)點大量部署的重要原因�；谝陨蠁栴},本論文針對無線網(wǎng)絡(luò)資源協(xié)同優(yōu)化方法及其關(guān)鍵技術(shù)進行研究,主要研究內(nèi)容和成果包括:(1)針對異構(gòu)無線網(wǎng)絡(luò)多終端環(huán)境,研究了協(xié)同無線接入網(wǎng)絡(luò)選擇和資源分配問題,提出了一種多終端協(xié)同場景中基于多屬性決策的網(wǎng)絡(luò)選擇方法與資源分配算法。首先,綜合考慮網(wǎng)絡(luò)狀況、終端和業(yè)務(wù)特征等多種屬性進行綜合決策,選出最合適的候選網(wǎng)絡(luò)集合。然后,基于效用函數(shù)為每個候選網(wǎng)絡(luò)進行資源分配。仿真結(jié)果表明,該算法能夠有效利用多個網(wǎng)絡(luò)資源來滿足用戶對于服務(wù)的特定需求,同時提高了資源利用率。(2)針對無線超密集網(wǎng)絡(luò)混合回程場景,研究了無線回程多鏈路協(xié)同的資源分配問題。基于由宏基站根據(jù)全局鄰小區(qū)信息表進行決策的集中式回程鏈路選擇方案,提出了一種基于代價函數(shù)的并行回程鏈路資源分配方法。以最小化回程鏈路功率消耗和傳輸時延為優(yōu)化目標(biāo)、以小小區(qū)基站的可用資源為約束條件,建立了優(yōu)化問題。通過求解凸優(yōu)化問題得到了回程鏈路速率在特定條件下的解析解。仿真結(jié)果表明,當(dāng)并行回程鏈路數(shù)量變化時,該算法能夠獲得良好的頻譜效率。(3)針對超密集網(wǎng)絡(luò)無線回程場景,研究了無線回程路由決策問題�；谧钚』爻烫鴶�(shù)分類小站的方法,提出了一種基于跳數(shù)優(yōu)先負(fù)荷分擔(dān)的無線回程網(wǎng)絡(luò)路由選擇方案。以最大化回程網(wǎng)絡(luò)吞吐量為優(yōu)化目標(biāo)、以小小區(qū)基站最大發(fā)射功率和可用資源塊為約束條件,建立了優(yōu)化問題。提出了基于距離與下一跳可用資源的比例公平回程路由確定算法,并且與其他算法進行了性能比較。仿真結(jié)果表明,所提算法能夠獲得良好的系統(tǒng)吞吐率。(4)針對能量獲取無線網(wǎng)絡(luò)環(huán)境,研究了能效優(yōu)化的無線網(wǎng)絡(luò)接入控制算法。提出了一種基于模糊控制理論的參數(shù)動態(tài)調(diào)整接入控制算法。該算法能夠根據(jù)無線接入節(jié)點在前一幀中獲取的能量和接入節(jié)點當(dāng)前的剩余能量,動態(tài)調(diào)整無線接入節(jié)點在爭搶共享無線信道時的最大退避次數(shù)。能夠根據(jù)不同應(yīng)用情況下無線接入節(jié)點的數(shù)據(jù)傳輸速率和共享無線信道的歷史狀態(tài),動態(tài)調(diào)整無線接入節(jié)點在退避過程中的隨機退避時間和退避步長。仿真結(jié)果表明,所提算法提高了系統(tǒng)吞吐量,改善了無線接入節(jié)點的能量效率。
[Abstract]:With the rapid development of mobile Internet applications and the explosive growth of data services, wireless networks are facing enormous challenges.Heterogeneous network collaboration can optimize wireless network resources to improve network capacity, and multi-terminal collaboration can improve user experience.In addition, the addition of a large number of small cell base stations to a large number of ultra-dense networks in addition to the traditional macro cell can greatly enhance the network capacity.However, with the increase in the number of base stations in small cells, the problem of resource allocation and routing design for backhaul links is becoming a key factor affecting the user traffic rate.In addition, energy consumption has also become an important reason for restricting the deployment of wireless access nodes.Based on the above problems, this paper studies the cooperative optimization method of wireless network resources and its key technologies. The main research contents and results include: 1) for heterogeneous wireless network multi-terminal environment,In this paper, the problem of network selection and resource allocation in cooperative wireless access networks is studied, and a network selection method and resource allocation algorithm based on multi-attribute decision making in multi-terminal cooperative scenarios are proposed.Firstly, considering the network condition, terminal and service characteristics, the most suitable candidate network set is selected.Then, resource allocation is made for each candidate network based on utility function.Simulation results show that the algorithm can effectively utilize multiple network resources to meet the specific needs of users for services, and improve resource utilization.The resource allocation problem of wireless backhaul multi-link collaboration is studied.Based on the centralized backhaul link selection scheme, which is based on the global neighbor cell information table, a parallel backhaul link resource allocation method based on cost function is proposed.The optimization problem is established with minimizing the power consumption and transmission delay of the backhaul link and taking the available resources of the base station in a small cell as the constraint condition.The analytical solution of the return link rate under certain conditions is obtained by solving the convex optimization problem.Simulation results show that when the number of parallel backhaul links changes, the algorithm can achieve good spectral efficiency.Based on the method of classifying small stations with minimum number of backhaul hops, a routing scheme for wireless backhaul networks based on hop priority load sharing is proposed.To maximize the throughput of the backhaul network, the optimization problem is established with the maximum transmit power of the base station and the available resource block as the constraints.A proportional fair backhaul routing algorithm based on distance and next hop available resources is proposed and compared with other algorithms.Simulation results show that the proposed algorithm can achieve a good system throughput. 4) for the energy acquisition wireless network environment, the energy efficiency optimization wireless network access control algorithm is studied.A parameter dynamic adjusting access control algorithm based on fuzzy control theory is proposed.The algorithm can dynamically adjust the maximum Backoff number of wireless access nodes when competing to share the wireless channel according to the energy obtained by the wireless access node in the previous frame and the current residual energy of the access node.According to the data transmission rate of wireless access node and the history of shared wireless channel under different application conditions, the random Backoff time and step size of wireless access node in the Backoff process can be dynamically adjusted.Simulation results show that the proposed algorithm improves system throughput and energy efficiency of wireless access nodes.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：TN92

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