本文選題：異構(gòu)認(rèn)知無線網(wǎng)絡(luò) + 多鏈路�。� 參考：《北京郵電大學(xué)》2014年博士論文

【摘要】：當(dāng)前,伴隨著無線通信技術(shù)的不斷發(fā)展以及用戶通信需求的日益增長,無線通信網(wǎng)絡(luò)已發(fā)展成為具有不同帶寬、制式、接入方式和覆蓋范圍的異構(gòu)無線網(wǎng)絡(luò)。然而,傳統(tǒng)的靜態(tài)的網(wǎng)絡(luò)工作模式導(dǎo)致各異構(gòu)網(wǎng)絡(luò)之間信息獨(dú)立、資源無法共享以及頻譜利用率低下,嚴(yán)重制約了無線網(wǎng)絡(luò)的發(fā)展。異構(gòu)認(rèn)知無線網(wǎng)絡(luò),以認(rèn)知技術(shù)為基礎(chǔ),通過對異構(gòu)環(huán)境的有效認(rèn)知和網(wǎng)絡(luò)的自主決策控制,可實(shí)現(xiàn)網(wǎng)絡(luò)間信息共享和資源互通,促進(jìn)網(wǎng)絡(luò)融合。因此,研究異構(gòu)認(rèn)知無線網(wǎng)絡(luò)融合的若干關(guān)鍵技術(shù)對于提升頻譜效率、推動無線通信網(wǎng)絡(luò)發(fā)展具有重要意義。 本文首先總結(jié)了異構(gòu)認(rèn)知無線網(wǎng)絡(luò)的發(fā)展趨勢,介紹了當(dāng)前國內(nèi)外的研究現(xiàn)狀,深入分析了異構(gòu)認(rèn)知無線網(wǎng)絡(luò)的接入控制、傳輸控制以及回程資源受限下的異構(gòu)網(wǎng)絡(luò)融合等方面所面臨的機(jī)遇與挑戰(zhàn)。進(jìn)一步的,本文給出了整體研究思路：首先從異構(gòu)認(rèn)知無線網(wǎng)絡(luò)的鏈路層出發(fā),以最大化系統(tǒng)容量為目標(biāo),研究了多鏈路／單鏈路異構(gòu)用戶的接入控制技術(shù)；在此基礎(chǔ)上,本文聯(lián)合考慮鏈路層和傳輸層,以端到端效能提升為目標(biāo),研究了跨層的多鏈路傳輸控制技術(shù)；最后,本文分析了回程資源受限對異構(gòu)認(rèn)知無線網(wǎng)絡(luò)融合的影響,重點(diǎn)研究了回程資源受限下的異構(gòu)認(rèn)知無線網(wǎng)絡(luò)融合技術(shù)。 在異構(gòu)認(rèn)知無線網(wǎng)絡(luò)的接入控制方面,針對多鏈路／單鏈路異構(gòu)用戶混合場景,本文構(gòu)建了聯(lián)合網(wǎng)絡(luò)接入選擇、頻譜和功率分配的多維優(yōu)化模型,提出了一種逼近最優(yōu)的利用對偶分解將原始問題分解為多個子問題的優(yōu)化算法。仿真結(jié)果顯示,所提算法可以逼近最優(yōu)性能,具有較好的兼容性,有效提升了多鏈路／單鏈路異構(gòu)用戶混合場景下的系統(tǒng)容量。在此基礎(chǔ)上,本文進(jìn)一步將研究場景擴(kuò)展到了OFDM場景,構(gòu)建了考慮不完美信道感知下的聯(lián)合網(wǎng)絡(luò)接入選擇、子載波和功率分配的多維優(yōu)化模型。為了求解該多維整數(shù)非線性規(guī)劃問題,本文提出了一種先將原始問題松弛為線性規(guī)劃問題,然后基于松弛后的最優(yōu)解分步完成網(wǎng)絡(luò)接入選擇、子載波和功率分配的優(yōu)化算法。仿真結(jié)果顯示,所提算法可以有效控制對授權(quán)網(wǎng)絡(luò)的干擾,提升異構(gòu)認(rèn)知無線網(wǎng)絡(luò)的系統(tǒng)容量。 在異構(gòu)認(rèn)知無線網(wǎng)絡(luò)的傳輸控制方面,本文以端到端效能提升為目標(biāo),構(gòu)建了聯(lián)合鏈路層功率／頻譜分配以及傳輸層動態(tài)業(yè)務(wù)分流的跨層多鏈路傳輸控制優(yōu)化模型。為了有效求解該優(yōu)化問題,本文將原始優(yōu)化問題分解到鏈路層和傳輸層兩個層面,提出了鏈路層功率／頻譜分配和傳輸層動態(tài)業(yè)務(wù)分流的循環(huán)迭代優(yōu)化算法。仿真結(jié)果顯示,所提的循環(huán)迭代優(yōu)化算法具有較好的收斂性和穩(wěn)定性,并且在端到端會話業(yè)務(wù)量較大時,所提方案可以大幅度降低會話的端到端時延,有效提升異構(gòu)認(rèn)知無線網(wǎng)絡(luò)中的用戶體驗(yàn)。 在回程資源受限下的異構(gòu)認(rèn)知無線網(wǎng)絡(luò)融合方面,本文分析了回程資源受限對異構(gòu)認(rèn)知無線網(wǎng)絡(luò)融合的影響。在此基礎(chǔ)上,本文以回程資源受限下的分層異構(gòu)認(rèn)知無線網(wǎng)絡(luò)為研究對象,構(gòu)建了在回程資源受限下的宏蜂窩/微蜂窩CoMP協(xié)作模型�；谠搮f(xié)作模型,本文通過分析回程資源受限下的CoMP協(xié)作傳輸容量,提出了一種通用的對偶二分法優(yōu)化算法以獲得最優(yōu)的頻譜和功率分配方案。仿真結(jié)果顯示,所提算法可以有效提升回程資源受限下的CoMP協(xié)作增益,當(dāng)宏用戶靠近微蜂窩時,所提算法可以在保障宏用戶最低速率需求下,進(jìn)一步提升微蜂窩的系統(tǒng)容量。 綜上所述,本文以實(shí)現(xiàn)異構(gòu)認(rèn)知無線網(wǎng)絡(luò)融合為目標(biāo),研究了接入控制、傳輸控制以及回程資源受限下的異構(gòu)認(rèn)知無線網(wǎng)絡(luò)融合等關(guān)鍵問題。通過對上述幾個關(guān)鍵問題的數(shù)學(xué)建模與分析,提出了相應(yīng)的解決方案,并通過仿真驗(yàn)證了所提方案的可行性與有效性。本文所提方案可以有效促進(jìn)異構(gòu)認(rèn)知無線網(wǎng)絡(luò)融合,提升頻譜資源利用效率,其研究成果可以為下一代異構(gòu)無線網(wǎng)絡(luò)的規(guī)劃與部署提供一定的理論基礎(chǔ),對于未來國家實(shí)現(xiàn)異構(gòu)無線網(wǎng)絡(luò)融合具有積極的推動作用。
[Abstract]:At present, with the continuous development of wireless communication technology and the increasing demand for user communication, the wireless communication network has developed into a heterogeneous wireless network with different bandwidth, mode, access mode and coverage. However, the traditional static network work mode leads to the independence of information among the heterogeneous networks, and the resources can not be shared. And the low utilization rate of spectrum seriously restricts the development of wireless network. Heterogeneous cognitive wireless network, based on cognitive technology, can realize information sharing and resource interoperability among networks and promote network integration through effective cognition of heterogeneous environment and autonomous decision control of network. Therefore, a number of heterogeneous cognitive wireless networks are studied. The key technology is of great significance for improving spectrum efficiency and promoting the development of wireless communication network.
This paper first summarizes the development trend of heterogeneous cognitive wireless network, introduces the current research status at home and abroad, and deeply analyzes the opportunities and challenges facing heterogeneous cognitive wireless network access control, transmission control and heterogeneous network integration under the limited return resource. Firstly, based on the link layer of heterogeneous cognitive wireless network, the access control technology of multi link / single chain heterogeneous users is studied in order to maximize system capacity. On this basis, the link layer and transmission layer are considered, and the cross layer multi link transmission control technology is studied at the end to end to end efficiency. Finally, the multi link transmission control technology is studied. This paper analyzes the impact of backhaul resource constraints on heterogeneous cognitive wireless network integration, and focuses on the research of heterogeneous cognitive wireless network fusion technology under the limited return resource.
In terms of the access control of heterogeneous cognitive wireless networks, this paper constructs a multi-dimensional optimization model of the joint network access selection, spectrum and power allocation for multi link / single chain heterogeneous users, and proposes an optimal algorithm to decompose the original problem into multiple sub problems by using dual decomposition. It shows that the proposed algorithm can approximate the optimal performance, and has good compatibility and effectively improves the system capacity in the multi link / single chain heterogeneous user mixed scenario. On this basis, this paper further extends the research scene to the OFDM scene, and constructs the joint network access selection, subcarrier and work considering the imperfect channel perception. In order to solve the multidimensional integer nonlinear programming problem, this paper puts forward a problem that first relaxes the original problem to a linear programming problem, and then completes the network access selection, subcarrier and power allocation optimization based on the optimal solution after relaxation. The simulation results show that the proposed algorithm can be effectively controlled. The interference of authorized network will enhance the capacity of heterogeneous cognitive radio network.
In the aspect of transmission control of heterogeneous cognitive wireless networks, this paper constructs a cross layer multi link transmission control optimization model with the goal of end to end efficiency promotion. In order to effectively solve the optimization problem, the original optimization problem is decomposed to link layer and transmission in order to effectively solve the optimization problem. In two layers, a cyclic iterative optimization algorithm for link layer power / spectrum allocation and transmission layer dynamic traffic diversion is proposed. The simulation results show that the proposed cyclic iterative optimization algorithm has better convergence and stability, and the proposed scheme can greatly reduce the end to end of the session when the end to end session traffic is large. Delay can effectively enhance user experience in heterogeneous cognitive wireless networks.
In the aspect of heterogeneous cognitive wireless network fusion under the limited return resource, this paper analyzes the impact of backhaul resource constraints on heterogeneous cognitive wireless network integration. On this basis, this paper constructs a macro cellular / microcellular CoMP association under the limited backhaul resource constrained by the hierarchical heterogeneous cognitive wireless network. Based on this model, a general dual dichotomy optimization algorithm is proposed to obtain the optimal spectrum and power allocation scheme by analyzing the CoMP cooperative transmission capacity under the limited return resource. The simulation results show that the proposed algorithm can effectively improve the CoMP cooperation gain under the limited backhaul resource, when the macro users rely on the proposed algorithm. In the case of near micro cell, the proposed algorithm can further enhance the capacity of microcellular systems while guaranteeing the minimum user speed requirement.
To sum up, in order to realize the integration of heterogeneous cognitive wireless networks, this paper studies the key problems of the integration of heterogeneous cognitive wireless networks, such as access control, transmission control and backhaul resource constraints. Through the mathematical modeling and analysis of the key problems mentioned above, the corresponding solutions are proposed and verified by simulation. The proposed scheme can effectively promote the fusion of heterogeneous cognitive wireless networks and improve the efficiency of spectrum resource utilization. The research results can provide a theoretical basis for the planning and deployment of the next generation isomeric wireless network, and have a positive action for the future national integration of heterogeneous wireless networks. Use.

【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

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 ;Joint Efforts to Combat Transnational Crime[J];China & Africa;2012年10期

2 ;Q-learning based heterogenous network self-optimization for reconfigurable network with CPC assistance[J];Science in China(Series F:Information Sciences);2009年12期

3 許文俊;林家儒;馮志勇;徐文波;張平;;認(rèn)知無線網(wǎng)絡(luò)中的認(rèn)知流(英文)[J];中國通信;2013年10期

4 魏翼飛;滕穎蕾;王莉;宋梅;王小軍;;認(rèn)知無線電網(wǎng)絡(luò)中具有服務(wù)逋量保障的節(jié)能動態(tài)接入策略（英文）[J];中國通信;2013年12期

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本文編號：1808836