本文選題：認(rèn)知無線網(wǎng)絡(luò)　切入點(diǎn)：頻譜分配策略　出處：《燕山大學(xué)》2014年博士論文

【摘要】：近年來，隨著無線通信業(yè)務(wù)的飛速發(fā)展，網(wǎng)絡(luò)運(yùn)行環(huán)境愈發(fā)復(fù)雜多變，頻譜短缺問題日益嚴(yán)重。作為一種能夠有效解決頻譜短缺問題的新技術(shù)，認(rèn)知無線網(wǎng)絡(luò)應(yīng)運(yùn)而生。在認(rèn)知無線網(wǎng)絡(luò)中，頻譜分配策略著眼于為網(wǎng)絡(luò)中的兩類用戶，授權(quán)用戶與認(rèn)知用戶，進(jìn)行合理的頻譜資源分配，最大程度地減少時間和空間上的頻譜空穴。本論文致力于認(rèn)知無線網(wǎng)絡(luò)中頻譜分配策略的研究，面向不同的網(wǎng)絡(luò)需求與應(yīng)用，從接納控制與傳輸控制出發(fā)，研究動態(tài)頻譜分配策略，基于隨機(jī)理論進(jìn)行頻譜分配策略的數(shù)學(xué)建模與系統(tǒng)優(yōu)化。 首先，為了緩解網(wǎng)絡(luò)擁塞并提高認(rèn)知用戶的響應(yīng)性能，對大量無制約的認(rèn)知用戶的數(shù)據(jù)接入進(jìn)行接納控制，提出一種基于接入閾值與接入概率的頻譜分配策略。通過建立帶有可變輸入率的優(yōu)先權(quán)排隊模型，考察接入閾值對系統(tǒng)性能的影響。建立收益函數(shù)，給出針對接入閾值的優(yōu)化設(shè)置方案。 其次，為了平衡認(rèn)知用戶的吞吐量和響應(yīng)性能，對被中斷傳輸?shù)恼J(rèn)知用戶數(shù)據(jù)包引入接納控制機(jī)制，提出一種基于中斷數(shù)據(jù)包反饋機(jī)制的頻譜分配策略。通過建立帶有重試機(jī)制的優(yōu)先權(quán)排隊模型，揭示重試概率對系統(tǒng)性能的影響。建立收益函數(shù)，給出針對重試概率的優(yōu)化設(shè)置方案。 再次，為了滿足認(rèn)知用戶數(shù)據(jù)并行接入的需求，對多個認(rèn)知用戶同時產(chǎn)生的數(shù)據(jù)傳輸請求進(jìn)行接納控制，提出一種基于并行接入控制的頻譜分配策略。通過建立帶有多輸入流的優(yōu)先權(quán)排隊模型，刻畫認(rèn)知用戶緩存容量對系統(tǒng)性能的影響。建立收益函數(shù)，給出針對認(rèn)知用戶緩存容量的優(yōu)化設(shè)置方案。 然后，為了有效節(jié)省網(wǎng)絡(luò)資源，在系統(tǒng)內(nèi)無任何數(shù)據(jù)傳輸請求的情況下，周期性地關(guān)閉部分信道進(jìn)行數(shù)據(jù)傳輸控制，提出一種基于動態(tài)信道關(guān)閉機(jī)制的頻譜分配策略。通過建立帶有工作休假的優(yōu)先權(quán)排隊模型，分析信道關(guān)閉比例對系統(tǒng)性能的影響。建立收益函數(shù)，給出針對信道關(guān)閉比例的優(yōu)化設(shè)置方案。 最后，為了獲得更加穩(wěn)定的系統(tǒng)響應(yīng)性能，根據(jù)系統(tǒng)內(nèi)的數(shù)據(jù)包個數(shù)動態(tài)地決定激活信道的個數(shù)，，同時對激活的信道進(jìn)行聚合操作實(shí)現(xiàn)數(shù)據(jù)傳輸控制，提出一種基于動態(tài)信道聚合機(jī)制的頻譜分配策略。通過建立帶有可變服務(wù)率的優(yōu)先權(quán)排隊模型，評估認(rèn)知用戶緩存容量對系統(tǒng)性能的影響。針對認(rèn)知用戶的系統(tǒng)接入行為進(jìn)行博弈分析，并給出一個定價方案以實(shí)現(xiàn)社會最優(yōu)。
[Abstract]:In recent years, with the rapid development of wireless communication services, the network operating environment is becoming more complex and changeable, and the problem of spectrum shortage is becoming more and more serious. As a new technology, it can effectively solve the problem of spectrum shortage. Cognitive wireless networks emerge as the times require. In cognitive wireless networks, spectrum allocation strategies focus on the rational allocation of spectrum resources for two types of users, authorized users and cognitive users. This thesis is devoted to the study of spectrum allocation strategy in cognitive wireless networks, which aims at different network requirements and applications, starting from admission control and transmission control. The dynamic spectrum allocation strategy is studied, and the mathematical modeling and system optimization of spectrum allocation strategy based on stochastic theory are carried out. Firstly, in order to alleviate network congestion and improve the response performance of cognitive users, a large number of unconstrained cognitive users' data access is admitted and controlled. A spectrum allocation strategy based on access threshold and access probability is proposed. By establishing a priority queuing model with variable input rate, the influence of access threshold on system performance is investigated. The optimal setting scheme for access threshold is presented. Secondly, in order to balance the throughput and response performance of cognitive users, an admission control mechanism is introduced to the interrupted cognitive user packets. A spectrum allocation strategy based on interrupt packet feedback mechanism is proposed. By establishing a priority queuing model with retry mechanism, the influence of retry probability on system performance is revealed. The optimal setting scheme for retry probability is given. Thirdly, in order to meet the requirement of concurrent data access for cognitive users, the data transmission requests generated by multiple cognitive users are admitted and controlled simultaneously. This paper proposes a spectrum allocation strategy based on parallel access control. By establishing a priority queuing model with multiple input streams, the effect of cognitive user cache capacity on system performance is described, and a revenue function is established. A scheme for optimizing the cache capacity of cognitive users is presented. Then, in order to save network resources effectively, when there is no data transmission request in the system, some channels are closed periodically to control the data transmission. A spectrum allocation strategy based on dynamic channel closure mechanism is proposed. By establishing a priority queuing model with working vacation, the influence of channel closure ratio on system performance is analyzed, and a revenue function is established. The optimal setting scheme for channel closure ratio is given. Finally, in order to obtain more stable system response performance, the number of active channels is dynamically determined according to the number of packets in the system, and the data transmission control is realized by aggregating the activated channels. A spectrum allocation strategy based on dynamic channel aggregation mechanism is proposed. This paper evaluates the impact of cognitive user cache capacity on system performance, analyzes the system access behavior of cognitive users, and presents a pricing scheme to achieve social optimization.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TN925

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相關(guān)期刊論文 前1條

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