認(rèn)知無線網(wǎng)絡(luò)中時(shí)域機(jī)會(huì)頻譜接入策略研究
發(fā)布時(shí)間:2018-02-16 10:25
本文關(guān)鍵詞: 認(rèn)知無線網(wǎng)絡(luò) 時(shí)域機(jī)會(huì)頻譜接入 Q學(xué)習(xí) 周期性感知 請(qǐng)求數(shù)據(jù)包長(zhǎng)度 序貫決策 能量有效性 出處:《解放軍信息工程大學(xué)》2014年碩士論文 論文類型:學(xué)位論文
【摘要】:隨著無線通信業(yè)務(wù)的迅猛發(fā)展,現(xiàn)有無線頻譜資源分配殆盡加之傳統(tǒng)靜態(tài)頻譜分配方式頻譜利用率較低,造成了目前無線頻譜資源的危機(jī)。基于認(rèn)知無線電的時(shí)域機(jī)會(huì)頻譜接入技術(shù)能夠在避免對(duì)主用戶產(chǎn)生有害干擾的前提下,“伺機(jī)”接入空閑頻段對(duì)其進(jìn)行二次利用,進(jìn)而提高頻譜資源的利用率。然而,次用戶如何動(dòng)態(tài)接入短暫、可變的頻譜機(jī)會(huì)使得時(shí)域機(jī)會(huì)頻譜接入技術(shù)面臨一系列新的挑戰(zhàn),為了能有效地發(fā)現(xiàn)并合理利用無線頻譜機(jī)會(huì),本文對(duì)認(rèn)知無線網(wǎng)絡(luò)中的時(shí)域機(jī)會(huì)頻譜接入策略展開研究,主要工作如下:1.在時(shí)隙主網(wǎng)絡(luò)中,為了提高次用戶在未知環(huán)境先驗(yàn)知識(shí)條件下的機(jī)會(huì)頻譜接入收益,給出了一種基于Q學(xué)習(xí)的信道選擇算法。該算法克服了傳統(tǒng)信道選擇算法對(duì)環(huán)境先驗(yàn)知識(shí)的依賴性,使得智能體能夠通過與未知環(huán)境不斷的交互、學(xué)習(xí),選擇長(zhǎng)期累積回報(bào)最大的信道接入。在學(xué)習(xí)過程中,算法綜合考慮所選信道的業(yè)務(wù)負(fù)載和信噪比對(duì)回報(bào)函數(shù)的影響,同時(shí)引入Boltzmann實(shí)驗(yàn)策略,運(yùn)用模擬退火思想實(shí)現(xiàn)了資源探索與資源利用之間的折衷。仿真結(jié)果表明,所給算法能夠有效提高次用戶的接入吞吐量和接入信道的平均信道容量。2.在非時(shí)隙主用戶網(wǎng)絡(luò)中,為了優(yōu)化次用戶機(jī)會(huì)頻譜接入時(shí)間,提高次用戶的接入吞吐量,研究了次用戶在周期性感知框架下的機(jī)會(huì)頻譜接入問題。通過建立次用戶信道感知、接入模型,詳細(xì)推導(dǎo)了非時(shí)隙主網(wǎng)絡(luò)中次用戶空閑時(shí)長(zhǎng)的概率表達(dá)式,進(jìn)而提出了有效傳輸吞吐量的概念,以此為優(yōu)化目標(biāo),給出一種基于次用戶業(yè)務(wù)請(qǐng)求數(shù)據(jù)包長(zhǎng)度的機(jī)會(huì)頻譜接入算法。該算法在選擇可用頻譜時(shí)考慮本時(shí)隙次用戶傳輸數(shù)據(jù)包長(zhǎng)度的大小,自適應(yīng)選擇滿足空閑時(shí)長(zhǎng)的可用頻譜接入。仿真結(jié)果表明,所給算法能夠在碰撞約束要求較高情況下提高次用戶平均有效傳輸吞吐量的同時(shí),實(shí)現(xiàn)有效吞吐量與碰撞概率的折衷;同時(shí)當(dāng)外部環(huán)境發(fā)生變化時(shí)算法具有較強(qiáng)的魯棒性。3.在非時(shí)隙主用戶網(wǎng)絡(luò)中,為了提高次用戶的能量有效性,基于序貫決策理論給出了一種新的自適應(yīng)機(jī)會(huì)頻譜接入算法。該算法以最大化次用戶能量有效性為目標(biāo),通過建立感知接入聯(lián)合優(yōu)化模型,使得次用戶能夠以較優(yōu)的信道感知時(shí)間和傳輸功率接入信道。同時(shí),在功率控制過程中引入次用戶請(qǐng)求數(shù)據(jù)包長(zhǎng)度,使得傳輸功率可以基于數(shù)據(jù)包長(zhǎng)度自適應(yīng)控制。上述目標(biāo)優(yōu)化問題求解過程中,借助于非線性分式規(guī)劃理論將其轉(zhuǎn)化為線形規(guī)劃問題,并運(yùn)用二分搜索算法尋求最優(yōu)解。仿真結(jié)果表明,所給算法能夠?qū)崿F(xiàn)感知性能和感知能耗的折衷,有效提高次用戶的能量有效性。4.在VS2010編程平臺(tái)上借鑒分層模塊化設(shè)計(jì)思想,實(shí)現(xiàn)了機(jī)會(huì)頻譜接入策略仿真測(cè)試平臺(tái),搭建了不同主用戶業(yè)務(wù)模型下的網(wǎng)絡(luò)環(huán)境,進(jìn)而仿真評(píng)估了前面章節(jié)給出的機(jī)會(huì)頻譜感知策略,接入策略。測(cè)試結(jié)果表明本平臺(tái)具有一定的實(shí)用性和可靠性。
[Abstract]:With the rapid development of wireless communication services, the existing wireless spectrum resource allocation. In addition to the traditional static spectrum allocation of spectrum utilization rate is low, resulting in the current crisis of wireless spectrum resources. Time domain opportunities for cognitive radio spectrum access technology can avoid the premise of harmful interference to primary users based on the "opportunistic" access to the free band it used for the two time, and improve the utilization of spectrum resources. However, the secondary users how to dynamically access short variable time domain spectrum opportunity makes opportunistic spectrum access technology is facing a series of new challenges, in order to effectively discover and rational use of wireless spectrum opportunity, this paper studies the time opportunity in cognitive radio network spectrum access strategy, the main work is as follows: 1. in the time slot in the primary network, in order to improve the secondary users in an unknown environment prior knowledge of machine Spectrum access revenue, presents a channel selection algorithm based on Q learning. The algorithm overcomes the traditional channel selection algorithm on a priori knowledge of the environment dependence, making the agent through learning and interaction, the unknown environment constantly, choose a long-term cumulative return maximum channel access. In the learning process, the algorithm considers the selected channel traffic load and the effect of SNR on return function, while the introduction of Boltzmann experimental strategy with simulated annealing approach and explore the tradeoff between resource utilization. The simulation results show that the algorithm can effectively improve the throughput of secondary users access and access channel of the average channel capacity of.2. in unslotted primary users in the network, to the user the opportunity spectrum access time optimization, improve the throughput of secondary users, the secondary users know under the framework of the machine cycle in sexy Will the spectrum access problem. Through the establishment of user access channel sensing model, deduced the probability expression of unslotted primary network of secondary users in spare time, and then put forward the concept of effective transmission throughput, as the optimization goal, an algorithm based on user service request opportunity spectrum access algorithm of data packet length. The algorithm considers the time slot users transmit data packet length size in the choice of the available spectrum, the adaptive selection of the available spectrum access to meet the idle duration. The simulation results show that the algorithm can in collision constraint to improve the user under the condition of higher average effective transmission throughput at the same time, realize the effective throughput and collision probability tradeoff at the same time; when the external environment changes when the algorithm has stronger robustness to.3. in unslotted primary users in the network, in order to improve the energy efficiency of the secondary user, A new adaptive opportunistic spectrum access algorithm based on sequential decision theory is proposed to maximize the user energy efficiency as the goal, through the establishment of joint optimization models of perceptual access, makes users to better channel sensing time and power transmission access channel. At the same time, the introduction of a user request packet length the power control process, which makes the transmission power can be based on data packet length adaptive control. The optimization problem solving process, based on the theory of nonlinear fractional programming is transformed into linear programming problem, and use the two point search algorithm to seek the optimal solution. The simulation results show that the algorithm can achieve the sensing performance and perceived energy compromise.4., effectively improve the energy efficiency of the secondary users in the VS2010 programming platform using hierarchical modular design, realizes the opportunistic spectrum access strategy A simulation test platform is built, and the network environment under different main user business models is built. Then the opportunistic spectrum sensing strategy and access strategy presented in the preceding chapters are simulated and evaluated. The test results show that the platform is practical and reliable.
【學(xué)位授予單位】:解放軍信息工程大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN925
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