發(fā)布時間：2018-10-22 10:08

【摘要】：醫(yī)療問題與人們的生活質(zhì)量密切相關(guān),一直以來都是民生關(guān)注的熱點(diǎn)。移動醫(yī)療,一種以移動計算、醫(yī)療傳感和通信技術(shù)為基礎(chǔ)的新型醫(yī)療保健模式,通過使用移動通信技術(shù)來提供醫(yī)療服務(wù)。移動醫(yī)療的出現(xiàn)給優(yōu)化醫(yī)療資源配置、提高醫(yī)療效率與質(zhì)量、降低就診成本等帶來了有效的解決方法。目前,基于移動醫(yī)療的相關(guān)研究已越來越被人們所關(guān)注。因此本文在移動醫(yī)療的背景下討論功率控制問題。功率控制作為通信系統(tǒng)優(yōu)化網(wǎng)絡(luò)資源配置的一項(xiàng)關(guān)鍵技術(shù),可以減少系統(tǒng)內(nèi)信號的相互干擾,使系統(tǒng)容量最大化。與傳統(tǒng)功率控制研究相比,在移動醫(yī)療場景下進(jìn)行功率控制研究其特點(diǎn)和限制條件會有所不同。在移動醫(yī)療場景下使用無線通信會存在一個關(guān)鍵問題,信號的輻射會對醫(yī)療傳感器產(chǎn)生電磁干擾(EMI),且干擾程度隨著通信發(fā)射功率的提高而增加,高水平的電磁干擾可能導(dǎo)致醫(yī)療傳感器的嚴(yán)重故障�；卺t(yī)療傳感器的電磁敏感性,如何進(jìn)行功率控制,在實(shí)現(xiàn)網(wǎng)絡(luò)資源優(yōu)化分配的同時也能保證醫(yī)療傳感器的正常工作,這是本文研究的主要問題。功率控制過程中,由于無線網(wǎng)絡(luò)中的用戶具有自私性,每個用戶都傾向于增大功率來最大化自己的性能,但這種功率的增大會對網(wǎng)絡(luò)中其他用戶造成干擾,并且過大的功率會給醫(yī)療設(shè)備帶來有害的EMI。博弈論作為解決利害沖突的數(shù)學(xué)理論,由于不同場景下的功率控制過程與博弈過程的契合度非常高,所以可以用博弈論的思想來分析功率控制問題。如何運(yùn)用博弈論來解決上述的矛盾問題是本文研究的關(guān)鍵。本文基于移動醫(yī)療背景,以CDMA系統(tǒng)為例,提出兩種在非合作博弈論框架下的功率控制算法以調(diào)度數(shù)據(jù)傳輸。局部功率控制算法,采用基于經(jīng)典博弈論的聯(lián)合功率和速率控制方法,目的是最大化受到電磁干擾約束的每個無線用戶的網(wǎng)絡(luò)效用。全局功率控制算法,采用基于最優(yōu)回報原則的勢博弈論的功率控制方法,目的是在最小化電磁干擾的前提下,引導(dǎo)每個用戶實(shí)現(xiàn)網(wǎng)絡(luò)級最優(yōu)化(近似最優(yōu))。最后我們對兩種算法分別進(jìn)行仿真實(shí)驗(yàn),數(shù)據(jù)結(jié)果表明,兩種算法都能有效地將電磁干擾控制在可接受的范圍內(nèi)。其中我們的局部功率控制算法可以收斂到唯一納什均衡,可以在應(yīng)對移動醫(yī)療環(huán)境變化時實(shí)現(xiàn)不錯的性能;所提出的全局功率控制算法比現(xiàn)有算法有8%的網(wǎng)絡(luò)性能增強(qiáng)。
[Abstract]:Medical problems are closely related to people's quality of life and have always been the focus of people's livelihood. Mobile medicine, a new medical care model based on mobile computing, medical sensing and communication technologies, provides medical services through the use of mobile communication technologies. The emergence of mobile medical treatment has brought effective solutions to optimize the allocation of medical resources, improve the efficiency and quality of medical treatment, and reduce the cost of medical treatment. At present, the related research based on mobile medicine has been paid more and more attention. Therefore, this paper discusses the power control problem in the context of mobile medicine. Power control is a key technology in optimizing network resource allocation in communication system. It can reduce the interferences between signals and maximize the capacity of the system. Compared with the traditional power control research, the research on power control in mobile medical settings will have different characteristics and constraints. The use of wireless communication in mobile medical scenarios will have a key problem. The electromagnetic interference (EMI),) caused by the radiation of the signal will increase with the increase of the transmission power of the communication. High levels of electromagnetic interference may lead to serious malfunction of medical sensors. Based on the electromagnetic sensitivity of the medical sensor, how to control the power, realize the optimal allocation of network resources and ensure the normal operation of the medical sensor is the main problem studied in this paper. In the process of power control, due to the selfishness of users in wireless network, each user tends to increase power to maximize their own performance, but this increase of power will interfere with other users in the network. And too much power can bring harmful EMI. to medical devices As a mathematical theory to solve conflicts of interest game theory can be used to analyze the power control problem because of the high consistency between the power control process and the game process in different scenarios. How to use game theory to solve the above-mentioned contradiction is the key of this paper. Based on the background of mobile medicine and taking CDMA system as an example, this paper presents two power control algorithms in the framework of non-cooperative game theory to schedule data transmission. The local power control algorithm uses a combined power and rate control method based on classical game theory to maximize the network utility of each wireless user constrained by EMI. The global power control algorithm adopts the potential game theory based power control method based on the principle of optimal return. The purpose of the algorithm is to guide each user to achieve network-level optimization (approximately optimal) under the premise of minimizing electromagnetic interference (EMI). Finally, the two algorithms are simulated, and the results show that the two algorithms can effectively control the EMI within an acceptable range. Our local power control algorithm can converge to the unique Nash equilibrium and can achieve good performance when dealing with the change of mobile medical environment. The proposed global power control algorithm has 8% better network performance than the existing algorithms.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN929.5

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本文編號：2286870