本文選題：毫微微蜂窩網(wǎng)絡(luò)　切入點(diǎn)：博弈論　出處：《燕山大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：毫微微蜂窩又稱(chēng)為Femtocell、家庭基站，是用戶(hù)安裝在室內(nèi)的無(wú)線(xiàn)數(shù)據(jù)接入點(diǎn)，具有低成本、低功耗和短距離通信的特點(diǎn)。它的安裝旨在提高室內(nèi)覆蓋，更好的實(shí)現(xiàn)數(shù)據(jù)和語(yǔ)音通信。然而它的安裝卻帶來(lái)了嚴(yán)重的干擾問(wèn)題。另外，頻譜的分配、接入的優(yōu)先級(jí)、安裝的密集程度以及不同服務(wù)質(zhì)量的要求也會(huì)影響雙層毫微微蜂窩網(wǎng)絡(luò)的性能。在頻譜共享機(jī)制下，博弈論是解決優(yōu)化與干擾控制問(wèn)題的行之有效的數(shù)學(xué)工具。 本文首先針對(duì)集中式功率控制方法難以實(shí)施和已有的功率控制算法難以聯(lián)合控制功率與優(yōu)化毫微微蜂窩網(wǎng)絡(luò)性能的問(wèn)題，，研究了基于非合作博弈的毫微微蜂窩網(wǎng)絡(luò)的分布式功率控制方案。把宏基站所能承受的干擾功率限制作為可分配的資源，毫微微蜂窩以非合作博弈的方式競(jìng)爭(zhēng)該資源，并證明了納什均衡的存在性和唯一性，提出了功率調(diào)整和用戶(hù)選擇算法。仿真結(jié)果證明了算法的有效性，系統(tǒng)的吞吐量得到有效的提高。 其次針對(duì)毫微微蜂窩被密集安裝時(shí)同時(shí)存在同層干擾和跨層干擾的問(wèn)題，提出了基于Stackelberg博弈的毫微微蜂窩網(wǎng)絡(luò)的分布式功率控制策略。宏蜂窩基站和毫微微蜂窩基站分別作為Stackelberg博弈的領(lǐng)導(dǎo)者和跟隨者。設(shè)置宏基站的懲罰函數(shù)，通過(guò)最優(yōu)化宏基站的效用來(lái)獲得最優(yōu)的干擾閾值。毫微微蜂窩之間以虛擬博弈的方式來(lái)控制同層干擾，并提出了一個(gè)分布式功率控制算法。仿真結(jié)果表明，該方法要優(yōu)于非合作博弈的方法，網(wǎng)絡(luò)的性能得到了提高。 最后假定毫微微蜂窩用戶(hù)的功率恒定，從信道分配的角度提出了基于NBS的分簇毫微微蜂窩網(wǎng)絡(luò)的帶寬分配方法。毫微微蜂窩根據(jù)建立的干擾權(quán)重表進(jìn)行分簇。為了滿(mǎn)足毫微微蜂窩的最小需求，利用NBS的方法分配不同的帶寬給各個(gè)簇。仿真結(jié)果表明，基于NBS的帶寬分配要優(yōu)于平均帶寬分配，毫微微蜂窩之間的同層干擾能夠得到抑制，網(wǎng)絡(luò)的SINR得到了提高。
[Abstract]:Femto cell, also known as Femto cell, is a wireless data access point installed indoors by users, with features of low cost, low power consumption and short range communication. Better implementation of data and voice communication. However, its installation has caused serious interference problems. In addition, the allocation of spectrum, the priority of access, The density of installation and the requirement of different quality of service will also affect the performance of double-layer femto cellular network. Game theory is an effective mathematical tool to solve the problem of optimization and interference control under the spectrum sharing mechanism. In this paper, first of all, it is difficult to implement centralized power control methods and it is difficult for existing power control algorithms to control power jointly and optimize the performance of femtosecellular networks. In this paper, the distributed power control scheme based on non-cooperative game is studied. The interference power limit that the base station can bear is regarded as the distributable resource, and the femtosecellular competes with the resource by non-cooperative game. The existence and uniqueness of Nash equilibrium are proved, and the power adjustment and user selection algorithms are proposed. The simulation results show that the algorithm is effective and the throughput of the system is improved effectively. Secondly, aiming at the problem of the same layer interference and cross layer interference in the dense installation of the femto honeycomb, This paper proposes a distributed power control strategy for femto cellular network based on Stackelberg game. The macro cellular base station and the femto cell base station act as the leader and follower of the Stackelberg game respectively. The penalty function of the macro base station is set up. The optimal interference threshold is obtained by optimizing the utility of the macro base station. The interference of the same layer is controlled by virtual game between the femto cells. A distributed power control algorithm is proposed. The simulation results show that, This method is superior to the non-cooperative game method, and the performance of the network is improved. Finally, assuming that the power of the femto cellular user is constant, From the point of view of channel assignment, this paper proposes a bandwidth allocation method for clustered femtocellular networks based on NBS. In order to meet the minimum requirement of femto cellular, femtosecells are clustered according to the established interference weight table. The simulation results show that the bandwidth allocation based on NBS is better than the average bandwidth allocation, the same layer interference between femto cells can be suppressed, and the SINR of the network is improved.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN929.5

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本文編號(hào)：1590267