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【通信】两层无线 Femtocell 网络上行链路中的最优功率分配附matlab代码

时间:2022-07-07 来源: 浏览:

【通信】两层无线 Femtocell 网络上行链路中的最优功率分配附matlab代码

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1 简介

In this thesis, the problem of efficient power allocation in the uplink of two-tier closed-access femtocell networks is addressed. Specifically, a single CDMA macrocell is assumed, where Ν femtocells reside within the macrocell. Within the proposed framework, which supports multiple services, appropriate utility functions are adopted to reflect users’ degree of satisfaction with respect to their actual throughput requirements and the corresponding power consumption. The overall problem is formulated as a non-cooperative game where users aim selfishly at maximizing their utility-based performance while taking into account the interference caused by both the CDMA macrocell and the neighbouring femtocells.

The existence and uniqueness of a Nash equilibrium point of the proposed Multi Service Two-Tier Power Control Game with Pricing (MTTPG) is proven, at which all users have achieved a targeted SINR threshold value or transmit with their maximum power, leading essentially to an SINR-balanced system. Moreover, a distributed iterative algorithm for reaching MTTPG game’s equilibrium is provided. Finally, the operational effectiveness of the proposed approach is evaluated through modeling and simulation, while its superiority is illustrated via presenting various scenarios of the proposed framework.

The surest way to increase the system capacity of a wireless link is by getting the transmitter and receiver closer to each other, which creates the dual benefits of higher quality links and more spatial reuse. In a network with nomadic users, this inevitably involves deploying more infrastructure, typically in the form of microcells, hotspots, distributed antennas, or relays. A less expensive alternative is the recent concept of femtocells – also called home base-stations (HBS), home node-stations (HNB) or FAPs (Femto Access Points) – which are data access points installed by home users to get better indoor voice and data coverage

 

2 部分代码

% NTUA Thesis code % John Zobolas, May 2013 function femtopower format long; global results; results = cell(1,10); % the "standard" coordinates of the FAPs x = [200 400 400 700 600 600 300 850 800 200 600 800 500 200 100 400 700 900]; y = [500 300 600 600 800 200 800 400 800 200 400 200 900 700 350 100 300 550]; % Uncomment the below to get a random placement of the FAPs inside the Macrocell %x = randi([150 850],1,30); %y = randi([150 850],1,30); %length(x) = 18; xf = zeros(1,36); yf = zeros(1,36); for i=1:18 while true random = 2*randi([-18 18],1,4); if all(random) % no zeros break; end end xf(2*i-1) = x(i)+random(1);% NRT users yf(2*i-1) = y(i)+random(2); xf(2*i) = x(i)+random(3);% RT users yf(2*i) = y(i)+random(4); end end function circle(x,y,r,color) th = 0:pi/500:2*pi; xunit = r * cos(th) + x; yunit = r * sin(th) + y; plot(xunit, yunit, color); end

3 仿真结果

4 参考文献

[1]郑成锵. Femtocell双层网络中上行链路功率控制方法的研究[D]. 南京邮电大学.

博主简介:擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真,相关matlab代码问题可私信交流。

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