【摘要】：對第5代無線通信而言,頻譜效率和能源效率已經(jīng)成為衡量無線通信系統(tǒng)性能的兩個關(guān)鍵指標.研究了多小區(qū)多用戶下行鏈路的資源效率最大化問題,其中資源效率定義為頻譜效率和能源效率的加權(quán)和.干擾信道的用戶速率是一個非凸函數(shù),因此所研究的優(yōu)化問題也是一個非凸優(yōu)化問題.利用分數(shù)規(guī)劃理論和用戶速率與最小均方誤差間的關(guān)系,將原優(yōu)化問題轉(zhuǎn)換成一個易于求解的優(yōu)化問題.針對所獲得的轉(zhuǎn)換問題,提出一種分層迭代交替優(yōu)化算法,并證明算法的收斂性.數(shù)值仿真表明了所提算法的有效性.
[Abstract]:For the fifth generation wireless communication, spectrum efficiency and energy efficiency have become two key indicators to measure the performance of wireless communication systems. In this paper, the problem of resource efficiency maximization for multi-cell and multi-user downlink is studied, in which resource efficiency is defined as the weighted sum of spectral efficiency and energy efficiency. The user rate of interference channel is a non-convex function, so the optimization problem is also a non-convex optimization problem. By using the fractional programming theory and the relationship between the user rate and the minimum mean square error, the original optimization problem is transformed into an optimization problem that is easy to solve. A hierarchical iterative alternating optimization algorithm is proposed to solve the transformation problem and the convergence of the algorithm is proved. Numerical simulation shows the effectiveness of the proposed algorithm.
【作者單位】： 東南大學(xué)信息科學(xué)與工程學(xué)院;池州學(xué)院機電工程學(xué)院;桂林電子科技大學(xué)認知無線電與信息處理教育部重點實驗室;
【基金】：國家自然科學(xué)基金(No.61471120,No.61372101) 國家科技重大專項基金(No.2013ZX03003006-02) 安徽省高校自然科學(xué)研究基金(No.KJ2015A198) 桂林電子科技大學(xué)“認知無線電與信息處理”教育部重點實驗室開放基金(No.CRKL160203)資助
【分類號】：TN929.5
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本文編號：2191663