认知网络干扰效率最大稳健功率与子载波分配算法

doi:10.11959/j.issn.1000-436x.2020007

Abstract

Abstract:

For the cognitive OFDMA uplink communication system,a robust power and subcarrier allocation algorithm based on maximum interference efficiency was proposed.Firstly,considering primary user interference constraint,secondary user transmit power constraint,subcarrier allocation constraint and secondary user minimum rate constraint,a robust resource optimization model based on outage probability was established.Then,by using Bernstein approximation and Dinkelbach’s method,the original non-convex problem based on outage probability was transformed into an equivalent convex optimization one,and the analytical solution was obtained by Lagrangian dual function method.Meanwhile,the computational complexity and robust sensitivity of the algorithm were analyzed.The simulation results show that the proposed algorithm has better interference efficiency and robustness.

Key words: cognitive radio network, interference efficiency, robust resource allocation, OFDMA

CLC Number:

TN918.82

Yongjun XU,Yang YANG,Qilie LIU,Qianbin CHEN,Jinzhao LIN. Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization[J]. Journal on Communications, 2020, 41(1): 84-93.

Figures/Tables 8

符号	定义	符号	定义
K	次用户数量	M	主用户数量
N	子载波数量	B_e	每个子载波的带宽
x _nk	子载波分配因子	σ_n	第n 个子载波上的背景噪声功率
$p_{k}^{\max}$	第k 个次用户的最大发射功率阈值	$R_{k}^{\min}$	第k 个次用户的最小数据速率阈值
ε_m	第m 个主用户的中断概率门限	υ_k	第k 个次用户的中断概率门限
Q_m	第m 个主用户的干扰功率阈值	p _nk	第k 个次用户在第n 个子载波上的发射功率
h _nk	第k个次用户在第n个子载波上的信道增益	$g_{n k}^{m}$	第k 个次用户到第m 个主用户在第n 个子载波上的信道增益
σ_nk	第k个次用户在第n个子载波上的传输增益信道估计误差	$σ_{n k}^{m}$	第k 个次用户到第m 个主用户在第n 个子载波上的干扰增益信道估计误差

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Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization

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