CAJ | 학술논문

针对高斯干扰信道,该文提出一种基于最大最小公平性的译码次序新算法.该算法通过采用速率分裂技术来提高系统和速率.基于该算法,推导出和速率近似最大的速率分裂层数表达式.数值结果表明,在一定干扰强度范围内的两用户对称高斯干扰信道中,采用该译码次序新算法得到的和速率较已有的贪婪算法得到的和速率有明显提高,并随着干扰强度的增加,其和速率逼近 Sason 给出的和速率内界.
침대고사간우신도,해문제출일충기우최대최소공평성적역마차서신산법.해산법통과채용속솔분렬기술래제고계통화속솔.기우해산법,추도출화속솔근사최대적속솔분렬층수표체식.수치결과표명,재일정간우강도범위내적량용호대칭고사간우신도중,채용해역마차서신산법득도적화속솔교이유적탐람산법득도적화속솔유명현제고,병수착간우강도적증가,기화속솔핍근 Sason 급출적화속솔내계.
This paper proposes a novel algorithm for determination of decoding order for the Gaussian Interference Channel (GIC) based on max-min fairness. The algorithm is developed using rate-splitting technique to improve the sum-rate of GIC. Based on the proposed algorithm, an expression of the number of rate-splitting is derived to make the sum-rate approach the maximum value in two-user GIC. Numerical results show that, in the two-user symmetric GIC, the proposed decoding order algorithm improves significantly the performance over the greedy algorithm on the two-user symmetrical GIC within a wide range of channel coefficients, and the sum-rate of the proposed scheme can approach the inner bound of Sason as increasing the interference factor on two-user symmetric GIC.