针对MQAM调制，采用变步长的贪婪算法得到优化的子信道比特加载及功率分配方案。
For MQAM modulation, the optimized bit loading and power allocation were derived from a various-step greedy algorithm.
通过对OFDM的子信道比特分配空间进行分析，本文提出着眼于误比特概率梯度的动态lms算法和全局优化算法。
In this paper, dynamical LMS algorithm and global optimization algorithm, with a view to gradient of error probability, are proposed based on analysis of sub-carries allocation space for OFDM system.
基于子载波边际效用，提出了一种针对实时业务的资源优化分配算法，在满足其传输速率和误比特率的前提下，有效地降低了系统所需要的发射功率。
After that, a resource optimization method for real-time traffics is proposed, which minimizes the required transmit power while guaranteeing the QoS requirement of real-time traffics.
基于子载波边际效用，提出了一种针对实时业务的资源优化分配算法，在满足其传输速率和误比特率的前提下，有效地降低了系统所需要的发射功率。
After that, a resource optimization method for real-time traffics is proposed, which minimizes the required transmit power while guaranteeing the QoS requirement of real-time traffics.
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