这套系统每秒具有50G比特的信息传输量，足以在1秒钟内完成一部全光高清电影传输。
The system can carry data at a rate of 50 gigabytes per second, enough to transfer a full-length HD movie in less than a second.
为了更好的降低系统传输信息的误比特率(BER)，本文针对TD - SCDMA系统的功率控制模块，研究一种适用于反向链路的自适应功率控制算法。
In order to decrease the Bit Error Rate (BER) of transmission information, this paper studies an adaptive power control algorithm for uplink against the power control module of TD-SCDMA system.
结果表明，该算法在误码率性能上明显优于等比特分配算法，也减少了系统的传输功率。
The result shows that this algorithm is better than that of constant bit rate distribution on the performance of error rate in the addition of reducing the transmission power of system.
提出传输速率和传输性能一定条件下的动态比特分配算法系统模型，研究其在OFDM系统中的应用。
A new DAB algorithm model with constraints of given transmission rate and QoS requirement is proposed in the paper, as well as be applied to OFDM system.
分析了多音传输系统的信道容量，在两种比特分配算法的基础上提出了一种简化的比特分配算法，并给出了不同信道下的仿真结果。
The channel capacity of multitone systems is analyzed. Based on two bit allocation algorithms, a simple bit allocation algorithm is proposed, and simulation results over different channels are given.
实验结果表明，所提出的空频二维自适应调制算法可以在保证系统目标传输速率和目标误比特率的前提下，进一步减小系统所需要的平均发射功率。
The simulation results show that the proposed algorithm can reduce the overall transmission power further while the target transmission rate and bit error rate are met.
利用自适应技术，根据信道实际状态自适应比特装载和功率控制，可以进一步提高系统传输性能。
The performance can be improved more by using adaptive bit loading and power control to match the current channel state.
单载波及多载波太比特光传输系统；
Terabit/s multi-carrier / single-carrier optical transmission systems.
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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