基于服务质量的LTE增值业务下行跨层调度算法

针对LTE系统如何实现不同增值业务用户速率的问题,提出一种优化型比例公平(PF)算法。该算法在用户签约速率不能实现时,考虑信道条件、付费等级和满意度,同时通过引入业务服务质量(QoS)特征函数合理调度付费用户,从而实现各付费等级对应的用户速率。在Matlab环境中进行仿真,其中优化型算法在满意度、有效吞吐量方面优于传统PF算法。与PF算法相比,优化型算法使付费用户间满意度均值相差约26%,有效吞吐量均值提升约17%。仿真结果表明,优化型算法在保证多业务服务质量的前提下,可以实现各付费用户的感知平均速率,保障不同付费用户满意度,并提高系统有效吞吐量。

LTE downlink cross-layer scheduling algorithm based on QoS for value-added service

Aiming at the problem that how to achieve the different value-added service users' rates in the Long Term Evolution (LTE) system, an optimization Proportional Fairness (PF) algorithm was proposed. Considering channel conditions, pay level and satisfaction, this optimization PF algorithm with QoS-aware service's eigenfunction could properly schedule the paying users under the situation that the paid rates could not be achieved. So it could achieve the different paying levels of rates. Simulations were conducted in Matlab environment. In the simulations, the optimization PF algorithm performed better than traditional PF in satisfaction and effective throughput. Compared with traditional PF algorithm, the difference of average satisfaction between paying users was about 26%, and the average effective throughput increased by 17%. The simulation results indicate that, under the premise of QoS in multi-service, the optimization algorithm can achieve the different users' perceived average rates, guarantee the satisfaction among the different paying parties and raise the effective throughput of system.