无线协作多播系统中基于中断概率的资源优化算法

在基于OFDMA的无线协作多播系统中，当只有用户的平均信道信息可利用时，由于信道瞬时衰落的影响，不能保证所有多播数据成功传输。因此为了达到有效可靠传输的目的，本文采用协作分集技术，创新点在于，提出了在最小化多播传输中断概率时的联合子载波和功率分配优化算法。在子载波分配阶段采用了比例协作子载波分配算法，来实现吞吐量和公平性的折中。在功率分配阶段采用迭代功率分配算法来有效利用有限的功率。仿真结果显示本文提出的协作算法的中断概率明显小于传统非协作算法；在协作算法中有功率分配算法的中断概率小于没有功率分配算法的。因此说本文提出的资源优化算法能很好的克服信道瞬时衰落的影响，保证多播数据的成功传输。

Resource optimization algorithm based on outage probability for wireless cooperative multicast systems

In OFDMA-based wireless cooperative multicast systems, the only allow average channel state information of users to be available. In this system, it is impossible to guarantee successful transmission of every data due to instant deep fading. Hence, in order to achieve efficient and reliable transmission, we exploit cooperative diversity. The innovation idea is that proposes a cooperative joint subcarrier and power allocation scheme that minimizes the probability of multicast transmission failure. We proposed Cooperative Proportional (CP) subcarrier allocation strategy to achieve tradeoff between throughput and fairness and Iterative Power (IP) allocation strategy to fully utilize the limited power. Simulation results showed that system performance of the schemes with cooperation is significantly enhanced compared with that without cooperation and the scheme with IP remarkably outperform that without IP. Therefore, the schemes can overcome the effect of instant deep fading, and guaranteed the reliable multicast transmission.