高速度的火车通讯系统是一个典型高活动性的无线通讯网络。资源分配问题在系统表演上有大影响。然而,在细胞的网络的常规资源分配途径不能直接被用于这种特殊通讯环境。多域资源分配策略在直角的频率部门被建议多重存取(OFDMA ) 高速度。由分析 Doppler 移动的效果,子通道,天线,时间槽和力量联合被认为在全部的传播力量的限制下面最大化精力效率。为减少计算复杂性的目的,吵闹的混乱神经网络算法被用来解决上述优化问题。模拟结果证明建议资源分配方法比传统的策略有更好的表演。
High-speed train communication system is a typical high-mobility wireless communication network. Resource allocation problem has a great impact on the system performance. However, conventional resource allocation approaches in cellular network cannot be directly applied to this kind of special communication environment. A multidomain resource allocation strategy was proposed in the orthogonal frequency-division multiple access (OFDMA) of high-speed. By analyzing the effect of Doppler shift, sub-channels, antennas, time slots and power were jointly consid- ered to maximize the energy efficiency under the constraint of total transmission power. For the purpose of reducing the computational complexity, noisy chaotic neural network algorithm was used to solve the above optimization problem. Simulation results showed that the proposed resource allocation method had a better performance than the traditional strategy.