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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. 相似文献
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对高速铁路下行MIMO-OFDM系统中的动态资源分配问题进行研究.联合考虑子载波、天线、时隙和功率,将多维资源分配问题建模为混合整数非线性规划问题.分析移动速度对多普勒频移的影响,并计算子载波间干扰功率.在总发射功率不超过一定阈值的约束条件下,将最大化系统吞吐量作为优化目标.为了降低求解最优化问题的计算复杂度,采用两步求解法得到次优解.首先,在等功率分配的前提下,将子载波、天线和时隙分配给不同用户.然后,根据第1步资源分配的结果,进行功率分配.仿真结果显示,提出的多维资源分配策略与已有策略相比在系统吞吐量方面具有较大的性能提高. 相似文献
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