| 摘要: |
| 针对在C-RAN（Clean-Radio Access Network）架构无线网络中的干扰消除机制会带来背景噪声放大的问题，利用C-RAN架构网络的集中式处理，从而可以对全网络系统求解干扰。在定义网络背景噪声放大因子的基础上，将网络中背景噪声放大的最小化问题建立为以资源分配集合为可行空间、以最小化背景噪声放大因子为目标函数的最优化数学模型，并给出了利用遗传算法进行求解的方法，在此基础上设计了资源分配的机制。对该机制的仿真结果表明：将此机制应用到C-RAN构架网络中，能有效降低误码率，提升网络中用户公平性和吞吐量。 |
| 关键词: C-RAN 干扰消除矩阵 最优化模型 频率分配 |
| DOI： |
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| 基金项目:国家高技术研究发展计划(863计划)项目(2014AA01A701)；重庆市教委资助项目(KJ120510) |
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| A resource allocation mechanism for interference cancellation in C-RAN architecture |
| LIU Zhanjun,PENG Xia,HE Hongzhi,ZHOU Shiyan |
| () |
| Abstract: |
| For the amplified background noise problem of the interference cancellation mechanism in the Clean-Radio Access Network(C-RAN) architecture wireless network,the interference over the whole system in the network can be solved by utilizing the centralized processing characteristic of C-RAN architecture. Based on the definition of the network amplification factor,the problem of minimizing the network background noise is modeled as an optimization mathematical problem,in which the resource allocation set is the feasible space and minimizing the background noise amplification factor is the target function. And then,the way of the applying genetic algorithm(GA) to solve the problem is given and the resource allocation mechanism is designed. The simulation results show that applying the proposed mechanism in the C-RAN architecture can effectively reduce the bit error rate(BER) and improve the users’ fairness and network throughput. |
| Key words: C-RAN interference cancellation matrix optimization model frequency allocation |
