| 移动D2D网络中基于链路状态预测的资源分配算法 |
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| 引用本文： | 钮金鑫,郭伟. 移动D2D网络中基于链路状态预测的资源分配算法[J]. 电子科技大学学报(自然科学版), 2018, 47(5): 665-671. DOI: 10.3969/j.issn.1001-0548.2018.05.005 |
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| 作者姓名： | 钮金鑫 郭伟 |
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| 作者单位： | 电子科技大学通信抗干扰技术国家级重点实验室 成都 611731 |
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| 基金项目： | 国家863计划2015AA01A705国家自然科学基金61471104国家自然科学基金61271168 |
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| 摘 要： | 为提高D2D链路稳定性,提出一种基于链路状态预测的资源分配与模式选择算法。该算法在D2D链路发生断裂或同频干扰之前进行传输模式选择及资源分配,保证链路连通性。仿真结果表明,该算法可以有效减少链路断裂或遭受同频干扰时间,维持链路稳定性。
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| 关 键 词： | 链路状态 移动D2D网络 模式选择 资源分配 |
| 收稿时间： | 2017-05-12 |
Link State Prediction Based Resource Allocation in Mobile D2D Networks |
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| Affiliation: | National Key Lab of Science and Technology on Communications, University of Electronic Science and Technology of China Chengdu 611731 |
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| Abstract: | Due to the randomness of device-to-device (D2D) users' mobility, D2D links may suffer from connection loss or co-channel interference. To improve the stability of D2D links, a link state prediction based resource allocation and mode selection algorithm is proposed, which adjusts users' power level, transmission frequency and transmission mode according to the predicted link state. Simulation results show that the proposed algorithm can effectively reduce the chances of abnormal links and improve the link stability. |
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