Joint User Association and Resource Allocation for mmWave Communication: A Neural Network Approach
查看参考文献30篇
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文摘
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With the rapid growth of wireless data demand and the shortage of global bandwidth, the use of millimeter-wave (mmWave) frequency band for wireless cellular networks has become the core content of the fifth generation cellular network. Because mmWave communication has different characteristics from microwave communication, using traditional optimization techniques to manage the resource of mmWave communication networks is inappropriate. In this paper, we propose a neural network-based algorithm to solve the joint user association and resource allocation for mmWave communication system with multi-connectivity (MC) and integrated access backhaul (IAB). The resource allocation problem is formulated as a mixed-integer quadratically constrained quadratic programming (MIQCQP), which is very difficult to solve. First, we decompose the MIQCQP into two sub-problems, i.e., binary associated matrix sub-problem and continuous IAB ratio sub-problem. Then we propose a neural network to solve the binary associated matrix inference problem and a resource allocation algorithm to find the sub-optimal IAB ratio. Simulation results show that the proposed algorithm can achieve good performance with a fast inference speed. |
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来源
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Journal of Communications and Information Networks
,2021,6(2):125-133 【核心库】
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DOI
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10.23919/JCIN.2021.9475122
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关键词
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mmWave communication
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multi-connectivity
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integrated access backaul
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user association
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neural network
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地址
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Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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2096-1081 |
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学科
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电子技术、通信技术 |
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文献收藏号
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CSCD:6990517
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