Spectral Clustering Aided User Grouping and Scheduling in Wideband MU-MIMO Systems
Spectral Clustering Aided User Grouping and Scheduling in Wideband MU-MIMO Systems
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DOI：
10.1109/icc45041.2023.10279388
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发表时间：
2023-05
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影响因子：
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通讯作者：
Chih-Ho Hsu;Carlos Feres;Zhi Ding
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作者：
Chih-Ho Hsu;Carlos Feres;Zhi Ding
多用户MIMO（MU-MIMO）技术可以帮助满足现代无线网络中快速增长的高数据速率需求。同一资源共享组（RSG）中的用户之间的共信道干扰（CCI）对实现高的总体MU-MIMO容量提出了严重的用户调度挑战。由于CCI与空间用户信道之间的相关性密切相关，因此调度具有低用户间信道相关性的同信道用户组将是自然的。然而，为大用户群体建立具有低同信道相关性的RSG是NP难问题。更实际地，在每个频带中表现出不同信道特性的宽带信道的用户调度仍然是一个悬而未决的问题。在这项工作中，我们提出了一种新的宽带用户分组和调度算法命名为SC-MS。所提出的SC-MS算法首先利用频谱聚类，以获得一个初步的用户组。接下来，我们应用后处理步骤来从初步组中识别用户集团，以进一步减轻CCI。我们的最后一个步骤将用户分组到RSG中进行调度，使得跨多个频带的用户团大小的总和最大化。仿真结果表明，网络性能增益的基准方法的总和速率和公平性。
Multiuser MIMO (MU-MIMO) technologies can help provide rapidly growing needs for high data rates in modern wireless networks. Co-channel interference (CCI) among users in the same resource-sharing group (RSG) presents a serious user scheduling challenge to achieve high overall MU-MIMO capacity. Since CCI is closely related to correlation among spatial user channels, it would be natural to schedule co-channel user groups with low inter-user channel correlation. Yet, establishing RSGs with low co-channel correlations for large user populations is an NP-hard problem. More practically, user scheduling for wideband channels exhibiting distinct channel characteristics in each frequency band remains an open question. In this work, we proposed a novel wideband user grouping and scheduling algorithm named SC-MS. The proposed SC-MS algorithm first leverages spectral clustering to obtain a preliminary set of user groups. Next, we apply a post-processing step to identify user cliques from the preliminary groups to further mitigate CCI. Our last step groups users into RSGs for scheduling such that the sum of user clique sizes across the multiple frequency bands is maximized. Simulation results demonstrate network performance gain over benchmark methods in terms of sum rate and fairness.