Intelligent MU-MIMO User Selection With Dynamic Link Adaptation in IEEE 802.11ax
Intelligent MU-MIMO User Selection With Dynamic Link Adaptation in IEEE 802.11ax
复制标题
IEEE 802.11ax 中具有动态链路自适应的智能 MU-MIMO 用户选择
DOI：
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发表时间：
2019
影响因子：
10.4
通讯作者：
Sandip Chakraborty
中科院分区：
文献类型：
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作者：
Raja Karmakar;Samiran Chattopadhyay;Sandip Chakraborty
IEEE 802.11ax高吞吐量无线接入网络支持基于多用户多输入多输出（MU-MIMO）的通信，其中一组空间上分开的无线站形成用户组，并使用不同的空间流进行同时发送和接收。在这种架构中，动态用户组选择是维持高吞吐量公平信道接入的一个重要方面。此外，需要基于所选择的用户组来调谐物理和媒体接入控制参数（如信道绑定级别、调制和编码方案），以利用最大可用容量。在本文中，我们在集中式逻辑控制架构上设计了一种基于在线学习的方法，称为具有链路自适应的智能MU-MIMO用户选择（IMMULA），其中中央控制器收集各种配置空间下的性能统计数据，并应用强化学习策略来选择最适合的配置。定期动态选择最合适的配置。IMMULA的性能进行了分析，包括6个IEEE 802.11ac接入点和20个无线站的测试床。结果表明，与其他基线机制相比，IMMULA显著提高了网络性能。
IEEE 802.11ax high-throughput wireless access networks support multi-user multiple-input multiple-output (MU-MIMO)-based communication, where a set of spatially apart wireless stations forms a user group and uses different spatial streams for simultaneous transmission and reception. In this architecture, dynamic user group selection is an important aspect for maintaining high-throughput fair channel access. In addition, the physical and media access control parameters, like channel bonding levels, modulation, and coding schemes need to be tuned based on the selected user group to utilize the maximum available capacity. In this paper, we design an online learning-based approach over a centralized logical control architecture, called intelligent MU-MIMO user selection with link adaptation (IMMULA), where a central controller collects the performance statistics under various configuration space and applies a reinforcement learning strategy to select the best-suited configurations dynamically at periodic intervals. The performance of IMMULA is analyzed over a testbed consisting of 6 IEEE 802.11ac access points and 20 wireless stations. The results show that IMMULA improves network performances significantly compared to other baseline mechanisms.