On PHY Abstraction Modeling for IEEE 802.11ax based Multi-Connectivity Networks
On PHY Abstraction Modeling for IEEE 802.11ax based Multi-Connectivity Networks
复制标题
基于 IEEE 802.11ax 的多连接网络的 PHY 抽象建模
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
G. Fettweis
中科院分区：
文献类型：
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作者：
Waqar Anwar;Sourav Dev;K. Kulkarni;Norman Franchi;G. Fettweis
新兴的无线通信用例需要超可靠和低延迟的通信。为了满足这些要求，多重连接（MC）方法被认为是一种可能的解决方案。为了实现多连接并有效利用资源，链路自适应不仅需要采用调制和编码方案，还需要采用链路数量。这可以通过使用有效的链路质量度量 (LQM) 并将其映射到数据包错误率或吞吐量来实现，这一过程称为物理层抽象 (PLA)。本文针对基于 OFDM 的 MC 网络提出了一种新的 PLA 方法增强接收比特信息率 (eRBIR)。对所提出方法的性能进行了评估，并与现有方法（例如指数有效 SINR 映射（EESM）和接收比特信息率（RBIR））进行了比较。仿真结果表明，与最先进的 PLA 相比，所提出的方法能够实现准确可靠的链路自适应。最后，说明了 PLA 的应用，以适应不同信道条件下的 MCS，以确保特定的目标服务质量。
Emerging wireless communication use-cases demand ultra-reliable and low-latency communications. In order to meet these requirements, multi-connectivity (MC) approaches are being considered as a possible solution. To enable multi-connectivity with efficient use of resources, link adaptation requires not only to adopt modulation and coding scheme but also the number of links. This can be achieved by using an effective link quality metric (LQM) and mapping it to packet error rate or throughput, a process known as physical layer abstraction (PLA). In this paper, a new PLA method enhanced received bit information rate (eRBIR) is presented for OFDM based MC networks. The performance of proposed method is evaluated and compared against existing methods such as exponential effective SINR mapping (EESM) and received bit information rate (RBIR). Simulation results show that the proposed method enable an accurate and reliable link adaptation as compared to state of the art PLAs. Finally, the application of PLAs, to adapt the MCS in varying channel conditions is illustrated to ensure a certain target quality of service.