论文标题
6G机器类型通信网络的LSTM辅助混合随机访问方案
An LSTM-Aided Hybrid Random Access Scheme for 6G Machine Type Communication Networks
论文作者
论文摘要
在本文中，提出了LSTM辅助的混合随机访问方案（LSTMH-RA），以支持6G机器类型通信（MTC）网络中的多样化服务质量（QOS）要求，其中大量MTC（MMTC）设备和超级可靠的低延迟通信（URLLC）设备共存。在拟议的LSTMH-RA方案中，MMTC设备通过定时预时（TA）辅助的四步过程访问网络，以满足巨大的访问要求，而URLLC设备的访问程序则以两个步骤与MMTC设备的两个步骤完成，以减少延迟。此外，我们提出了一个基于注意力的LSTM预测模型，以预测活动性URLLC设备的数量，从而确定多用户检测算法的参数，以保证URLLC设备的延迟和可靠性访问要求。我们分析了LSTMH-RA方案的成功访问概率。数值结果表明，与基准方案相比，提出的LSTMH-RA方案可以显着提高成功的访问概率，从而满足URLLC和MMTC设备的不同QoS要求。
In this paper, an LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machine-type communication (MTC) networks, where massive MTC (mMTC) devices and ultra-reliable low latency communications (URLLC) devices coexist. In the proposed LSTMH-RA scheme, mMTC devices access the network via a timing advance (TA)-aided four-step procedure to meet massive access requirement, while the access procedure of the URLLC devices is completed in two steps coupled with the mMTC devices' access procedure to reduce latency. Furthermore, we propose an attention-based LSTM prediction model to predict the number of active URLLC devices, thereby determining the parameters of the multi-user detection algorithm to guarantee the latency and reliability access requirements of URLLC devices. We analyze the successful access probability of the LSTMH-RA scheme. Numerical results show that, compared with the benchmark schemes, the proposed LSTMH-RA scheme can significantly improve the successful access probability, and thus satisfy the diverse QoS requirements of URLLC and mMTC devices.
