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.

翻译：在本文件中,提议采用LSTMTM辅助的混合随机访问计划(LSTMH-RA),以支持6G机器型通信网络(MTC)中的大型MTC(MMTC)装置和超可靠低潜伏通信(URLLC)装置共存的6G机器型通信网络的服务质量要求多样化(QOS),在拟议的LSTMH-RA计划中,MMTC装置通过一个时间先期(TA)辅助的四步程序进入网络,以满足大规模访问要求,而URLLC装置的准入程序则分两个步骤完成,再加上MMTC装置的接入程序,以减少延迟性。此外,我们提出一个基于关注的LSTMMT预测模型,以预测活跃的URLC装置的数量,从而确定多用户检测算法参数,以保证URLC装置的惯性与可靠访问要求。我们分析了LSTMH-RA办法的成功访问概率。