  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.
