LSTM-Aided Hybrid Random Access Scheme for 6G Heterogeneous MTC Networks.
Year: 2020
Type: preprint
Abstract: An LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G MTC heterogeneous networks where URLLC and mMTC devices coexist. This scheme employs an attention-based LSTM prediction model to predict the number of active URLLC devices, determines the parameters of the multi-user detection algorithm dynamically, and then allows URLLC devices to access the network via a two-step contention-free access procedure, to meet latency and reliability access requirements; mMTC devices access the network via a contentionbased TA-aided access mechanism to meet massive access requirement. We analyze the successful access probability of the LSTMH-RA scheme. Numerical results show that, compared to the benchmark schemes, the LSTMH-RA scheme significantly improves the successful access probability, and satisfies the diverse QoS requirements of URLLC and mMTC devices
Source: arXiv (Cornell University)
Language: English
Topic: IoT Networks and Protocols
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3114936532