Reference : Learning-Based Multiplexing of Grant-Based and Grant-Free Heterogeneous Services with...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/48610
Learning-Based Multiplexing of Grant-Based and Grant-Free Heterogeneous Services with Short Packets
English
Tran, Duc Dung mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Sharma, Shree Krishna mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Woungang, Isaac [Ryerson University > Department of Computer Science]
Dec-2021
Proceedings of 2021 IEEE Global Communications Conference (GLOBECOM)
1-6
Yes
No
International
2021 IEEE Global Communications Conference (GLOBECOM)
from 07-12-2021 to 11-12-2021
IEEE
Madrid
Spain
[en] Grant-free NOMA ; heterogeneous networks ; Q-Learning ; short-packet communications
[en] In this paper, we investigate the multiplexing of grant-based (GB) and grant-free (GF) device transmissions in an uplink heterogeneous network (HetNet), namely GB-GF HetNet, where the devices transmit their information using low-rate short data packets. Specifically, GB devices are granted unique time-slots for their transmissions. In contrast, GF devices can randomly select time-slots to transmit their messages utilizing the GF non-orthogonal multiple access (NOMA), which has emerged as a promising enabler for massive access and reducing access latency. However, random access (RA) in the GF NOMA can cause collisions and severe interference, leading to system performance degradation. To overcome this issue, we propose a multiple access (MA) protocol based on reinforcement learning for effective RA slots allocation. The proposed learning method aims to guarantee that the GF devices do not cause any collisions to the GB devices and the number of GF devices choosing the same time-slot does not exceed a predetermined threshold to reduce the interference. In addition, based on the results of the RA slots allocation using the proposed method, we derive the approximate closed-form expressions of the average decoding error probability (ADEP) for all devices to characterize the system performance. Our results presented in terms of access efficiency (AE), collision probability (CP), and overall ADEP (OADEP), show that our proposed method can ensure a smooth operation of the GB and GF devices within the same network while significantly minimizing the collision and interference among the device transmissions in the GB-GF HetNet.
ERC
ERC-funded project AGNOSTIC
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/48610
H2020 ; 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
FINAL_VERSION.pdfAuthor preprint319.81 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.