M. Rasti, S. K. Taskou, H. Tabassum and E. Hossain, "Evolution Toward 6G Multi-Band Wireless Networks: A Resource Management Perspective," in IEEE Wireless Communications, vol. 29, no. 4, pp. 118-125, August 2022, doi: 10.1109/MWC.006.2100536.
Evolution toward 6G multi-band wireless networks : a resource management perspective
|Author:||Rasti, Mehdi1; Taskou, Shiva Kazemi2; Tabassum, Hina3;|
1University of Oulu, Finland
2Amirkabir University of Technology, Iran
3York University, Canada
4University of Manitoba, Canada
|Online Access:||PDF Full Text (PDF, 1.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202301031322
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-01-03
In this article, we first present the vision, key performance indicators, key enabling techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of general resource management (RM) challenges as well as unique RM challenges corresponding to each KET. The unique RM challenges in 6G necessitate the transformation of existing optimization-based solutions to artificial intelligence/machine learning-empowered solutions. In the sequel, we formulate a joint network selection and subchannel allocation problem for 6G multi-band network that provides both further enhanced mobile broadband (FeMBB) and extreme ultra reliable low latency communication (eURLLC) services to the terrestrial and aerial users. Our solution highlights the efficacy of multi-band network and demonstrates the robustness of dueling deep Q-network in obtaining efficient RM solution with faster convergence rate compared to deep Q-network and double deep Q-network algorithms.
IEEE wireless communications
|Pages:||118 - 125|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
The work of M. Rasti was supported in part by the University of Oulu and the Academy of Finland Profi6 336449, and in part by Lappeenranta-Lahti University of Technology (LUT), Lappeenranta, Finland (within the project STREAM supported by JAES Foundation) during his visit to LUT. The work of H. Tabassum was supported by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (NSERC). The work of E. Hossain was supported by a Discovery Grant from NSERC.
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.