Anwar W, Dev S, Kulkarni K, Franchi N, Fettweis G (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2019-April
Conference Proceedings Title: IEEE Wireless Communications and Networking Conference, WCNC
ISBN: 9781538676462
DOI: 10.1109/WCNC.2019.8885654
Emerging wireless communication use-cases demand ultra-reliable and low-latency communications. In order to meet these requirements, multi-connectivity (MC) approaches are being considered as a possible solution. To enable multi-connectivity with efficient use of resources, link adaptation requires not only to adopt modulation and coding scheme but also the number of links. This can be achieved by using an effective link quality metric (LQM) and mapping it to packet error rate or throughput, a process known as physical layer abstraction (PLA). In this paper, a new PLA method enhanced received bit information rate (eRBIR) is presented for OFDM based MC networks. The performance of proposed method is evaluated and compared against existing methods such as exponential effective SINR mapping (EESM) and received bit information rate (RBIR). Simulation results show that the proposed method enable an accurate and reliable link adaptation as compared to state of the art PLAs. Finally, the application of PLAs, to adapt the MCS in varying channel conditions is illustrated to ensure a certain target quality of service.
APA:
Anwar, W., Dev, S., Kulkarni, K., Franchi, N., & Fettweis, G. (2019). On PHY Abstraction Modeling for IEEE 802.11ax based Multi-Connectivity Networks. In IEEE Wireless Communications and Networking Conference, WCNC. Marrakesh, MA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Anwar, Waqar, et al. "On PHY Abstraction Modeling for IEEE 802.11ax based Multi-Connectivity Networks." Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019, Marrakesh Institute of Electrical and Electronics Engineers Inc., 2019.
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