TY - GEN
T1 - NOMA Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users
AU - Saggese, Fabio
AU - Moretti, Marco
AU - Popovski, Petar
N1 - Funding Information:
VI. CONCLUSIONS In this paper, the comparison in terms of power consumption for OMA and NOMA paradigms applied on eMBB and URLLC users is studied. Our model assumes a perfect CSI knowledge for the eMBB user and a statistical CSI knowledge of the URLLC user. Under these assumptions, the general power allocation process of both traffics can be split into several sub-problems. Using the knowledge of the eMBB CSI, we provide a practical solution for the minimum power coefficients. Numerical results prove that the NOMA approach assures a lower power consumption with respect to the OMA paradigm, guaranteeing at the same time the minimum requirements of both users. ACKNOWLEDGEMENT The work of Marco Moretti is partially supported by the Italian Ministry of Education and Research (MIUR) in the framework of the CrossLab project (Departments of Excellence) and by the European Project SCORE (agreement No 101003534).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Spectrum slicing of the shared radio resources is a critical task in 5G networks with heterogeneous services, through which each service gets performance guarantees. In this paper, we consider a setup in which a Base Station (BS) should serve two types of traffic in the downlink, enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC), respectively. Two resource allocation strategies are compared: non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA). A framework for power minimization is presented, in which the BS knows the channel state information (CSI) of the eMBB users only. Nevertheless, due to the resource sharing, it is shown that this knowledge can be used also to the benefit of the URLLC users. The numerical results show that NOMA leads to a lower power consumption compared to OMA for every simulation parameter under test.
AB - Spectrum slicing of the shared radio resources is a critical task in 5G networks with heterogeneous services, through which each service gets performance guarantees. In this paper, we consider a setup in which a Base Station (BS) should serve two types of traffic in the downlink, enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC), respectively. Two resource allocation strategies are compared: non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA). A framework for power minimization is presented, in which the BS knows the channel state information (CSI) of the eMBB users only. Nevertheless, due to the resource sharing, it is shown that this knowledge can be used also to the benefit of the URLLC users. The numerical results show that NOMA leads to a lower power consumption compared to OMA for every simulation parameter under test.
KW - eMBB
KW - NOMA
KW - Power saving
KW - RAN slicing
KW - URLLC
UR - http://www.scopus.com/inward/record.url?scp=85130696012&partnerID=8YFLogxK
U2 - 10.1109/WCNC51071.2022.9771653
DO - 10.1109/WCNC51071.2022.9771653
M3 - Article in proceeding
AN - SCOPUS:85130696012
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 1725
EP - 1730
BT - 2022 IEEE Wireless Communications and Networking Conference (WCNC)
PB - IEEE
T2 - 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Y2 - 10 April 2022 through 13 April 2022
ER -