Abstract
In this paper, we study the joint user and power scheduling for downlink NOMA over fading channels. Specifically, we focus on a stochastic optimization problem to maximize the weighted average sum rate while ensuring given minimum average data rates of users. To address this problem, we first develop an opportunistic user and power scheduling algorithm (OUPS) based on the duality and stochastic optimization theories. By OUPS, the stochastic problem is transformed into a series of deterministic ones for the instantaneous weighted sum rate maximization for each slot. Thus, we additionally develop a heuristic algorithm with very low computational complexity, called user selection and power allocation algorithm (USPA), for the instantaneous weighted sum rate maximization problem. Via simulation results, we demonstrate that USPA provides near-optimal performance with very low computational complexity, and OUPS well guarantees given minimum average data rates.
Original language | English |
---|---|
Title of host publication | 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728189642 |
DOIs | |
Publication status | Published - 2021 Apr |
Event | 93rd IEEE Vehicular Technology Conference, VTC 2021-Spring - Virtual, Online Duration: 2021 Apr 25 → 2021 Apr 28 |
Publication series
Name | IEEE Vehicular Technology Conference |
---|---|
Volume | 2021-April |
ISSN (Print) | 1550-2252 |
Conference
Conference | 93rd IEEE Vehicular Technology Conference, VTC 2021-Spring |
---|---|
City | Virtual, Online |
Period | 21/4/25 → 21/4/28 |
Bibliographical note
Funding Information:ACKNOWLEDGMENT The work of D.-Y. Kim and J.-W. Lee was supported in part by the NRF grant funded by the Korea government (MSIT) (NRF-2017R1A2B4006908, NRF-2019R1A2C2084870), and the work of H. Jafarkhani was supported in part by the NSF Award CCF-2008786.
Publisher Copyright:
© 2021 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics