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NOMA Design With Power-Outage Tradeoff for Two-User Systems
- Source :
- IEEE Wireless Communications Letters. 9:1278-1282
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- This letter proposes a modified non-orthogonal multiple-access (NOMA) scheme for systems with a multi-antenna base station (BS) and two single-antenna users, where NOMA transmissions are conducted only when the absolute correlation coefficient (CC) between the user channels exceeds a threshold and the BS uses matched-filter (MF) precoding along the user with the stronger average channel gain. We derive the average minimal transmit power to guarantee the signal-to-interference-plus-noise-ratio (SINR) levels of both users. Our results show that the average minimal power grows logarithmically in the reciprocal of the CC threshold and a non-zero threshold is necessary for the modified NOMA scheme to have finite average minimal transmit power. Further, for the massive MIMO scenario, we derive the scaling laws of the average transmit power and outage probability with respect to the antenna numbers, as well as their tradeoff law. Simulation results are shown to validate our theoretical results.<br />Comment: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
- Subjects :
- Signal Processing (eess.SP)
FOS: Computer and information sciences
Computer science
Computer Science - Information Theory
Information Theory (cs.IT)
MIMO
020206 networking & telecommunications
020302 automobile design & engineering
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Topology
Interference (wave propagation)
Transmitter power output
Precoding
Power (physics)
Base station
Signal-to-noise ratio
0203 mechanical engineering
Control and Systems Engineering
FOS: Electrical engineering, electronic engineering, information engineering
0202 electrical engineering, electronic engineering, information engineering
Electrical Engineering and Systems Science - Signal Processing
Electrical and Electronic Engineering
Antenna (radio)
Computer Science::Information Theory
Subjects
Details
- ISSN :
- 21622345 and 21622337
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Wireless Communications Letters
- Accession number :
- edsair.doi.dedup.....7bccf15ac756ad0c6bb5f2fd3d8e7413
- Full Text :
- https://doi.org/10.1109/lwc.2020.2987992