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User Clustering and Power Allocation for Massive MIMO With NOMA-Inspired Cognitive Radio.
- Source :
-
IEEE Transactions on Vehicular Technology . Jul2022, Vol. 71 Issue 7, p7656-7664. 9p. - Publication Year :
- 2022
-
Abstract
- This paper proposes a massive multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) system based on cognitive radio (CR) networks. To reduce the users interference, we propose an efficient user clustering algorithm. Within a cluster, we consider the user with the weak channel gain as a primary user (PU) and the user with the strong channel gain as a secondary user (SU). Given the quality of service for both PUs and SUs, we propose a power allocation (PA) method that maximizes the sum rate. The PA optimization problem is discussed into three scenarios which depend on the available transmit power. Thereafter, we derive a robust solution for the PA issue under imperfect channel state information (CSI) assumptions. Simulation results demonstrate that our proposed NOMA-CR scheme can significantly improve the spectral efficiency (SE). In addition, the proposed robust PA scheme for the imperfect CSI case reduces the performance loss due to the channel uncertainty. [ABSTRACT FROM AUTHOR]
- Subjects :
- *COGNITIVE radio
*QUALITY of service
*RADIO frequency
*MIMO radar
Subjects
Details
- Language :
- English
- ISSN :
- 00189545
- Volume :
- 71
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Vehicular Technology
- Publication Type :
- Academic Journal
- Accession number :
- 158023197
- Full Text :
- https://doi.org/10.1109/TVT.2022.3171500