Abstract:
Non-orthogonal multiple access (NOMA) has emerged as a promising technology for 5G networks and beyond. In order to fully reap the benefits of NOMA, it is essential to ch...Show MoreMetadata
Abstract:
Non-orthogonal multiple access (NOMA) has emerged as a promising technology for 5G networks and beyond. In order to fully reap the benefits of NOMA, it is essential to characterize its performance for different channel conditions. In this paper, we carry out a performance analysis of downlink NOMA systems subject to κ-μ shadowed fading channels. Specifically, ergodic capacity, outage probability, and average bit error rate expressions for a two-users NOMA scheme under κ-μ shadowed fading links are derived. The accuracy of the analytical results has been validated by extensive simulations.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 69, Issue: 1, January 2020)
Funding Agency:
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China
Benha University, Benha, Egypt
Department of Communications and Networking, Aalto University, Espoo, Finland
Department of Computer Engineering, Federal University of Ceará, Sobral, Brazil
Department of Electrical Engineering, University of Brasilia, Brasilia, Brazil
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China
PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China
Contents Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China
Benha University, Benha, Egypt
Department of Communications and Networking, Aalto University, Espoo, Finland
Department of Computer Engineering, Federal University of Ceará, Sobral, Brazil
Department of Electrical Engineering, University of Brasilia, Brasilia, Brazil
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China
PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China
