2019 IEEE Wireless Communications and Networking Conference (WCNC) 2019
DOI: 10.1109/wcnc.2019.8885768
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On the Sum-Rate Capacity and Spectral Efficiency Gains of Massively Concurrent NOMA Systems

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Cited by 4 publications
(3 citation statements)
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“…where h k is the channel matrix, E[. ]is the ergodic capacity, and N 0 is the spectral power density at each receiver [35],…”
Section: The Uplink Receiver Model May Use a Unit Norm Receive Filter...mentioning
confidence: 99%
“…where h k is the channel matrix, E[. ]is the ergodic capacity, and N 0 is the spectral power density at each receiver [35],…”
Section: The Uplink Receiver Model May Use a Unit Norm Receive Filter...mentioning
confidence: 99%
“…where , h k is the channel matrix, E[. ]is the ergodic capacity, and N 0 is the spectral power density at each receiver [32], It is clear that, the rate performance for the uplink NOMA system is influenced by the instances of the matrix F and channel h.…”
Section: Fig (1) Uplink Noma Transmitter Model For K Usersmentioning
confidence: 99%
“…As a result, the ergodic CCMC capacity at the j-th user for the described NOMA system is generally (regardless of the employed scheme ETF, GWBE, PDMA, 64QAMquantized Grassmannian, Grassmannian, and WSMA where SNR= =frame gain, k is the width dimension of the frame, is ergodic capacity, and N 0 is the spectral power density at each j receiver given by [32] (16)…”
Section: Ccmc Capacitymentioning
confidence: 99%