.png){kind=icon}
.png){kind=icon}
Return
Decentralized Random Energy Allocation for Massive Non-Orthogonal Code-Division Multiple Access
.png){kind=icon}
OA
AI
DOI：10.1109/LCOMM.2019.2945710.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This work studies the spectral efficiency achievable when a very large number of terminals are connected simultaneously to a central node (uplink) through independent and identically-distributed flat-fading channels. Assuming that terminals only have statistical channel state information (CSI), the optimum random transmitted-energy allocation is formulated considering a non-orthogonal direct-sequence code-division multiple access (DS-CDMA) where all users transmit using the same modulation and error correcting code and the receiver implements successive interference cancellation (SIC). Focusing on low-power terminals, optimization is carried out by imposing constraints on both the average and peak per-user transmitted energy. Simulations have revealed that a limited number of random energy levels, whose number is determined by the channel power gain variance, is sufficient to achieve approximately the maximum spectral efficiency that would be obtained under direct optimization of the received energy profile.
Keywords:
Interference
Silicon carbide
Multiaccess communication
Resource management
Energy states
NOMA
Receivers
Non-orthogonal multiple access
DS-CDMA
successive interference cancellation
random energy allocation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.4
Papers:
1.3W
Citations:
2.2W