Optimal rate profile for multi‐user multi‐rate transmission systems by bivariate fixed‐point analysis

He, Meilin; Song, Guanghui; Cheng, Jun

doi:10.1049/iet-com.2016.0694

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Also in Fig. 2(a) and Table I, RO [5] ( ¼ 1:00, equal power) gives sum rate R sum ¼ 0:45, the gap of 2.48 dB, and the corresponding optimal profile. On the other hand, PO [4] ( ¼ 1:10, equal rate) also gives these optimal values.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In our RPO, there are two special cases. When ¼ 1, users have the same power, and only rate profile is optimised [5]. In the case of each user's rate being the same, information theory shows that its optimized power profile satisfies (3) with ¼ ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi…”

Section: Joint Rate and Power Optimization (Rpo)mentioning

confidence: 99%

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Joint rate and power optimization for SIC in uplink NOMA systems

Song

Cheng

2018

IEICE ComEX

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To implement K-user multi-rate multi-power transmission in non-orthogonal multiple access systems with successive interference cancellation, a repeat accumulator code serially concatenated with a spreading is employed for each user to implement a variable, low-rate coding. A joint rate and power optimization (RPO) is proposed to maximize the sum rate with error free decoding. Numerical results show that our proposed codingspreading scheme with joint RPO, supporting the multi-rate transmission with the same structure of encoder, approaches the Shannon limit.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Joint Rate and Power Optimization (Rpo)mentioning

confidence: 99%