Rate and energy maximization in SCMA networks with wireless information and power transfer

Daosen Zhai; Min Sheng; Xijun Wang; Yuzhou Li; Jiongjiong Song; Jiandong Li

doi:10.1109/LCOMM.2015.2504439

Rate and energy maximization in SCMA networks with wireless information and power transfer

Daosen Zhai, Min Sheng, Xijun Wang, Yuzhou Li, Jiongjiong Song, Jiandong Li

Xidian University

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

Abstract

In this letter, we investigate the fundamental tradeoff between rate and energy for sparse code multiple access (SCMA) networks with wireless power transfer. A weighted rate and energy maximization problem by jointly considering power allocation, codebook assignment, and power splitting, is formulated. To solve the hard problem, an iterative algorithm based on the univariate search technique is proposed, which has good performance with low complexity. Specifically, we analyze the special structure of the problem and exploit it to obtain the optimal power splitting ratio and resource allocation strategy when one of them is fixed. Simulation results indicate that our algorithm achieves a better rate-energy tradeoff compared to other schemes.

Original language	English
Article number	7339668
Pages (from-to)	360-363
Number of pages	4
Journal	IEEE Communications Letters
Volume	20
Issue number	2
DOIs	https://doi.org/10.1109/LCOMM.2015.2504439
State	Published - 1 Feb 2016
Externally published	Yes

Keywords

energy harvesting.
simultaneous wireless information and power transfer
Sparse code multiple access

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10.1109/LCOMM.2015.2504439

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title = "Rate and energy maximization in SCMA networks with wireless information and power transfer",

abstract = "In this letter, we investigate the fundamental tradeoff between rate and energy for sparse code multiple access (SCMA) networks with wireless power transfer. A weighted rate and energy maximization problem by jointly considering power allocation, codebook assignment, and power splitting, is formulated. To solve the hard problem, an iterative algorithm based on the univariate search technique is proposed, which has good performance with low complexity. Specifically, we analyze the special structure of the problem and exploit it to obtain the optimal power splitting ratio and resource allocation strategy when one of them is fixed. Simulation results indicate that our algorithm achieves a better rate-energy tradeoff compared to other schemes.",

keywords = "energy harvesting., simultaneous wireless information and power transfer, Sparse code multiple access",

author = "Daosen Zhai and Min Sheng and Xijun Wang and Yuzhou Li and Jiongjiong Song and Jiandong Li",

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T1 - Rate and energy maximization in SCMA networks with wireless information and power transfer

AU - Zhai, Daosen

AU - Sheng, Min

AU - Wang, Xijun

AU - Li, Yuzhou

AU - Song, Jiongjiong

AU - Li, Jiandong

PY - 2016/2/1

Y1 - 2016/2/1

N2 - In this letter, we investigate the fundamental tradeoff between rate and energy for sparse code multiple access (SCMA) networks with wireless power transfer. A weighted rate and energy maximization problem by jointly considering power allocation, codebook assignment, and power splitting, is formulated. To solve the hard problem, an iterative algorithm based on the univariate search technique is proposed, which has good performance with low complexity. Specifically, we analyze the special structure of the problem and exploit it to obtain the optimal power splitting ratio and resource allocation strategy when one of them is fixed. Simulation results indicate that our algorithm achieves a better rate-energy tradeoff compared to other schemes.

AB - In this letter, we investigate the fundamental tradeoff between rate and energy for sparse code multiple access (SCMA) networks with wireless power transfer. A weighted rate and energy maximization problem by jointly considering power allocation, codebook assignment, and power splitting, is formulated. To solve the hard problem, an iterative algorithm based on the univariate search technique is proposed, which has good performance with low complexity. Specifically, we analyze the special structure of the problem and exploit it to obtain the optimal power splitting ratio and resource allocation strategy when one of them is fixed. Simulation results indicate that our algorithm achieves a better rate-energy tradeoff compared to other schemes.

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ER -

Rate and energy maximization in SCMA networks with wireless information and power transfer

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Keywords

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