This paper studies a wireless powered communication network (WPCN) with non-orthogonal multiple access (NOMA) under successive interference cancellation (SIC) constraints, where the users first harvest energy from the power station and then transmit data to the information receiver simultaneously. Under this setup, we investigate the system throughput maximization problem. We first formulate an optimization problem for a general case, which is non-convex. To derive the optimal solution, new variables are introduced to transform the initial problem into a convex optimization problem. For a special case, i.e., two-user case, the optimal solution is derived as a closed-form expression. Simulations on the effect of SIC constraints show the importance of the distinctness among users' channels for the proposed model.
Bin LYU
Nanjing University of Posts and Telecommunications
Zhen YANG
Nanjing University of Posts and Telecommunications
Guan GUI
Nanjing University of Posts and Telecommunications
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Bin LYU, Zhen YANG, Guan GUI, "Non-Orthogonal Multiple Access in Wireless Powered Communication Networks with SIC Constraints" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 4, pp. 1094-1101, April 2018, doi: 10.1587/transcom.2017EBP3179.
Abstract: This paper studies a wireless powered communication network (WPCN) with non-orthogonal multiple access (NOMA) under successive interference cancellation (SIC) constraints, where the users first harvest energy from the power station and then transmit data to the information receiver simultaneously. Under this setup, we investigate the system throughput maximization problem. We first formulate an optimization problem for a general case, which is non-convex. To derive the optimal solution, new variables are introduced to transform the initial problem into a convex optimization problem. For a special case, i.e., two-user case, the optimal solution is derived as a closed-form expression. Simulations on the effect of SIC constraints show the importance of the distinctness among users' channels for the proposed model.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3179/_p
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@ARTICLE{e101-b_4_1094,
author={Bin LYU, Zhen YANG, Guan GUI, },
journal={IEICE TRANSACTIONS on Communications},
title={Non-Orthogonal Multiple Access in Wireless Powered Communication Networks with SIC Constraints},
year={2018},
volume={E101-B},
number={4},
pages={1094-1101},
abstract={This paper studies a wireless powered communication network (WPCN) with non-orthogonal multiple access (NOMA) under successive interference cancellation (SIC) constraints, where the users first harvest energy from the power station and then transmit data to the information receiver simultaneously. Under this setup, we investigate the system throughput maximization problem. We first formulate an optimization problem for a general case, which is non-convex. To derive the optimal solution, new variables are introduced to transform the initial problem into a convex optimization problem. For a special case, i.e., two-user case, the optimal solution is derived as a closed-form expression. Simulations on the effect of SIC constraints show the importance of the distinctness among users' channels for the proposed model.},
keywords={},
doi={10.1587/transcom.2017EBP3179},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Non-Orthogonal Multiple Access in Wireless Powered Communication Networks with SIC Constraints
T2 - IEICE TRANSACTIONS on Communications
SP - 1094
EP - 1101
AU - Bin LYU
AU - Zhen YANG
AU - Guan GUI
PY - 2018
DO - 10.1587/transcom.2017EBP3179
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2018
AB - This paper studies a wireless powered communication network (WPCN) with non-orthogonal multiple access (NOMA) under successive interference cancellation (SIC) constraints, where the users first harvest energy from the power station and then transmit data to the information receiver simultaneously. Under this setup, we investigate the system throughput maximization problem. We first formulate an optimization problem for a general case, which is non-convex. To derive the optimal solution, new variables are introduced to transform the initial problem into a convex optimization problem. For a special case, i.e., two-user case, the optimal solution is derived as a closed-form expression. Simulations on the effect of SIC constraints show the importance of the distinctness among users' channels for the proposed model.
ER -