TY - GEN
T1 - Sum-throughput maximization for NOMA-Based WPCN with signal alignment
AU - Song, Dongyeong
AU - Shin, Wonjae
AU - Lee, Jungwoo
AU - Vincent Poor, H.
N1 - Funding Information:
ACKNOWLEDGMENTS This work was supported in part by the Basic Science Research Programs under the National Research Foundation of Korea (NRF) through the Ministry of Science and ICT under Grant NRF-2017R1A2B2007102 and Grant NRF-2019R1C1C1006806, in part by the Technology Innovation Program through the Ministry of Trade, Industry and Energy (MOTIE) under Grant 10051928, in part by the Bio-Mimetic Robot Research Center through the Defense Acquisition Program Administration (DAPA) under Grant UD130070ID, in part by INMAC, and BK21-plus, and in part by the U.S. National Science Foundation under Grants CCF-1908308 and CCF-1908308.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - In this paper, we consider wireless powered communication networks (WPCNs) consisting of a power beacon (PB) with a single antenna, a base station (BS) with M antennas, and 2M energy harvesting users with N antennas, where N > M/2. A PB transfers energy to the users during downlink and the users transmit information using the harvested energy during uplink, where non-orthogonal multiple access (NOMA) is adopted. For NOMA, signal alignment is exploited to reduce the number of messages decoded by successive interference cancellation (SIC). The transmit/receive beamforming matrices can be further optimized in order to maximize the signal to noise ratios (SNRs) of the aligned signals. A sum-throughput maximization problem for the considered network is formulated, and is then transformed into an equivalent problem which is convex with respect to the time and energy resources. A novel algorithm to maximize the sum-throughput as well as to determine the beamforming matrices is presented.
AB - In this paper, we consider wireless powered communication networks (WPCNs) consisting of a power beacon (PB) with a single antenna, a base station (BS) with M antennas, and 2M energy harvesting users with N antennas, where N > M/2. A PB transfers energy to the users during downlink and the users transmit information using the harvested energy during uplink, where non-orthogonal multiple access (NOMA) is adopted. For NOMA, signal alignment is exploited to reduce the number of messages decoded by successive interference cancellation (SIC). The transmit/receive beamforming matrices can be further optimized in order to maximize the signal to noise ratios (SNRs) of the aligned signals. A sum-throughput maximization problem for the considered network is formulated, and is then transformed into an equivalent problem which is convex with respect to the time and energy resources. A novel algorithm to maximize the sum-throughput as well as to determine the beamforming matrices is presented.
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U2 - 10.1109/ICCWorkshops49005.2020.9145160
DO - 10.1109/ICCWorkshops49005.2020.9145160
M3 - Conference contribution
AN - SCOPUS:85090282572
T3 - 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
BT - 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020
Y2 - 7 June 2020 through 11 June 2020
ER -