TY - JOUR
T1 - Sum Throughput Maximization for Multi-User MIMO Cognitive Wireless Powered Communication Networks
AU - Kim, Jaein
AU - Lee, Hoon
AU - Song, Changick
AU - Oh, Taeseok
AU - Lee, Inkyu
N1 - Funding Information:
This work was supported by the National Research Foundation (NRF) funded by the Ministry of Science, ICT and Future Planning (MSIP) of the Korean Government under Grant 2014R1A2A1A10049769.
PY - 2017/2
Y1 - 2017/2
N2 - In this paper, we study multi-user multi-input multi-output cognitive wireless powered communication networks (WPCN), in which a secondary WPCN shares spectrum with a primary wireless information transfer system. A typical WPCN consists of two different phases. In the first downlink phase, a hybrid access point (H-AP) transfers energy to charge users, and then in the subsequent uplink phase, the users send information by using the harvested energy to the H-AP. We consider two different cognitive WPCN protocols depending on the cooperation level between the primary transmitter and the secondary H-AP. For both cases, we formulate sum throughput maximization problems by taking the interference leakage to the primary network into consideration. The problems are generally non-convex due to coupled variables in the WPCN. To tackle this issue, we first convert the problems into equivalent convex forms, and then identify the global optimal solutions by applying the proposed iterative optimization algorithms. Finally, the simulation results demonstrate that the proposed algorithms outperform conventional schemes.
AB - In this paper, we study multi-user multi-input multi-output cognitive wireless powered communication networks (WPCN), in which a secondary WPCN shares spectrum with a primary wireless information transfer system. A typical WPCN consists of two different phases. In the first downlink phase, a hybrid access point (H-AP) transfers energy to charge users, and then in the subsequent uplink phase, the users send information by using the harvested energy to the H-AP. We consider two different cognitive WPCN protocols depending on the cooperation level between the primary transmitter and the secondary H-AP. For both cases, we formulate sum throughput maximization problems by taking the interference leakage to the primary network into consideration. The problems are generally non-convex due to coupled variables in the WPCN. To tackle this issue, we first convert the problems into equivalent convex forms, and then identify the global optimal solutions by applying the proposed iterative optimization algorithms. Finally, the simulation results demonstrate that the proposed algorithms outperform conventional schemes.
KW - Cognitive radio
KW - Energy harvesting
KW - Multiple-input multiple-output (MIMO) systems
KW - Wireless energy transfer
KW - Wireless powered communication networks (WPCN)
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U2 - 10.1109/TWC.2016.2633471
DO - 10.1109/TWC.2016.2633471
M3 - Article
AN - SCOPUS:85014952949
VL - 16
SP - 913
EP - 923
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 2
M1 - 7762179
ER -