Kang Kang, Zhenni Pan, Jiang Liu, Shigeru Shimamoto
Graduate School of Fundamental Science and Engineering, Waseda University, Japan
ABSTRACT
This paper studies the emerging wireless energy harvesting algorithm dedicated for machine type communication
(MTC) in a typical cellular network where one transmitter (e.g. the base station, a hybrid
access point) with constant power supply communicates with a set of users (e.g. wearable devices,
sensors). In the downlink direction, the information transmission and power transfer are conducted simultaneously
by the base station. Since MTC only transmits several bits control signal in the downlink
direction, the received signal power can be split into two parts at the receiver side. One is used for
information decoding and the other part is used for energy harvesting. Since we assume that the users
are without power supply or battery, the uplink transmission power is totally from the energy harvesting.
Then, the users are able to transmit their measured or collected data to the base station in the
uplink direction. Game theory is used in this paper to exploit the optimal ratio for energy harvesting
of each user since power splitting scheme is adopted. The results show that this proposed algorithm is
capable of modifying dynamically to achieve the prescribed target downlink decoding signal-to-noise
plus interference ratio (SINR) which ensures the high reliability of MTC while maximizing the uplink
throughput.
KEYWORDS
Energy harvesting, decoding SINR, uplink throughput maximization
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