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.
Highlights
Recent years, wireless power transfer is emerging as a possible solution to address the power supply issue in wireless communications
An energy harvesting control algorithm is proposed for future wireless powered machine type communication (MTC) networks by involving a non-cooperative game model
Since the high reliability of MTC has to be satisfied with the highest priority, we firstly ensure the downlink decoding signal-to-noise plus interference ratio (SINR) achieve the prescribed target decoding SINR, and we improve the uplink throughput as much as Target decoding SINR = -1 dB
Summary
Wireless power transfer is emerging as a possible solution to address the power supply issue in wireless communications. Terminals in wireless networks are powered by fixed energy supplies, e.g. power lines and batteries. For most mobile terminals and remote deployed terminals (e.g. temperature sensor and wind speed monitor), they are mainly supplied by batteries, which extremely limits the lifetime [1]. Sometimes because of the unreachable deployment location, it is impossible or extremely difficult to replace or charge the battery. Wireless energy transfer is considered as an alternative solution to extend the working time of the network by transfer unlimited power via a wireless method
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