A thresholding-based antenna switching in MIMO cognitive radio networks with SWIPT-enabled secondary receiver
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Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2017-07-31Online Publication Date
2017-07-31Print Publication Date
2017-05Permanent link to this record
http://hdl.handle.net/10754/625709
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Simultaneous wireless power and information transfer (SWIPT) in a cognitive radio (CR) network is considered where a multiple antenna energy harvesting (EH) secondary receiver (SR) harvests the energy using the antenna switching (AS) technique. In fact, the AS technique selects a subset of the SR antennas to decode the information (namely the information decoding (ID) antennas) and the rest to harvest the energy (namely the EH antennas). In this context, we propose a thresholding-based antenna selection strategy, termed as the prioritizing data selection (PDS) scheme, which selects the ID antennas such that the received power from the secondary transmitter (ST) at these antennas is above a certain threshold. For this scheme, we derive the analytic expressions of the probability mass function (PMF) of the selected ID antennas, the average harvested energy, and the outage probability. In the simulation results, we illustrate the performance of the PDS scheme and we compare it to the prioritizing energy selection (PES) scheme which selects the EH antennas such that the received power from ST at these antennas is above a certain threshold. For both schemes, we show that there is a tradeoff between the outage probability and the average harvested energy.Citation
Benkhelifa F, Alouini M-S (2017) A thresholding-based antenna switching in MIMO cognitive radio networks with SWIPT-enabled secondary receiver. 2017 IEEE International Conference on Communications (ICC). Available: http://dx.doi.org/10.1109/ICC.2017.7996411.Conference/Event name
2017 IEEE International Conference on Communications, ICC 2017Additional Links
http://ieeexplore.ieee.org/document/7996411/ae974a485f413a2113503eed53cd6c53
10.1109/ICC.2017.7996411