2019/08/30 by Onel L. Alcaraz López, López, Onel L. Alcaraz, Hirley Alves +7
Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #Networking and Internet Architecture (cs.NI) #Wireless Power Transfer Systems
paper · pdf · doi:10.48550/arxiv.1909.09203
openalex publication_date 2019/08/30 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
We consider a two-phase Wireless-Powered Communication Network under\nNakagami-m fading, where a wireless energy transfer process first powers a\nsensor node that then uses such energy to transmit its data in the wireless\ninformation transmission phase. We explore a fixed transmit rate scheme\ndesigned to cope with the reliability and delay constraints of the system while\nattaining closed-form approximations for the optimum wireless energy transfer\nand wireless information transmission blocklength. Then, a more-elaborate rate\ncontrol strategy exploiting the readily available battery charge information is\nproposed and the results evidence its outstanding performance when compared\nwith the fixed transmit rate, for which no battery charge information is\navailable. It even reaches an average rate performance close to that of an\nideal scheme requiring full Channel State Information at transmitter side.\nNumerical results show the positive impact of a greater number of antennas at\nthe destination, and evidence that the greater the reliability constraints, the\nsmaller the message sizes on average, and the smaller the optimum information\nblocklengths. Finally, we corroborate the appropriateness of using the\nasymptotic blocklength formulation as an approximation of the non-asymptotic\nfinite blocklength results.\n