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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 48667 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Nasiri-kenari, Masoumeh; Ashtiani, Farid
- Abstract:
- Considering energy efficiency ways a key role in designing future wireless networks( 5G mobile networks). Moreover Spectrum efficiency is another critical issues in designing wireless networks. Cognitive radios can improve the spectrum efficiency. On the other hand, radio frequency (RF) energy harvesting has emerged as a promising technique to supply energy for wireless networks and thereby increase their energy efficiency. In this thesis, we propose a new technique for the RF-powered CRNs.To this end,We consider a cognitive radio network comprised of a primary user and a secondary user. The primary user, uses a typical frequency band for transmit data in a time slot basis and both the primary and secondary users comply with the same time slot structure. Therefore, in one time slot, a channel can be idle or busy (i.e., free or occupied by the primary user for data transmission). Secondary user make a decision according to system state that consisting of energy level of its energy storage and the number of packets in its data queue as well as quality of channel. There are three action for secondary user to select according to its states. We also consider interference constraint on the primary user. We formulate our scenario as a Constrained Markov decision process (CMDP) problem to maximize the secondary throughput and minimum the average delay of the secondary packets, distinctly.We show that our proposed optimal policy outperform the previse scenario
- Keywords:
- Cognitive Radio ; Energy Harvesting ; Fifth Generation of Mobile Networks ; Delay ; Gain ; Optimal Policy ; Constrained Markov Decision Process
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