Title page for etd-0705115-161257


[Back to Results | New Search]

URN etd-0705115-161257
Author TSAI-CHEN HSU
Author's Email Address No Public.
Statistics This thesis had been viewed 5568 times. Download 259 times.
Department Communications Engineering
Year 2014
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Optimal Resource Allocation in Fountain Coded Cognitive Radio Networks with Energy Harvesting Secondary Users
Date of Defense 2015-07-27
Page Count 54
Keyword
  • gradient search
  • resource allocation
  • cooperative communication
  • energy harvesting
  • cognitive radio network
  • fountain code
  • Abstract In recent years,people rely on mobile communication in their daily life due to rapid development of wireless communications, which leads to growing demand of wireless data transmission.With this regard,spectrum resources become more and more scarce and expensive.With the development of electronic devices,mobile devices have more and more powerful functions, leading to increase on energy consumption.Therefore, RF energy harvesting that converts RF signals into electricity has been investigated to extend the battery lifetime of smart devices.Scholars have suggested that it can be converted to electromagnetic energy reception.This paper considers cognitive radio networks with one pair of primary users(PU) and multiple pairs of secondary users(SU), where second transmitters harvest energy from signal transmitted by PU.One the other hand, SU acts as a relay to boost primary transmission.THus, SU can be allocated with longer time-period to transmit itsown signal.We investigate optimal resource allocation at secondary user to maximize SU's throughput subject to guaranteeing success of primary transmission.Due to we have multiple SUs, we will choose one optimal SU based on the maximal throughput according to the optimal resource allocation of respective SU.In order to enhance spectrum efficiency we adopt fountain coding to ecnode primary message at both PU and SU.This thesis aims to optimize the resource allocation of SUs in term of maximal throughput under the premise of successful primary transmission.Give the choice of SU, we derive close-form solution of optimal resource allocation maximum throughput.Finally, it shows through simulations that throughput of secondary transmission increases with the number of SU.
    Advisory Committee
  • Wei-Ho Chung - chair
  • Fan-Shuo Tseng - co-chair
  • Chao-Kai Wen - co-chair
  • Tsang-Yi Wang - co-chair
  • Wan-Jen Huang - advisor
  • Files
  • etd-0705115-161257.pdf
  • Indicate in-campus at 2 year and off-campus access at 2 year.
    Date of Submission 2015-08-25

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys