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"Optimizing Data Rate and Energy Delivery in Heterogeneous Radio-Freque" by Muhammad Zeeshan Sarwar

Wireless Power Transfer (WPT) will be a key enabler of Internet-of-Things (IoT) networks that consist of low-power devices that harvest energy from Radio Frequency (RF) signals emitted by base stations or access points. Hence, future networks will likely have both low-power RF-energy harvesting devices as well as legacy users such as laptops. In particular, both devices and users will share the same wireless channel to receive RF energy as well as transmit data.
To ensure they share the spectrum efficiently, this thesis considers resource allo- cation problems in Orthogonal Frequency Division Multiple access (OFDMA) net- works. In particular, it considers sub-band/sub-carrier allocation problems that aim to meet the requirement of low-power devices and legacy users when they co-exist in the same network. Specifically, for low-power devices, developed solutions must en- sure low-power devices receive sufficient energy to collect samples or have sufficient energy to transmit frequentl ....

Networks Hetnets , Integer Non Linear Program , Orthogonal Frequency Division , Power Transfer , Radio Frequency , Orthogonal Frequency Division Multiple , Mixed Integer Non Linear Program , Heterogeneous Networks , Ulti Cell Networks , Resource Allocation , Ultra Dense Networks , ஆர்த்தோகனல் அதிர்வெண் பிரிவு , பவர் பரிமாற்றம் , வானொலி அதிர்வெண் , கலப்பு முழு அல்லாத நேரியல் ப்ரோக்ர்யாம் ,