In this study, optimal pricing and user cooperation schemes are considered in a wireless powered communication network (WPCN), where multiple users harvest energy from a dedicated hybrid access point (HAP, as a power station in the downlink) and transmit their independent information to HAP (as an information receiving station in the uplink) by using the harvested energy. Due to the doubly near-far problem, best cooperation-user selection scheme where the dedicated helping user which is nearer to the H-AP and in general has better channel condition both for DL energy harvesting as well as UL information transmission from source user uses its harvested energy to help forward the source user’s information to H-AP is proposed. Moreover, in the WPCN, the energy is scarce, users have incentive to refuse to cooperate in order to conserve resource. We propose a pricing mechanism to incentivize the helping user to cooperate the uplink transmission. Two transmission protocols for source-user centric and helping-user centric with pricing mechanism are investigated. We formulate the pricing and resource allocation problem as optimization problem and propose efficient algorithms by jointly user-selection and resource allocation to maximize the energy efficient and price-performance ratio. Numerical results show that the proposed scheme with pricing can enhance the source user’s performance with lower cost. Moreover, the pricing mechanisms can incentivize the helping user to cooperate other users’ to decrease the system energy cost.
Wireless Personal Communications – Springer Journals
Published: Apr 22, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera