Name
Abstract | ||
|---|---|---|
In this study, the authors address the downlink resource (subchannels and power) allocation problem for device-to-device communication with wireless power transfer technique in a cellular network to improve the energy efficiency (EE). The considered problem is formulated as maximising the weighted EE and is solved by leveraging a game-theoretic learning approach. Specifically, they first prove tha... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-com.2015.1192 | IET Communications |
Keywords | Field | DocType |
cellular radio,energy conservation,game theory,learning (artificial intelligence),optimisation,radiofrequency power transmission,resource allocation | Mathematical optimization,Wireless power transfer,Potential game,Efficient energy use,Computer network,Resource allocation,Cellular network,Perfect information,Nash equilibrium,Mathematics,Telecommunications link | Journal |
Volume | Issue | ISSN |
11 | 3 | 1751-8628 |
Citations | PageRank | References |
1 | 0.43 | 19 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haibo Dai | 1 | 50 | 8.63 |
| Yongming Huang | 2 | 1472 | 146.50 |
| Chunguo Li | 3 | 379 | 53.04 |
| Shidang Li | 4 | 12 | 4.68 |
| Luxi Yang | 5 | 1180 | 118.08 |