Abstract
Full Duplex(FD) network is considered as efficient scheme which could service both downlink(DL) and uplink(UL) users by same resource while HD can serve only DL or UL user for each resource. By optimized user scheduling with power control, optimal spectral efficiency could be achieved but optimization problem is non-linear and complex thus it is hard to implement. Low complexity relaxed optimization problem is proposed to solve resource allocation to minimize the transmission completion time in FD network. By adopting proposed scheme, suboptimal solution can be found in linear problem with significantly lower complexity.
| Original language | English |
|---|---|
| Title of host publication | 2017 23rd Asia-Pacific Conference on Communications |
| Subtitle of host publication | Bridging the Metropolitan and the Remote, APCC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781740523905 |
| DOIs | |
| Publication status | Published - 2018 Feb 27 |
| Event | 23rd Asia-Pacific Conference on Communications, APCC 2017 - Perth, Australia Duration: 2017 Dec 11 → 2017 Dec 13 |
Publication series
| Name | 2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017 |
|---|---|
| Volume | 2018-January |
Other
| Other | 23rd Asia-Pacific Conference on Communications, APCC 2017 |
|---|---|
| Country | Australia |
| City | Perth |
| Period | 17/12/11 → 17/12/13 |
Bibliographical note
Funding Information:This work was partly supported by Institute for Information & communications Technology Promotion(llTP) grant funded by the Korea government(MSIT) (2015-0-00300, Multiple Access Technique with Ultra-Low Latency and High Efficiency for Tactile Internet Services in loT Environments) and Institute for Information & communications Technology Promotion(llTP) grant funded by the Korea government(MSIT) (2016-0-00208, High Accurate Positioning Enabled MIMO Transmission and Network Technologies for Next 5G-V2X(vehicle-to-everything) Services)
Publisher Copyright:
© 2017 University of Western Australia.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Signal Processing