Wireless Full-Duplex Medium Access Control for Enhancing Energy Efficiency
書誌事項
- 公開日
- 2018-03
- 資源種別
- journal article
- 権利情報
-
- https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html
- DOI
-
- 10.1109/tgcn.2017.2756883
- 10.48550/arxiv.1704.00058
- 公開者
- Institute of Electrical and Electronics Engineers (IEEE)
説明
Recent years have witnessed a proliferation of battery-powered mobile devices, e.g., smartphones, tablets, sensors, and laptops, which leads a significant demand for high capacity wireless communication with high energy efficiency. Among technologies to provide the efficiency is full-duplex wireless communication. Full-duplex wireless enhances capacity by simultaneously transmitting uplink and downlink data with limited frequency resources. Previous studies on full-duplex wireless mostly focuses on doubling the network capacity, whereas in this paper we discuss that full-duplex wireless can also provide higher energy efficiency. We propose low power communication by wireless full-duplexing (LPFD), focusing on the fact that the full-duplex communication duration becomes half of the halfduplex communication duration. In the LPFD, by using the sleep state in which the transceiver provided in the wireless communication terminal is turned off, power consumption of the wireless communication terminal is reduced and energy efficiency in wireless full duplex is improved. Simulation results show that the energy efficiency achieved by LPFD is up to approximately 17.3 times higher than the energy efficiency achieved by existing full-duplex medium access protocol. Further, it is up to approximately 27.5 times higher than the energy efficiency using power saving mode of half-duplex communication.
30 pages, 23 figures, Submitted to IEEE Transactions on Green Communications and Networking
収録刊行物
-
- IEEE Transactions on Green Communications and Networking
-
IEEE Transactions on Green Communications and Networking 2 (1), 205-221, 2018-03
Institute of Electrical and Electronics Engineers (IEEE)
- Tweet
キーワード
詳細情報 詳細情報について
-
- CRID
- 1360004235404055808
-
- ISSN
- 24732400
-
- 資料種別
- journal article
-
- データソース種別
-
- Crossref
- KAKEN
- OpenAIRE