Abstract
As a novel wireless network architecture, cloud radio access network (C-RAN) can significantly reduce the cost of operations and maintenance as well as providing lower power consumption and higher spectral efficiency. However, the huge load on the fronthaul network which connects the baseband unit (BBU) and the large number of remote radio heads (RRHs) is a significant challenge. To reduce the fronthaul load, this paper proposes a data compression and recovery scheme based on compressive sensing (CS) for the uplink C-RAN scenario. The numerical results show that proposed compression scheme can be effectively applied to the uplink of a cell-free C-RAN system.
| Original language | English |
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| Title of host publication | 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538676462 |
| DOIs | |
| Publication status | Published - Apr 2019 |
| Event | 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 - Marrakesh, Morocco Duration: 15 Apr 2019 → 19 Apr 2019 |
Publication series
| Name | IEEE Wireless Communications and Networking Conference, WCNC |
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| Volume | 2019-April |
| ISSN (Print) | 1525-3511 |
Conference
| Conference | 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 |
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| Country/Territory | Morocco |
| City | Marrakesh |
| Period | 15/04/19 → 19/04/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- 'cell-free'
- Cloud radio access network
- compressive sensing
- fronthaul loading