Statistical multiplexing and pilot optimization in fronthaul-constrained massive MIMO
Abstract Cloud-radio access network (C-RAN) has been an attractive solution in the recent years for the future generation mobile networks due to its promising benefits. However, the transport link between the remote radio unit (RRU) and the baseband unit (BBU), known as fronthaul (FH), imposes strin...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-08-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-018-1212-4 |
| _version_ | 1818535391851970560 |
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| author | Jay Kant Chaudhary Jens Bartelt Gerhard Fettweis |
| author_facet | Jay Kant Chaudhary Jens Bartelt Gerhard Fettweis |
| author_sort | Jay Kant Chaudhary |
| collection | DOAJ |
| description | Abstract Cloud-radio access network (C-RAN) has been an attractive solution in the recent years for the future generation mobile networks due to its promising benefits. However, the transport link between the remote radio unit (RRU) and the baseband unit (BBU), known as fronthaul (FH), imposes stringent requirements in terms of data rate, latency, jitter, and synchronization. In the conventional C-RAN, the FH capacity scales linearly with the number of the transmitting antennas, which has posed severe demands on the FH capacity, especially due to emerging 5G technologies such as massive MIMO. However, this can be relaxed by performing precoding at the RRUs instead of centrally at BBU, leading to FH traffic which depends on the number of currently served users. This paper adapts queueing model and spatial traffic model to exploit randomness of the user traffic to achieve statistical multiplexing gain. Through this, we showed that the required FH capacity can be reduced significantly, depending on traffic demand and its statistical properties. Furthermore, we analyzed the impacts of pilots on capacity-constrained FH. |
| first_indexed | 2024-12-11T18:24:15Z |
| format | Article |
| id | doaj.art-5f781e140dfe48de9260a6f6af609a85 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-11T18:24:15Z |
| publishDate | 2018-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-5f781e140dfe48de9260a6f6af609a852022-12-22T00:55:09ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-08-012018111110.1186/s13638-018-1212-4Statistical multiplexing and pilot optimization in fronthaul-constrained massive MIMOJay Kant Chaudhary0Jens Bartelt1Gerhard Fettweis2Vodafone Chair Mobile Communications Systems, Technische UniversitätVodafone Chair Mobile Communications Systems, Technische UniversitätVodafone Chair Mobile Communications Systems, Technische UniversitätAbstract Cloud-radio access network (C-RAN) has been an attractive solution in the recent years for the future generation mobile networks due to its promising benefits. However, the transport link between the remote radio unit (RRU) and the baseband unit (BBU), known as fronthaul (FH), imposes stringent requirements in terms of data rate, latency, jitter, and synchronization. In the conventional C-RAN, the FH capacity scales linearly with the number of the transmitting antennas, which has posed severe demands on the FH capacity, especially due to emerging 5G technologies such as massive MIMO. However, this can be relaxed by performing precoding at the RRUs instead of centrally at BBU, leading to FH traffic which depends on the number of currently served users. This paper adapts queueing model and spatial traffic model to exploit randomness of the user traffic to achieve statistical multiplexing gain. Through this, we showed that the required FH capacity can be reduced significantly, depending on traffic demand and its statistical properties. Furthermore, we analyzed the impacts of pilots on capacity-constrained FH.http://link.springer.com/article/10.1186/s13638-018-1212-4Cloud-radio access network (C-RAN)FronthaulMassive MIMOOutage probabilityPilot optimizationQueueing model |
| spellingShingle | Jay Kant Chaudhary Jens Bartelt Gerhard Fettweis Statistical multiplexing and pilot optimization in fronthaul-constrained massive MIMO EURASIP Journal on Wireless Communications and Networking Cloud-radio access network (C-RAN) Fronthaul Massive MIMO Outage probability Pilot optimization Queueing model |
| title | Statistical multiplexing and pilot optimization in fronthaul-constrained massive MIMO |
| title_full | Statistical multiplexing and pilot optimization in fronthaul-constrained massive MIMO |
| title_fullStr | Statistical multiplexing and pilot optimization in fronthaul-constrained massive MIMO |
| title_full_unstemmed | Statistical multiplexing and pilot optimization in fronthaul-constrained massive MIMO |
| title_short | Statistical multiplexing and pilot optimization in fronthaul-constrained massive MIMO |
| title_sort | statistical multiplexing and pilot optimization in fronthaul constrained massive mimo |
| topic | Cloud-radio access network (C-RAN) Fronthaul Massive MIMO Outage probability Pilot optimization Queueing model |
| url | http://link.springer.com/article/10.1186/s13638-018-1212-4 |
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