Abstract
The drastic growth of mobile traffic greatly challenges the capacity of mobile infrastructures. Dense deployment of low-power small cells helps alleviate the congestion in the radio access network, yet it also introduces large complexity for network management. Software-defined radio access network has been proposed to tackle the added complexity. However, existing software-defined solutions rely on a fully centralized control plane to make decisions for the whole network, which greatly limits the scalability and responsiveness of the control plane. In this paper, we propose a hierarchical software-defined radio access network architecture. The proposed architecture leverages the hierarchical structure of radio access networks, deploying additional local controllers near the network edge. Utilizing the intrinsic locality in radio access networks, it offloads control tasks from the central controller to local controllers with limited overhead introduced. Under the architecture, a distributed optimization framework is proposed, and a typical optimization problem is studied to illustrate the effectiveness of the proposed architecture and framework. Both analysis and experiments validate that the proposed architecture and framework can improve the network objective during the optimization, meanwhile balancing load and improving scalability and responsiveness.
| Original language | English |
|---|---|
| Article number | 7893766 |
| Pages (from-to) | 8623-8636 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 67 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 1 Sep 2018 |
| MoE publication type | Not Eligible |
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Keywords
- Distributed optimization
- mobile 5G HetNets
- radio access network
- software-defined networking
Cite this
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HSDRAN : Hierarchical software-defined radio access network for distributed optimization. / Yu, Ruozhou; Xue, Guoliang; Bennis, Mehdi; Chen, Xianfu; Han, Zhu.
In: IEEE Transactions on Vehicular Technology, Vol. 67, No. 9, 7893766, 01.09.2018, p. 8623-8636.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - HSDRAN
T2 - Hierarchical software-defined radio access network for distributed optimization
AU - Yu, Ruozhou
AU - Xue, Guoliang
AU - Bennis, Mehdi
AU - Chen, Xianfu
AU - Han, Zhu
PY - 2018/9/1
Y1 - 2018/9/1
N2 - The drastic growth of mobile traffic greatly challenges the capacity of mobile infrastructures. Dense deployment of low-power small cells helps alleviate the congestion in the radio access network, yet it also introduces large complexity for network management. Software-defined radio access network has been proposed to tackle the added complexity. However, existing software-defined solutions rely on a fully centralized control plane to make decisions for the whole network, which greatly limits the scalability and responsiveness of the control plane. In this paper, we propose a hierarchical software-defined radio access network architecture. The proposed architecture leverages the hierarchical structure of radio access networks, deploying additional local controllers near the network edge. Utilizing the intrinsic locality in radio access networks, it offloads control tasks from the central controller to local controllers with limited overhead introduced. Under the architecture, a distributed optimization framework is proposed, and a typical optimization problem is studied to illustrate the effectiveness of the proposed architecture and framework. Both analysis and experiments validate that the proposed architecture and framework can improve the network objective during the optimization, meanwhile balancing load and improving scalability and responsiveness.
AB - The drastic growth of mobile traffic greatly challenges the capacity of mobile infrastructures. Dense deployment of low-power small cells helps alleviate the congestion in the radio access network, yet it also introduces large complexity for network management. Software-defined radio access network has been proposed to tackle the added complexity. However, existing software-defined solutions rely on a fully centralized control plane to make decisions for the whole network, which greatly limits the scalability and responsiveness of the control plane. In this paper, we propose a hierarchical software-defined radio access network architecture. The proposed architecture leverages the hierarchical structure of radio access networks, deploying additional local controllers near the network edge. Utilizing the intrinsic locality in radio access networks, it offloads control tasks from the central controller to local controllers with limited overhead introduced. Under the architecture, a distributed optimization framework is proposed, and a typical optimization problem is studied to illustrate the effectiveness of the proposed architecture and framework. Both analysis and experiments validate that the proposed architecture and framework can improve the network objective during the optimization, meanwhile balancing load and improving scalability and responsiveness.
KW - Distributed optimization
KW - mobile 5G HetNets
KW - radio access network
KW - software-defined networking
UR - http://www.scopus.com/inward/record.url?scp=85053781369&partnerID=8YFLogxK
U2 - 10.1109/TVT.2017.2691735
DO - 10.1109/TVT.2017.2691735
M3 - Article
VL - 67
SP - 8623
EP - 8636
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 9
M1 - 7893766
ER -