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Cross-layer congestion control and quality of services in mobile networks

Abstract : The mobile network is a hybrid network with Radio Access part and the fixed backhaul core network. The congestion control algorithms(CCA) designed for a specific type of system may not work as well in the other kind of network, especially the network with hybrid feature device like the mobile edge network. Generally, the bottleneck in a mobile network is the Radio access part. However, this is not always the case since multiple radio base stations or packet delivery network gateway can be sharing the same bottleneck in the packet delivery backhaul. In this thesis, we start from a cross-layer method and address the issue with a ubiquitous solution. The first algorithm we analysed is called CQIC, which get the PHY layer of UE involved in the congestion control design. An improvement from 3G CQIC to LTE scenario is proposed named DCIC. This algorithm uses the Downlink Control Indicator(DCI) instead of Channel Quality Indicator(CQI) to save the computation power on UE and take the scheduling result of eNB into consideration. Further, we evaluated current BBR algorithm, which focuses on the data centre network, in the mobile scenario. Most conventional CCA does not take the uplink BW degradation and other features in the cellular system into consideration in its bandwidth estimation method. Based on the review, we proposed the five tradeoff objectives to guide the CCA design in a mobile hybrid type of network: Bandwidth Utilisation, Delay (where loss is the extreme expression of delay), Fairness, Simplicity and Genericity. Based on the tradeoffs and goals, we proposed CDBE, a TCP clientside driven bandwidth estimation(CDBE) and report feedback loop. The client-side BW estimation method takes only little computation capability in the second version, compared to its first version and the DCIC. Cooperate with the enhanced server-side state transition CDBE can achieve a fair share of BW in both fixed packet core network or mobile network with a lower cost of RTT compared to conventional CCAs. No extra middlebox or edge computing unit/applications is required in CDBE architecture.
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Submitted on : Thursday, July 30, 2020 - 1:36:11 PM
Last modification on : Wednesday, January 26, 2022 - 2:31:29 PM
Long-term archiving on: : Tuesday, December 1, 2020 - 9:59:53 AM


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  • HAL Id : tel-02909406, version 1


Zhenzhe Zhong. Cross-layer congestion control and quality of services in mobile networks. Networking and Internet Architecture [cs.NI]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAT022⟩. ⟨tel-02909406⟩



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