SoftBox: A Customizable, Low-Latency, and Scalable 5G Core Network Architecture

Moradi, Mehrdad; Lin, Yikai; Mao, Z. Morley; Sen, Subhabrata; Spatscheck, Oliver

doi:10.1109/jsac.2018.2815429

Cited by 36 publications

(22 citation statements)

References 20 publications

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“…They also identified key performance indicators for consideration in designing and standardising 5G technology, including an analysis of critical connected mobility parameters, such as user and control plane latency, handover execution time and coverage. In 2018, Moradi et al [49] proposed a scalable architecture by combining SDN and NFV for a customisable and low-latency 5G core network. The system enabled the creation of custom services for user equipment with low latency and efficient signalling.…”

Section: Ultra-reliable Low-latency Communicationmentioning

confidence: 99%

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

et al. 2020

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The explosive popularity of small-cell and Internet of Everything devices has tremendously increased traffic loads. This increase has revolutionised the current network into 5G technology, which demands increased capacity, high data rate and ultra-low latency. Two of the research focus areas for meeting these demands are exploring the spectrum resource and maximising the utilisation of its bands. However, the scarcity of the spectrum resource creates a serious challenge in achieving an efficient management scheme. This work aims to conduct an in-depth survey on recent spectrum sharing (SS) technologies towards 5G development and recent 5G-enabling technologies. SS techniques are classified, and SS surveys and related studies on SS techniques relevant to 5G networks are reviewed. The surveys and studies are categorised into one of the main SS techniques on the basis of network architecture, spectrum allocation behaviour and spectrum access method. Moreover, a detailed survey on cognitive radio (CR) technology in SS related to 5G implementation is performed. For a complete survey, discussions are conducted on the issues and challenges in the current implementation of SS and CR, and the means to support efficient 5G advancement are provided.

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Section: Ultra-reliable Low-latency Communicationmentioning

confidence: 99%

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

et al. 2020

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“…PEPC [55] proposed functional composition in the context of cellular networks for efficient scaling and state space optimization. Similarly, Softbox [40] proposed scalable LTE core architecture by slicing and composing the core functionality as containerized per-UE EPC. In addition, Softbox supports mobility-aware mechanism to optimize the resource utilization of UE containers, thereby effectively steering traffic through per-UE containers using SDN-based rules.…”

Section: Related Workmentioning

confidence: 99%

MMLite

Nagendra

Bhattacharya

Gandhi

et al. 2019

Proceedings of the 2019 ACM Symposium on SDN Research

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With increase in cellular-enabled IoT devices having diverse traffic characteristics and service level objectives (SLOs), handling the control traffic in a scalable and resource-efficient manner in the cellular packet core network is critical. The traditional monolithic design of the cellular core adopted by service-providers is inflexible with respect to the diverse requirements and bursty loads of IoT devices, specifically for properties such as elasticity, customizability, and scalability. To address this key challenge, we focus on the most critical control plane component of the cellular packet core network, the Mobility Management Entity (MME). We present MMLite, a functionally decomposed and stateless MME design wherein individual control procedures are implemented as microservices and states are decoupled from their processing, thus enabling elasticity and fault tolerance. For SLO compliance, we develop a multi-level load balancing approach based on skewed consistent hashing to efficiently distribute incoming connections. We evaluate the performance benefits of MMLite over existing approaches with respect to scaling, fault tolerance, SLO compliance and resource efficiency.

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“…Following is a description of significant work conducted in the realm. Author's at [22] presented a novel approach, known as Softbox. The novel approach was able to reduce the signalling overhead, data plane delay and CPU usage.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Underlying Switching Mechanism for Future Networks with P4 and SDN (Workshop Paper)

Fernando

Xiao

Che

2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Software Defined Networking (SDN) was introduced with a philosophy of decoupling the control plane from the data plane which facilitates network management while ensuring programmability in order to improve performance and monitoring. OpenFlow which enabled SDN was first introduced to match twelve header fields whilst at current it matches forty one which is expected to grow exponentially. Therefore future networks must have the ability to flexibly parse packets through a common interface. Programming Protocol independent Packet Processing (P4) was introduced to achieve the aforementioned by programming the underlying switch, providing instructions and utilizing APIs to populate the forwarding tables. A P4 programmed switch will forward packets through a parser into multiple stages of match+action tables to find the destination node which is considered the most efficient mechanism for routing. This paper takes into the account the latest platform developed for service providers, Open Networking Operating System (ONOS) to deploy two environments configured in the aforementioned technologies in order to test their performance. Four case studies were drawn which were simulated in Mininet which incorporated SDN + P4 switches. A significant increase of performances were recorded when compared with the the performance of cases using SDN only.

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SoftBox: A Customizable, Low-Latency, and Scalable 5G Core Network Architecture

Cited by 36 publications

References 20 publications

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

MMLite

Evaluation of Underlying Switching Mechanism for Future Networks with P4 and SDN (Workshop Paper)

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