Jiuren Qin

Beijing University of Posts and Telecommunications

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Changqiao Xu

Beijing University of Posts and Telecommunications

Lujie Zhong

Capital Normal University

Gabriel‐Miro Muntean

Dublin City University

Kai Gao

Beijing University of Posts and Telecommunications

Ping Zhang

Beijing University of Posts and Telecommunications

Xiang Ji

Zhejiang University

Kai Gao

Sichuan University

Shujie Yang

Beijing University of Posts and Telecommunications

Zhaoxue Wang

Capital Normal University

Hui Huang

Institute of Scientific and Technical Information

Cooperative Institutions

Beijing University of Posts and Telecommunications

State Key Laboratory of Networking and Switching Technology

Chinese Academy of Sciences

Central South University

Chongqing University of Posts and Telecommunications

University of Chinese Academy of Sciences

Beijing Jiaotong University

Chongqing University

University of Science and Technology of China

University of Macau

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Freshness-Aware Age Optimization for Multipath TCP Over Software Defined Networks

IEEE Transactions on Network Science and Engineering (2021)

Kai Gao Changqiao Xu Xiang Ji Jiuren Qin Shujie Yang

Recently increasing real-time network applications have raised a new requirement for the future 6G network transmission, which desires the information-update packets arrive at the receiver as timely as possible. Multipath TCP (MPTCP) can be employed in the real-time update transmission system by making use of multiple paths so as to promote the information status update. However, current optimization solutions of MPTCP focus on traditional transmission performance such as throughput, delay, loss, jitter, etc. None of these works considers the freshness metric for MPTCP to satisfy the real-time demands. What's more, most works about transmission model in Software Defined Network (SDN) are based on packet-level analysis without considering flow-level situation. In order to fill these gaps, this paper proposes a novel freshness-aware age optimization solution for MPTCP (FAMT) over SDN. FAMT introduces a new four-tuples to describe the transmission state in the SDN architecture. Then FAMT classifies the whole transmission process into two phases: connection establish phase and data transmission phase. Based on the two phases, FAMT evaluates and defines the age of information for different situations. In addition, FAMT designs an innovative age-assisted fluid model of MPTCP which can realize the four goals effectively.

Multipath TCP

10.1109/tnse.2021.3075704

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Citations (8)

A Stochastic Optimal Scheduler for Multipath TCP in Software Defined Wireless Network

Kai Gao Changqiao Xu Jiuren Qin Lujie Zhong Gabriel‐Miro Muntean

Multipath TCP (MPTCP) can take advantage of multiple paths to transmit data and has been deeply optimized by many researchers. However, most researchers only devote themselves to improve the transmission performance, neglecting the price cost which is another factor that users are concerned about. This paper proposes a novel stochastic optimal scheduler for MPTCP (SOS-MPTCP) that utilizes Lyapunov optimization technique in software defined wireless network (SDWN). SOS-MPTCP analyzes and solves the trade-off problem between the performance and price cost from users' perspective. Besides, with the help of centralized optimization in SDWN architecture, the controller can feed status information of each path back to mobile terminals for SOS-MPTCP to make decisions. SOS-MPTCP includes three control decisions: 1) packets admission control; 2) packets distribution control; 3) data traffic purchasing control. SOS-MPTCP aims to maximize the throughput and minimize the price cost for users. Experiment results have proved the efficiency of trade-off optimization and the transmission system can achieve the expected stability.

Multipath TCP

Lyapunov optimization

10.1109/icc.2019.8761974

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Citations (14)

MO-PR: Message-Oriented Partial-Reliability MPTCP for Real-time Multimedia Transmission in Wireless Networks

Jiuren Qin Changqiao Xu Hui Huang Lujie Zhong Gabriel‐Miro Muntean

As an extension of Transmission Control Protocol (TCP), Multi-Path Transport Control Protocol (MPTCP) provides a reliable and streaming-oriented transmission service to the upper applications. However, when turning to the real-time multimedia transmission, the repeatedly retransmission of expired segments is unnecessary and inefficient. Thus, we propose a Message-Oriented Partial-Reliability (MO-PR) improvement for MPTCP in this paper. The MO-PR firstly extend the Partially-Reliability transmission scheme to MPTCP which allows the sender to abandon the invalid segment by notifying the receiver. Then, the Message-Oriented retransmission mechanism is designed to improve the discarding efficiency. Finally, the comparison-based simulation results show that MO-PR can effectively improve the transmission performance of multimedia in dynamic wireless networks.

Retransmission

10.1109/iwcmc.2018.8450509

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Reinforcement Learning-Based Mobile AR/VR Multipath Transmission With Streaming Power Spectrum Density Analysis

IEEE Transactions on Mobile Computing (2021)

Changqiao Xu Jiuren Qin Ping Zhang Kai Gao Luigi Alfredo Grieco

Multi-path transmission control protocol (MPTCP) is an extension of TCP that enables the concurrent transmission of information through different network interfaces (e.g., Cellular, Wi-Fi, 802.11p, and so on) available at terminal side. It is well known that MPTCP can provide significant advantages in bandwidth aggregation and transmission stability. Unfortunately, path diversity can limit bandwidth aggregation efficiency and incur higher delays. These issues become critical when in presence of emerging mobile AR and VR applications, which are bandwidth hungry, time-sensitive and exhibit abrupt variations of the bitrate. To address these issues, we propose the R einforcement L earning-based mobile AR/VR multipath transmission with streaming P ower S pectrum D ensity analysis (RL-PSD). RL-PSD analyses the Power Spectrum Density (PSD) of the AR/VR input stream to extract its features. Then, both the input stream and network features are considered to model the MPTCP congestion control as an reinforcement learning process. Finally, a two-stage reinforcement algorithm is proposed to optimize transmission performance. RL-PSD has been tested in both single-terminal and multi-terminal scenarios: results show that it outperforms the other advanced solutions conceived to support the multipath transmission of AR/VR streams.

10.1109/tmc.2021.3082912

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Mobility-aware multimedia data transfer using Multipath TCP in Vehicular Network

Danyang Zhu Changqiao Xu Jiuren Qin Zan Zhou Jianfeng Guan

This paper proposed a mobility-aware multimedia data transfer mechanism using Multipath TCP in Vehicular Network. Since high transmission rate and low latency are the two key factors for multimedia data transmission that could provide stable video streaming services, therefore, we first adopted Multipath Transport Control Protocol which can transfer data concurrently for improving transmission rate and designed Quality-aware Data Distribution to dynamically allocate the data to different subflows. Moreover, in Vehicular Network, the mobile terminal, which means the vehicle, can communicate with remote server through roadside unit (RSU). However, the communication link between terminals and remote server will disrupt while the vehicle exceeding the communication range of roadside unit; and there also exists the situation that the vehicle is in the communication range of several RSU. Accordingly, we exploited a mobility-aware distance measurement for checking whether the vehicle has moved out of the communication range of any RSU or it is in multi-RSU's communication range. Afterwards, we designed a handover mechanism which transfer data to connected path (4G) for stable transmission using MPTCP when the vehicle exceeded the communication range of RSU; while one mobile can communicate with more than one RSU, we exploited a mechanism which can trigger new path for multipath data transmission and non-corporation Nash Equilibria was employed for solving the problem of fairness in the same kind of network technology multipath transmission. Simulation results show how mobility-aware multimedia data transfer mechanism improve the performance of transmission comparison with state-of-art solution.

10.1109/iwcmc.2017.7986429

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GCH-MV: Game-Enhanced Compensation Handover Scheme for Multipath TCP in 6G Software Defined Vehicular Networks

IEEE Transactions on Vehicular Technology (2020)

Kai Gao Changqiao Xu Ping Zhang Jiuren Qin Lujie Zhong

The latest developments in terms of self-driving technologies have increased the demand for high quality data transmission in vehicular networks. However, frequent handovers among the Road Side Units (RSUs) cause degradation of data transmission performance, especially in the context of high-speed mobility. In order to address this problem, a novel game-enhanced compensation handover scheme (GCH-MV) for multipath TCP in 6G software defined vehicular networks is proposed. An innovative system architecture which integrates 6G communication solutions, SDN and multipath techniques is presented. GCH-MV redesigns the fluid model of Multipath TCP (MPTCP) to compensate for the declining throughput by using multiple paths. GCH-MV transfers traffic quickly between different paths, adapting the transmission to path quality and maintain high throughput. In addition, an innovative game-based optimal candidate RSU selection algorithm, employed by GCH-MV during the handover process, is also introduced. GCH-MV uses these solutions to achieve its goal to mitigate the negative impact of handover as much as possible and make the handover process smooth and transparent. Experimental results show how GCH-MV outperforms the existing solutions in terms of several quality of service (QoS) metrics, addressing efficiently the data transfer quality problem during handover in highly mobile vehicular networks.

Multipath TCP

10.1109/tvt.2020.3042987

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A Q-Learning Driven Energy-Aware Multipath Transmission Solution for 5G Media Services

IEEE Transactions on Broadcasting (2022)

Lujie Zhong Xiang Ji Zhaoxue Wang Jiuren Qin Gabriel‐Miro Muntean

Supported by the latest evolution of the 5G technologies, Augmented Reality (AR) & Virtual Reality (VR) video streaming services are experiencing an unprecedented growth.However, the transmission issues caused by heterogeneous access and dynamic traffic are still challenging 5G communications.The Internet Engineering Task Force (IETF)'s Multipath Transmission Control Protocol (MPTCP) can aggregate bandwidth and balance traffic across multiple subflows in a heterogeneous network environment.However, in order to support delivery of high quality 5G media services, researchers should also address MPTCP's inefficient data scheduling to heterogenous sub-paths, consideration of multiple criteria, including energy consumption and its inconsistent behavior when employed along with the Dynamic Adaptive Streaming over HTTP (DASH) adaptive application layer protocol.To address these issues, we propose a Q-Learning driven Energy-aware Data Scheduling (QLE-DS) mechanism for MPTCP-based media services.QLE-DS models the multipath scheduling as a Q-learning process and employs a novel quantum clustering approach to discretize the high dimensional continuous Q-table.An asynchronous framework is designed to improve the learning efficiency of QLE-DS.The simulation results show that QLE-DS performs better than other MPTCP scheduling algorithms in terms of flow completion time (FCT), retransmission rate, and energy consumption.

Retransmission

Multipath TCP

10.1109/tbc.2022.3147098

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Citations (11)

A Stochastic Optimal Scheduler for Multipath Transmission Control Protocol (MPTCP)

Kai Gao Jiuren Qin Changqiao Xu

This memo presents a new stochastic optimal scheduler for the Multipath Transmission Control Protocol (MPTCP). The new scheduler is based on the Lyapunov optimatization technique, which can make online control decision for data scheduling. Considering the payment of users for different paths, this memo makes a trade off between the throughput utility and the cost. The new scheduler can not only satisfy the demand of service, but also minimize the cost as much as possible.

Multipath TCP

Lyapunov optimization

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A Message-Oriented Extension to Multipath Transmission Control Protocol (MPTCP)

Hongke Zhang Lei Zhu Chunshan Xiong Jiuren Qin Changqiao Xu

This memo specifies a message-oriented extension for Multipath TCP (MPTCP) which aims to serve high-bandwidth and real-time applications. By introducing a message mapping to MPTCP, Message- Oriented MPTCP (MO-MPTCP) attaches some message features like boundaries, priority and dependency to bytestream. With such message-oriented information, MPTCP senders can avoid the waste of transmission resources and improve the transmission efficiency.

Multipath TCP

Message queue

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QoS-driven Path Selection for MPTCP: A Scalable SDN-assisted Approach

2022 IEEE Wireless Communications and Networking Conference (WCNC) (2019)

Kai Gao Changqiao Xu Jiuren Qin Shujie Yang Lujie Zhong

Multipath TCP (MPTCP), as a promising transmission protocol, can aggregate the bandwidth of multiple paths in order to improve the transmission rate. However, due to the lack of perceiving the network status from lower layers, MPTCP cannot adaptively adjust the number of subflows, which will lead to network congestion or underutilization of network resources. Besides, plenty of packets will be out-of-order severely due to the diversity among the paths so that transmission performance degrades significantly. To address the problems mentioned above, we propose a novel QoS-driven and SDN-assisted MPTCP path selection scheme (QSMPS) for high-quality transmission service. QSMPS utilizes a scalable SDN-assisted approach to monitor and analyze network status information. Through matching service demand and the provided capacity of current network, the scheme calculates the optimal number of subflows, then distributes them to the least differential delay paths determinately. Simulation results show QSMPS outperforms the existing solutions by evaluating performance in Mininet emulator and Ryu controller.

Multipath TCP

Packet loss

10.1109/wcnc.2019.8885585

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Citations (21)