Protecting Download Traffic from Upload Traffic over Asymmetric Wireless Links

Many varied mobile device networks have been developed with the advancement of communication and network technologies. Cellular data networks are currently the most widely used, and the number of cellular network subscriptions has increased steadily. Most recent wireless access technologies employ asymmetric uplinks and downlinks because mobile subscribers usually download contents from the Internet. Therefore, most cellular network service providers allocate more bandwidth to downlinks than uplinks for mobile subscribers. However, this asymmetry can have unexpected influence on network performance, particularly TCP performance. When the uplink interface is congested, TCP ACK packets are delayed by TCP data packets on the uplink, causing considerable TCP retransmissions on the downlink channel. Thus, downlink bandwidth cannot be fully utilized, which results in significantly degraded downlink throughput. To resolve this problem, this paper proposes a feedback scheme, network traffic chunk regulator (NCR). We analyzed the aforementioned problem through the empirical study, and we designed and implemented NCR based on the analysis. NCR adaptively controls TCP according to the degree of link usage asymmetry. We evaluate NCR performance through simulations and experiments with real devices. We verify that the proposed scheme allows the downlink traffic to not interfere with the aggressive uplink traffic. Thus, NCR increases total link utilization and aggregated throughput significantly, without imposing additional overhead on base or mobile stations.

[1]  Sajal K. Das,et al.  Investigating the interacting two-way tcp connections over 3GPP LTE networks , 2012, MSWiM '12.

[2]  Jeffrey G. Andrews,et al.  Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series) , 2007 .

[3]  Hyun Yoe,et al.  Study of the Ubiquitous Hog Farm System Using Wireless Sensor Networks for Environmental Monitoring and Facilities Control , 2010, Sensors.

[4]  Walid Dabbous,et al.  Handling Two-Way TCP Traffic in Asymmetric Networks , 2004, HSNMC.

[5]  Michele Garetto,et al.  Multi-user downlink with single-user uplink can starve TCP , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[6]  Marco Miozzo,et al.  An open source model for the simulation of LTE handover scenarios and algorithms in ns-3 , 2013, MSWiM.

[7]  Carey L. Williamson,et al.  Improving TCP performance in residential broadband networks: a simple and deployable approach , 2012, CCRV.

[8]  Sang-Hwa Chung,et al.  Enhancing WLAN Performance with Rate Adaptation Considering Hidden Node Effect , 2015, Int. J. Distributed Sens. Networks.

[9]  Emmanuel Lochin,et al.  A cross-layer architecture to improve mobile host rate performance and to solve unfairness problem in WLANs , 2013, Telecommun. Syst..

[10]  Jui-Tang Wang,et al.  Performance Improvement of Delay-Based TCPs in Asymmetric Networks , 2011, IEEE Communications Letters.

[11]  Du Jinsong,et al.  Improving TCP performance over asymmetric networks , 2000, CCRV.

[12]  Hwangnam Kim,et al.  Preserving privacy and efficiency in data communication and aggregation for AMI network , 2016, J. Netw. Comput. Appl..

[13]  Yue Yang,et al.  A WSN approach to unmanned aerial surveillance of traffic anomalies: Some challenges and potential solutions , 2013, East-West Design & Test Symposium (EWDTS 2013).

[14]  Sen Wang,et al.  The design and implementation of a smartphone and Bluetooth-based criminal tracking system , 2013 .

[15]  R Rajesh.,et al.  Implementation of Networked Control Systems using TCP/IP , 2011 .

[16]  Ing-Ray Chen,et al.  Trust-Based IoT Participatory Sensing for Hazard Detection and Response , 2016, ICSOC Workshops.

[17]  Erol Gelenbe,et al.  Cognitive Packet Network for Bilateral Asymmetric Connections , 2014, IEEE Transactions on Industrial Informatics.

[18]  Mehmet Karaköse,et al.  A Cyberphysical System Based Mass-Customization Approach with Integration of Industry 4.0 and Smart City , 2017, Wirel. Commun. Mob. Comput..

[19]  Jürgen Jasperneite,et al.  Using LTE as an access network for internet-based cyber-physical systems , 2015, 2015 IEEE World Conference on Factory Communication Systems (WFCS).

[20]  Wooseong Kim,et al.  Adaptive Resource Scheduling for Dual Connectivity in Heterogeneous IoT Cellular Networks , 2016, Int. J. Distributed Sens. Networks.

[21]  K. Murugan,et al.  Enhancing TCP Fairness in Wireless Networks using Dual Queue Approach with Optimal Queue Selection , 2015, Wirel. Pers. Commun..

[22]  Nobuyoshi Komuro,et al.  Adaptive Pushout: A Buffer Management Scheme to Improve TCP Fairness in Wireless LANs , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[23]  Zhisheng Niu,et al.  Study of the TCP upstream/downstream unfairness issue with per‐flow queuing over infrastructure‐mode WLANs , 2005 .

[24]  Hwangnam Kim,et al.  AFAR: A robust and delay-constrained communication framework for smart grid applications , 2015, Comput. Networks.

[25]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution , 2009 .

[26]  Eun-Chan Park,et al.  A Cross-Layer Approach for Per-Station Fairness in TCP over WLANs , 2008, IEEE Transactions on Mobile Computing.

[27]  Murad Khan,et al.  Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare , 2017, Wirel. Commun. Mob. Comput..

[28]  Vasilis Friderikos,et al.  Using traffic asymmetry to enhance TCP performance , 2013, Comput. Networks.

[29]  Xinghuo Yu,et al.  Survey on Recent Advances in Networked Control Systems , 2016, IEEE Transactions on Industrial Informatics.

[30]  Jae-Hyun Kim,et al.  Advanced handover scheme considering downlink and uplink service traffic in asymmetric channel , 2015, Comput. Networks.

[31]  Seongsoo Hong,et al.  Preventing TCP performance interference on asymmetric links using ACKs-first variable-size queuing , 2011, Comput. Commun..

[32]  Hwangnam Kim,et al.  Channel Quality Estimation for Improving Awareness of Communication Situation in the 2.4 GHz ISM Band , 2018, IEEE Transactions on Mobile Computing.

[33]  Chiapin Wang Achieving per-flow and weighted fairness for uplink and downlink in IEEE 802.11 WLANs , 2012, EURASIP J. Wirel. Commun. Netw..

[34]  Mounir Hamdi,et al.  Dual Queue Management for Improving TCP Performance in Multi-Rate Infrastructure WLANs , 2008, 2008 IEEE International Conference on Communications.

[35]  K. Gunavathi,et al.  A New Approach to Improve TCP Performance over Asymmetric Networks , 2006 .

[36]  Péter Szilágyi,et al.  Two-way TCP performance issues and solutions in asymmetric LTE radio access , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[37]  Jin Ye,et al.  A buffer management algorithm for improving up/down transmission congestion protocol fairness in IEEE 802.11 wireless local area networks , 2014, Int. J. Commun. Syst..

[38]  Shaik Madhar Saheb,et al.  An Integrated Approach to Enhance TCP Fairness in HCCA Scheduler for 802.11e Wireless LANs , 2013 .