Channel Quality Estimation for Improving Awareness of Communication Situation in the 2.4 GHz ISM Band

Supported by the technological advancements in wireless communication systems, current mobile devices are capable of utilizing diverse radio interfaces. Furthermore, there are various networks around the mobile devices in heterogeneous networks. If the mobile devices are aware of the status of channels used by different communications, the devices can utilize a wide range of network options intelligently in heterogeneous networks. However, it is not easy for mobile devices to estimate the quality of channels used by different networks because of differences among communication standards. To overcome this limitation, we view the channel map used for Bluetooth communications from a new angle. In this paper, we propose a new scheme which utilizes the channel map to estimate channels’ qualities of other standards, not of Bluetooth. Using the proposed scheme named BluS, mobile devices can estimate channels’ qualities of standards using the 2.4 GHz ISM band. Therefore, the devices with BluS are able to make decisions more intelligently and properly in heterogeneous networks. We implemented BluS on off-the-shelf smartphones and conducted extensive experiments and analysis to verify the performance of BluS.

[1]  Shichang Xu,et al.  Mobilyzer: An Open Platform for Controllable Mobile Network Measurements , 2015, MobiSys.

[2]  Yu-Kwong Kwok,et al.  Design and evaluation of practical coexistence management schemes for Bluetooth and IEEE 802.11b systems , 2007, Comput. Networks.

[3]  Yong-Hwan Lee,et al.  Adaptive frequency hopping for bluetooth robust to WLAN interference , 2009, IEEE Communications Letters.

[4]  Ming Wang,et al.  Streaming High-Quality Mobile Video with Multipath TCP in Heterogeneous Wireless Networks , 2016, IEEE Transactions on Mobile Computing.

[5]  Roberto Garello,et al.  Measurement-Based Analysis of Spectrum Sensing in Adaptive WSNs under Wi-Fi and Bluetooth Interference , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[6]  Srinivasan Seshan,et al.  Understanding and mitigating the impact of RF interference on 802.11 networks , 2007, SIGCOMM 2007.

[7]  Gopinath Rao Sinniah,et al.  Performance evaluation of IEEE802.15.4 6LoWPAN gateway , 2011, The 17th Asia Pacific Conference on Communications.

[8]  Chung-Ju Chang,et al.  Enhanced Adaptive Frequency Hopping for Wireless Personal Area Networks in a Coexistence Environment , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[9]  Victor C. M. Leung,et al.  Improved Channel Classification and Scheduling for Non-collaborative Bluetooth/ WLAN Coexistence , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[10]  Wook Hyun Kwon,et al.  Packet Error Rate Analysis of ZigBee Under WLAN and Bluetooth Interferences , 2007, IEEE Transactions on Wireless Communications.

[11]  Woonghee Lee,et al.  Link-aware AP selection for improving Wi-Fi quality , 2014, 2014 IEEE 22nd International Symposium of Quality of Service (IWQoS).

[12]  Iqbal Gondal,et al.  Combined SINR Based Vertical Handoff Algorithm for Next Generation Heterogeneous Wireless Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[13]  Stefano Giordano,et al.  Experimental assessment of the coexistence of Wi-Fi, ZigBee, and Bluetooth devices , 2011, 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[14]  Qixiang Pang,et al.  Channel Clustering and Probabilistic Channel Visiting Techniques for WLAN Interference Mitigation in Bluetooth Devices , 2007, IEEE Transactions on Electromagnetic Compatibility.

[15]  Yong-Hwan Lee,et al.  Low Complexity FFT Based Spectrum Sensing in Bluetooth System , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[16]  Lei Shi,et al.  A new probabilistic approach for adaptive frequency hopping , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[17]  Yong-Hwan Lee,et al.  Mitigation of Co-Channel Interference in Bluetooth Piconets , 2012, IEEE Transactions on Wireless Communications.

[18]  Eric Mayer.  Practical Packet Analysis Using Wireshark To Solve Real World Network Problems , 2016 .

[19]  Woonghee Lee,et al.  Channel quality estimation using Bluetooth for other standards in the 2.4 GHz ISM band , 2016, 2016 IEEE International Conference on Communications (ICC).

[20]  Kunal Rele,et al.  Development and Quantitative Analysis of an Adaptive Scheme for Bluetooth and Wi-Fi Co-Existence , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

[21]  Chau Yuen,et al.  Goodput-Aware Load Distribution for Real-Time Traffic over Multipath Networks , 2015, IEEE Transactions on Parallel and Distributed Systems.

[22]  Ilya Moiseenko,et al.  NDNBlue : NDN over Bluetooth , 2013 .

[23]  Guilin Chen,et al.  Piconet construction and restructuring mechanisms for interference avoiding in bluetooth PANs , 2016, J. Netw. Comput. Appl..

[24]  Ming Wang,et al.  Energy-Minimized Multipath Video Transport to Mobile Devices in Heterogeneous Wireless Networks , 2016, IEEE Journal on Selected Areas in Communications.

[25]  Yan Grunenberger,et al.  Experimenting With Commodity 802.11 Hardware: Overview and Future Directions , 2015, IEEE Communications Surveys & Tutorials.

[26]  Muhammad Alam,et al.  Survey on low power real-time wireless MAC protocols , 2016, J. Netw. Comput. Appl..

[27]  Chau Yuen,et al.  Delay-Constrained High Definition Video Transmission in Heterogeneous Wireless Networks with Multi-Homed Terminals , 2016, IEEE Transactions on Mobile Computing.

[28]  Kevin C. Almeroth,et al.  Understanding congestion in IEEE 802.11b wireless networks , 2005, IMC '05.