Technologies and Challenges for Cognitive Radio Enabled Medical Wireless Body Area Networks

We present a review of spectrum sharing wireless body area networks. We investigate how cognitive radio (CR) and dynamic spectrum access are used for body area networks to save spectral resources. Specifically, we study the features associated with the usage of the three major CR paradigms of underlay, interweave, and overlay in these networks. We further put forward some use cases in medical applications. In this regard, we provide an overview of the existing schemes on interference mitigation for coexistence of different devices involving wireless body area networks. Further, we proceed with existing energy efficient medium access control protocols for CR-enabled body area networks. In addition, we outline the challenges and obstacles of implementing spectrum sharing concepts for body sensor networks.

[1]  Iti Saha Misra,et al.  A Fast Hardware Based Hidden Markov Model Predictor for Cognitive Radio , 2016, 2016 IEEE 6th International Conference on Advanced Computing (IACC).

[2]  Sundeep Prabhakar Chepuri,et al.  Performance evaluation of an IEEE 802.15.4 cognitive radio link in the 2360-2400 MHz band , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[3]  Mohammad Abdur Razzaque,et al.  Security and Privacy in Wireless Body Area Networks for Health Care Applications , 2013, Wireless Networks and Security.

[4]  Fadhel M. Ghannouchi,et al.  Software Defined Radio Subsampling Receiver for Wireless Monitoring and Sensing Medical Applications , 2015, 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB).

[5]  Taeyoung Yang,et al.  Intra and inter-body cognitive communication system , 2014, 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium).

[6]  Chunsheng Xin,et al.  Detection of PUE Attacks in Cognitive Radio Networks Based on Signal Activity Pattern , 2014, IEEE Transactions on Mobile Computing.

[7]  Won Mee Jang,et al.  Blind Cyclostationary Spectrum Sensing in Cognitive Radios , 2014, IEEE Communications Letters.

[8]  Ramjee Prasad,et al.  Efficient data processing in ultra low power wireless networks: Ideas from compressed sensing , 2009, 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies.

[9]  Luigi Paura,et al.  Optimal Strategy Design for Enabling the Coexistence of Heterogeneous Networks in TV White Space , 2016, IEEE Transactions on Vehicular Technology.

[10]  E Jovanov,et al.  Patient monitoring using personal area networks of wireless intelligent sensors. , 2001, Biomedical sciences instrumentation.

[11]  Dusit Niyato,et al.  A cognitive radio system for e-health applications in a hospital environment , 2010, IEEE Wireless Communications.

[12]  Kok-Lim Alvin Yau,et al.  On Cognitive Radio-based Wireless Body Area Networks for medical applications , 2013, 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE).

[13]  Ilangko Balasingham,et al.  Dual-band cognitive radio for wearable sensors in hospitals , 2014, 2014 8th International Symposium on Medical Information and Communication Technology (ISMICT).

[14]  Xuemin Shen,et al.  Dynamic Channel Access to Improve Energy Efficiency in Cognitive Radio Sensor Networks , 2016, IEEE Transactions on Wireless Communications.

[15]  Olivier Berder,et al.  Asynchronous MAC protocol for spectrum agility in Wireless Body Area Sensor Networks , 2014, 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

[16]  W. Gardner The spectral correlation theory of cyclostationary time-series , 1986 .

[17]  Iti Saha Misra,et al.  A Framework for Implementation of Wireless Body Area Network over Software Defined Radios , 2015, 2015 IEEE Region 10 Symposium.

[18]  Gianmarco Baldini,et al.  UWB Cognitive Radios , 2011 .

[19]  Kamran Sayrafian-Pour,et al.  Using RTS/CTS to enhance the performance of IEEE 802.15.6 CSMA/CA , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[20]  Jianfeng Wang,et al.  Emerging cognitive radio applications: A survey , 2011, IEEE Communications Magazine.

[21]  Ilangko Balasingham,et al.  A Dual-Band MAC Protocol for Indoor Cognitive Radio Networks: An e-Health Case Study , 2013, BODYNETS.

[22]  A. Rachedi,et al.  Channel bonding in cognitive radio wireless sensor networks , 2012, 2012 International Conference on Selected Topics in Mobile and Wireless Networking.

[23]  Mubashir Husain Rehmani,et al.  A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks , 2016, IEEE Communications Surveys & Tutorials.

[24]  H. T. Mouftah,et al.  A MAC protocol for cognitive wireless sensor body area networking , 2010, Wirel. Commun. Mob. Comput..

[25]  Liu Wei,et al.  Performance Enhancement of Wireless Body Area Network System Combined with Cognitive Radio , 2010, 2010 International Conference on Communications and Mobile Computing.

[26]  Chen Chen,et al.  Adaptive Cognitive Enhanced Platform for WBAN , 2013, 2013 IEEE/CIC International Conference on Communications in China (ICCC).

[27]  Jing Liu,et al.  HCVP: A Hybrid Cognitive Validation Platform for WBAN , 2012, 2012 International Conference on Wireless Communications and Signal Processing (WCSP).

[28]  Mohsin Nazir,et al.  Cooperative cognitive WBAN: From game theory to population dynamism , 2011, 2011 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).

[29]  Dong Wang,et al.  IEEE 802.15.4J: extend IEEE 802.15.4 radio into the MBAN spectrum [Industry Perspectives] , 2012 .

[30]  Al-Sakib Khan Pathan,et al.  Wireless Networks and Security, Issues, Challenges and Research Trends , 2013, Wireless Networks and Security.

[31]  Koduvayur P. Subbalakshmi,et al.  Cognitive Radio Mobile Ad Hoc Networks in Healthcare , 2011 .

[32]  Kamran Sayrafian-Pour,et al.  A simulation platform to study inter-BAN interference , 2013, 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom).

[33]  Kamran Sayrafian-Pour,et al.  Regret minimization based adaptation of the energy detection threshold in body area networks , 2017, 2017 Global Internet of Things Summit (GIoTS).

[34]  Ali Hassan Sodhro,et al.  Energy-efficient adaptive transmission power control for wireless body area networks , 2016, IET Commun..

[35]  Lorenzo Mucchi,et al.  Aggregate interference in ISM band: WBANs need cognitivity? , 2014, 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

[36]  Ilangko Balasingham,et al.  Applications of software-defined radio (SDR) technology in hospital environments , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[37]  I. Int Roduction Energy Efficient Sensing in Wireless Sensor Networks in Body Area Networks , 2011 .

[38]  Abolfazl Razi,et al.  Maximizing Energy Efficiency of Cognitive Wireless Sensor Networks With Constrained Age of Information , 2017, IEEE Transactions on Cognitive Communications and Networking.

[39]  Young-Joo Suh,et al.  Latency Analysis in GNU Radio/USRP-Based Software Radio Platforms , 2013, MILCOM 2013 - 2013 IEEE Military Communications Conference.

[40]  Elyes Ben Hamida,et al.  Surveying Wearable Human Assistive Technology for Life and Safety Critical Applications: Standards, Challenges and Opportunities , 2014, Sensors.

[41]  Saadi Boudjit,et al.  Distributed interference management in medical wireless sensor networks , 2016, 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[42]  H. T. Mouftah,et al.  A MAC protocol for cognitive wireless body area sensor networking , 2010, IWCMC.

[43]  Abbas Jamalipour,et al.  Wireless Body Area Networks: A Survey , 2014, IEEE Communications Surveys & Tutorials.

[44]  Rong Zheng,et al.  WiCop: Engineering WiFi Temporal White-Spaces for Safe Operations of Wireless Personal Area Networks in Medical Applications , 2011, IEEE Transactions on Mobile Computing.

[45]  Mohamed F. Younis,et al.  IoT-enabled Channel Selection approach for WBANs , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[46]  Ilangko Balasingham,et al.  Cognitive radio for medical body area networks using ultra wideband , 2012, IEEE Wireless Communications.

[47]  Bahareh Bozorgchami,et al.  Spectrally efficient telemedicine and in-hospital patient data transfer , 2017, 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[48]  Jean-Michel Redoute,et al.  Hardware implementation of an IR-UWB coordinator node for WBAN applications , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[49]  M. Shamim Kaiser,et al.  Performance analysis of cognitive cooperative communications for WBAN , 2015, 2015 IEEE International Conference on Telecommunications and Photonics (ICTP).

[50]  Fernando J. Velez,et al.  Electromagnetic Energy Harvesting for Wireless Body Area Networks with Cognitive Radio Capabilities , 2012 .

[51]  Athanasios V. Vasilakos,et al.  Body Area Networks: A Survey , 2010, Mob. Networks Appl..

[52]  Jun Cai,et al.  Low-Complexity Priority-Aware Interference-Avoidance Scheduling for Multi-user Coexisting Wireless Networks , 2018, IEEE Transactions on Wireless Communications.

[53]  Sung-Weon Kang,et al.  Review of capacitive coupling human body communications based on digital transmission , 2016, ICT Express.

[54]  Jesús Favela,et al.  Integrating context-aware public displays into a mobile hospital information system , 2004, IEEE Transactions on Information Technology in Biomedicine.

[55]  Ilangko Balasingham,et al.  Cognitive radio for medical wireless body area networks , 2011, 2011 IEEE 16th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[56]  Luc Martens,et al.  Specific absorption rate and path loss in specific body location in heterogeneous human model , 2013 .

[57]  Nadeem Javaid,et al.  A Comprehensive Survey of MAC Protocols for Wireless Body Area Networks , 2012, 2012 Seventh International Conference on Broadband, Wireless Computing, Communication and Applications.

[58]  Dongmei Zhao,et al.  Providing telemedicine services in an infrastructure-based cognitive radio network , 2010, IEEE Wireless Communications.

[59]  Kyung Sup Kwak,et al.  Evaluation of Implant Communication with Polarisation and Unslotted CSMA/CA Protocol in Wireless Body Area Networks , 2010, EURASIP J. Wirel. Commun. Netw..