The QoE Driven Transmission Optimization Based on Cognitive Air Interface Match for Self-Organized Wireless Body Area Network

This paper studied the optimization of air interface (AI) allocation in self-organized wireless body area network (WBAN), for the quality of experience (QoE) of wireless data transmission between patients’ body base station and the medical surveillance network (MSN). To improve the spectrum efficiency, the partial overlapping channel (POC) is adopted for the cognitive AI, which could adjust its wireless channel according to the environment. In the same time, the heterogeneous QoE of patients is also taken into consideration to optimize the network. A two-layer game model and the corresponding learning algorithm have been proposed for the AIs’ channel choosing and body base stations’ AI choosing in a distributed way, to realize the optimized and stable match between AI and patient’s transmission demand. The theoretic analysis for the equilibrium of the game and the convergence of the proposed algorithm is carried out. Simulation experiment results shows that the proposed two-layer game model and learning algorithm could effectively improve the QoE of WBAN, along with the fairness.

[1]  Sudip Misra,et al.  Energy-Efficient and Distributed Network Management Cost Minimization in Opportunistic Wireless Body Area Networks , 2018, IEEE Transactions on Mobile Computing.

[2]  Jun Cai,et al.  An Analytical Framework for IEEE 802.15.6-Based Wireless Body Area Networks With Instantaneous Delay Constraints and Shadowing Interruptions , 2018, IEEE Transactions on Vehicular Technology.

[3]  Jian Shen,et al.  Cloud-aided lightweight certificateless authentication protocol with anonymity for wireless body area networks , 2018, J. Netw. Comput. Appl..

[4]  Miao Pan,et al.  One Stone Two Birds: A Joint Thing and Relay Selection for Diverse IoT Networks , 2018, IEEE Transactions on Vehicular Technology.

[5]  Walid Saad,et al.  Matching theory for future wireless networks: fundamentals and applications , 2014, IEEE Communications Magazine.

[6]  Chunming Qiao,et al.  Shared Relay Assignment (SRA) for Many-to-One Traffic in Cooperative Networks , 2016, IEEE Transactions on Mobile Computing.

[7]  Cheng Ding,et al.  Relay Assignment in Cooperative Communication Networks: Distributed Approaches Based on Matching Theory , 2016, KSII Trans. Internet Inf. Syst..

[8]  Chen Yang,et al.  Wearable Circular Ring Slot Antenna With EBG Structure for Wireless Body Area Network , 2018, IEEE Antennas and Wireless Propagation Letters.

[9]  Song Guo,et al.  Capacity maximization in cooperative CRNs: Joint relay assignment and channel allocation , 2012, 2012 IEEE International Conference on Communications (ICC).

[10]  Nicola Magnavita,et al.  Medical Surveillance, Continuous Health Promotion and a Participatory Intervention in a Small Company , 2018, International journal of environmental research and public health.

[11]  I. Milchtaich,et al.  Congestion Games with Player-Specific Payoff Functions , 1996 .

[12]  William A. Arbaugh,et al.  Exploiting partially overlapping channels in wireless networks: turning a peril into an advantage , 2005, IMC '05.

[13]  Li Xiao,et al.  Using Partially Overlapping Channels to Improve Throughput in Wireless Mesh Networks , 2012, IEEE Transactions on Mobile Computing.

[14]  Gabriel-Miro Muntean,et al.  Game Theory-Based Network Selection: Solutions and Challenges , 2012, IEEE Communications Surveys & Tutorials.

[15]  Yuhua Xu,et al.  Self-organising multiuser matching in cellular networks: a score-based mutually beneficial approach , 2016, IET Commun..

[16]  Tsungnan Lin,et al.  Decentralized Learning-Based Relay Assignment for Cooperative Communications , 2016, IEEE Transactions on Vehicular Technology.

[17]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[18]  Raj Jain,et al.  A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems , 1998, ArXiv.

[19]  William A. Arbaugh,et al.  Partially overlapped channels not considered harmful , 2006, SIGMETRICS '06/Performance '06.

[20]  Qihui Wu,et al.  Cognitive Internet of Things: A New Paradigm Beyond Connection , 2014, IEEE Internet of Things Journal.

[21]  William A. Arbaugh,et al.  Weighted coloring based channel assignment for WLANs , 2005, MOCO.

[22]  Yiwei Thomas Hou,et al.  An Optimal Algorithm for Relay Node Assignment in Cooperative Ad Hoc Networks , 2011, IEEE/ACM Transactions on Networking.

[23]  Amel Faiza Tandjaoui,et al.  Refining the impact of partially overlapping channels in wireless mesh networks through a cross-layer optimization model , 2016, 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[24]  Xi Fang,et al.  OPRA: Optimal Relay Assignment for Capacity Maximization in Cooperative Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[25]  Cheng Ding,et al.  Distributed satisfaction‐aware relay assignment: a novel matching‐game approach , 2016, Trans. Emerg. Telecommun. Technol..

[26]  Alvin E. Roth,et al.  Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis , 1990 .

[27]  Mehmet Rasit Yuce,et al.  Implementation of wireless body area networks for healthcare systems , 2010 .

[28]  Jae-Ho Lee,et al.  Emergency-Prioritized Asymmetric Protocol for Improving QoS of Energy-Constraint Wearable Device in Wireless Body Area Networks , 2018 .