University Events

Description: TOPIC: Co-Existence in Millimeter-Wave Wireless Body Area Network

LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A

ABSTRACT:
A WBAN consists of few wearable sensors attached to body parts, clothes, implanted underneath the skins or inner body. A WBAN consists of a central hub (i.e., base station) that controls and communicates with sensors. WBANs may deeply overlap on each other in a crowded area such as hospital because of their rapid mobility, small network size, flexible topology, and higher network density. This overlapping may raise severe interference issues. In case of deeply overlapping WBANs, interference avoidance employing power control schemes is plausibly unrealistic, because, nodes and hub from other network may stay much closer than nodes and hub of its own network. In this research work, we formulate the WBAN self-coexistence problem as a linear integer programming optimization problem considering service priorities and user demands and propose a solution named Fair Frame Distribution for Self-coexistence (FDS).

Further, I found that 60 GHz based communication is probably the best fit for WBAN compared to the traditional 2.4 GHz based communication considering its quality of compact network coverage, device miniaturization, efficient frequency reuse, multi-gigabyte transmission rate, and the therapeutic merits for human health. The efficiency of the mmWave based WBAN can be improved by allowing coexistence i.e., mitigating interference among the WBANs. We formulate the coexistence problem as non-cooperative, distributed power control game. The existence of Nash equilibrium is proved and the efficiency of the Nash equilibrium is improved by modifying the utility function and introducing a linear and an exponential pricing factor. Simulation result shows the proposed pricing policy significantly improves the efficiency of the optimal solution with respect to Pareto optimality and social optimality. To introduce different service priority levels such as delay sensitivity this research work utilizes the concept of discount factor employing repeated game. Though both of pricing and repeated game significantly improve the efficiency of the optimal equilibrium. This research work employed Nash bargaining solution to improve fairness of the optimal equilibrium. Extensive simulation result shows that Nash bargaining solution significantly improves the equilibrium efficiency and fairness.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

Committee Members: Dr. Liudong Xing, Department of Electrical & Computer Engineering
and Dr. Haiping Xu, Department of Computer and Information Science

*For further information, please contact Dr. Honggang Wang at 508.999.8469, or via email at hwang1@umassd.edu.