Antenna Optimization for WBAN Based on Spherical Wave Functions De-Embedding

Antennas for wireless body area networks (WBAN) need to be modeled with adapted methods because the coupling tissue does not allow a clear separation between antenna and channel. Especially dynamically varying on-body channels due changing poses, e.g. head-worn antennas, modeling is challenging design goals optimal antennas are difficult determine. Therefore, in this paper, of WBAN using spherical wave functions (SWF) utilized de-embedding deriving characteristics that maximize transmission coefficient respective It evaluated how typical factors influencing (different anatomies, postures, positions communication nodes), can statistically SWF. An optimized developed based on derived optimization method, specifically channel links eye-wear applications. The results compared other standard designs validated against measurements.