CORTEXA
← Browse
arxiveess.SP2026-07-24Cited by 132

Propagation models for IEEE 802.15.6 standardization of implant communication in body area networks

Raul Chavez-Santiago, Kamran Sayrafian-Pour, Ali Khaleghi, Kenichi Takizawa, Jianqing Wang, Ilangko Balasingham, Huan-Bang Li

A body area network is a radio communication protocol for short-range, low-power, and highly reliable wireless communication for use on the surface, inside, or in the peripheral proximity of the human body. Combined with various biomedical sensors, BANs enable realtime collection and monitoring of physiological signals. Therefore, it is regarded as an important technology for the treatment and prevention of chronic diseases, and health monitoring of the elderly. The IEEE 802 LAN/MAN Standards Committee approved Task Group TG15.6 in December 2007. As a result of more than four years of effort, in February 2012, TG15.6 published the first international standard for BANs, IEEE Std 802.15.6. Throughout the development of this standard, ample collaboration between the standardization group and the research community was required. In particular, understanding the radio propagation mechanisms for BANs demanded the most research effort. Technical challenges were magnified for the case of implant communication because of the impossibility of conducting in-body measurements with human subjects. Therefore, research in this field had to make use of intricate computer simulations. This article outlines some of the research that has been done to obtain accurate propagation models supporting the standardization of implant communication in BANs. Current research to enhance the channel models of IEEE Std 802.15.6 through the use of ultra wideband signals for implantable devices along with physical measurements in animals is also presented.

View free PDFSource page

Related papers

arxiveess.SPphysics.app-ph2026-07-24

Noise-Robust Frequency Estimation via Overlapped Sampling-Intervals Zero-Crossing Fitting

Phichai Youplao, Nithiroth Pornsuwancharoen, Yusaku Fujii

The trade-off between noise averaging and temporal resolution fundamentally limits conventional zero-crossing frequency estimators under dynamic and noisy conditions. This paper presents an overlapped sampling-intervals zero-crossing fitting method (OS-ZFM), which introduces a st…

View free PDFSource page
arxivcs.ITeess.SP2026-07-24

Microwave Linear Analog Computers (MiLACs) for Communications: Opportunities and Challenges

Matteo Nerini, Bruno Clerckx

Future wireless systems will require ever larger antenna arrays and heavier signal processing, making conventional digital multiple-input multiple-output (MIMO) architectures difficult to scale. In this paper, we show that a possible solution is to offload part of the processing…

View free PDFSource page
arxiveess.SP2026-07-24

Continuous Intra-Symbol Phase Noise Tracking for THz OFDM via Polynomial Reconstruction

Sawatsakorn Chaiyasoonthorn, Ura Klongklaew, Phichai Youplao

Terahertz (THz) communication systems for sixth-generation (6G) networks are severely impaired by Wiener phase noise (WPN), whose innovation variance at sub-THz carriers is substantially larger than in millimeter-wave 5G systems. Conventional common-phase-error (CPE) compensation…

View free PDFSource page
arxiveess.SP2026-07-24Cited by 83

Ultra-wideband statistical propagation channel model for implant sensors in the human chest

Ali Khaleghi, Raúl Chávez-Santiago, Ilangko Balasingham

Implant medical wireless sensors for monitoring physiological parameters, automatic drug provision, and so on represent a new promising healthcare technology. Inherent characteristics of ultra-wideband (UWB) radio make this technology highly suitable for the wireless interface of…

View free PDFSource page
arxiveess.SP2026-07-24

Innovation-Domain Decision-Directed Phase Tracking for Wiener Phase Noise in Fast Rayleigh Fading

Ura Klongklaew, Nithiroth Pornsuwancharoen, Phichai Youplao

This letter proposes an innovation-domain decision-directed phase tracking (ID-DDPT) architecture for coherent detection over Rayleigh fading channels with temporally correlated phase evolution and Wiener phase noise. By reformulating phase tracking into the innovation domain, re…

View free PDFSource page
arxivcs.LGeess.SP2026-07-24

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes

Athanasios Papastathopoulos-Katsaros, Steven T. Lee, Lin Yao, Ajay Thomas, Junseok Park, Matthew J. McGinley, et al.

Electroencephalography (EEG) is widely used to diagnose neurological conditions, but its analysis usually relies on either predefined spectral features or deep neural networks. Predefined features carry a strong bias, since they fix in advance what counts as informative, while de…

View free PDFSource page