Novel composite fading models were recently proposed based on inverse gamma distributed shadowing conditions. These models were extensively shown to provide remarkable modeling of the simultaneous occurrence of multipath fading and shadowing phenomena in emerging wireless scenarios such as cellular, off-body and vehicle-to-vehicle communications. Furthermore, the algebraic representation of these models is rather tractable, which renders them convenient to handle both analytically and numerically. Based on this, the present contribution analyzes the ergodic capacity over the recently proposed κ-μ/inverse gamma composite fading channels, which were shown to characterize excellently multipath fading and shadowing in line-of-sight communication scenarios, including realistic vehicular communications. Novel analytic expressions are derived which are subsequently used in the analysis of the corresponding system performance. In this context, the offered results are compared with respective results from cases assuming conventional fading conditions, which leads to the development of numerous insights on the effect of the multipath fading and shadowing severity on the achieved capacity levels. It is expected that these results will be useful in the design of timely and demanding wireless technologies such as wearable, cellular and inter-vehicular communications.
|Title of host publication||2018 IEEE 87th Vehicular Technology Conference (VTC Spring)|
|Number of pages||5|
|Publication status||Published - 26 Jul 2018|
|Event||2018 IEEE 87th Vehicular Technology Conference - Porto, Portugal|
Duration: 3 Jun 2018 → 6 Jun 2018
|Conference||2018 IEEE 87th Vehicular Technology Conference|
|Period||3/06/18 → 6/06/18|
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- Fading Channels
- Analytical Models
- Numerical Models
- Wireless Communications
- Mathematica Model
- Shadow Mapping
Sofotasios, P., Yoo, S. K., Muhaidat, S., Cotton, S., Matthaiou, M., Valkama, M., & Karagiannidis, G. (2018). Ergodic Capacity Analysis of Wireless Transmission over Generalized Multipath/Shadowing Channels. In 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) IEEE. https://doi.org/10.1109/vtcspring.2018.8417509