TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Capacity analysis under generalized composite fading conditions

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings - 2018 International Conference on Advanced Communication Technologies and Networking, CommNet 2018
KustantajaIEEE
Sivut1-10
Sivumäärä10
ISBN (elektroninen)9781538646090
DOI - pysyväislinkit
TilaJulkaistu - 16 toukokuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Advanced Communication Technologies and Networking -
Kesto: 1 tammikuuta 1900 → …

Conference

ConferenceInternational Conference on Advanced Communication Technologies and Networking
Ajanjakso1/01/00 → …

Tiivistelmä

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. The present contribution presents the major theoretical and practical characteristics of the η - μ / inverse gamma composite fading model, followed by a thorough ergodic capacity analysis. To this end, novel analytic expressions are derived, which are subsequently used in the evaluation 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 highly demanding wireless technologies, such as wearable, cellular and inter-vehicular communications as well in wireless power transfer based applications in the context of the Internet of Things.