Generalized channel fading distributions such as κ–μ and η–μ are well suited for modelling various fading channels as they fit well to the experimental data. This paper is concerned with the performance analysis of orthogonal space–time block-codes system using M-ary Phase shift keying/quadrature amplitude modulation with antenna selection over generalized η–μ fading channel i.e., for non-line-of-sight applications. We derive the closed form expression of the average bit error rate by employing “moment generating function” based approach for different modulation schemes. Simulation results are finally presented to demonstrate the correctness of theoretical analysis by assuming different values for η and μ, where each value corresponds to different channels. The impact of actual number of antennas, i.e., number of antennas before antenna selection, were also shown.
Wireless Personal Communications – Springer Journals
Published: Apr 25, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera