Title :
Generalized physical layer channel model for relay- based super dense networks
Author :
Zhang Lingwen ; Liu Chang ; Zhang Jiayi ; Wu Faen
Author_Institution :
Inst. of Broadband Wireless Mobile Commun., Beijing Jiaotong Univ., Beijing, China
fDate :
8/1/2015 12:00:00 AM
Abstract :
The κ-μ fading model is an advanced channel model in super dense wireless networks. In this paper, we evaluate the performance of the system over κ-μ fading channel in super dense relay networks with consideration of multiple independent but not necessarily identically distributed (i.n.i.d.) cochannel interference (CCI) under interference-limited environment. More specifically, we derive a useful and accurate cumulative distribution function (CDF) expression of the end-to-end signal-to-interference plus noise (SINR) ratio. Moreover, we derive novel analytical expressions of the outage probability (OP), average bit error probability (ABEP) and average capacity for binary modulation types and arbitrary positive values of κ-and μ of such system. Furthermore, we propose asymptotic analysis for both the OP and ABEP to give physical insights. A simplified analytical form for the ABEP at high-SNR regimes is provided as well. Finally, the accuracy of the derived expressions is well validated by Monte Carlo simulations.
Keywords :
Monte Carlo methods; fading channels; probability; radiofrequency interference; relay networks (telecommunication); wireless channels; κ-μ fading channel; κ-μ fading model; ABEP; CCI; CDF; Monte Carlo simulations; OP; SINR ratio; advanced channel model; asymptotic analysis; average bit error probability; cochannel interference; cumulative distribution function; end-to-end signal-to-interference plus noise; generalized physical layer channel model; outage probability; relay based super dense networks; super dense wireless networks; Channel models; Fading; Interference; Performance analysis; Relays; Signal to noise ratio; super dense; generalized fadingmodel; relay; co-channel interference; decodeand-forward; outage probability; average biterror probability; average capacity;
Journal_Title :
Communications, China
DOI :
10.1109/CC.2015.7224695