In this work, the performance of communication system inside the densely packed small cells or femtocells with maximum ratio combining (MRC) diversity is studied. The line of sight (LOS) a...

Performance analysis of Beaulieu‐Xie fading channel with MRC diversity reception

The present paper analyzes an L-branch maximal ratio combining (MRC) receiver over the Beaulieu-Xie (BX) fading channel. The expression of the probability density function (PDF) of the signal-to-noise ratio (SNR) of an MRC receiver in BX fading is derived by using the characteristic function approach. The obtained PDF is then utilized to calculate the various link-level and system-level parameters. This paper focuses on deriving closed-form expressions for different adaptive transmission techniques based on instantaneous channel state information in BX fading. The accuracy of our derived expressions is verified by comparing them with Monte Carlo simulations.

Capacity analysis of maximal ratio combining over Beaulieu-Xie fading

In this paper, closed-form expressions for average symbol error probability (ASEP) of M-ary differential phase-shift keying (MDPSK), non-coherent M-ary frequency-shift keying (MFSK), and coherent M-ary phase-shift keying (MPSK) over the Beaulieu-Xie fading channel are derived. The Beaulieu-Xie fading channel was proposed by Beaulieu and Jiandong to analyze the conditions of wireless environments in which the received power consists of multiple-specular components with some diffuse power e.g. high speed trains and femtocells. In this paper, no approximation has been used to derive the ASEP. The results demonstrated in this paper are supposed to give important and useful information to evaluate the performance of fading channels. The verification of analytical results is done by comparing them with Monte Carlo simulations.

Analysis of Average Symbol Error Probability of MDPSK, MFSK and MPSK in the Beaulieu-Xie Fading

In this paper, an accurate framework is proposed for deriving the closed-form expression for the average symbol error probability (ASEP) of generalized M-ary quadrature amplitude modulation (M-QAM) over the Beaulieu-Xie fading channel. This fading channel is extremely useful for characterizing heterogeneous networks, femtocells, and also for modeling of fading channel for high speed trains due to its ability to combine the properties of both Nakagami-m and Rician fading models. Due to efficient bandwidth and high data rate, the M-QAM modulation scheme is utilized for the 4G LTE, 5G network, etc. The closed-form expression for the ASEP of generalized M-QAM in terms of Gauss hypergeometric function is derived in this work. The advantage of this expression is that along with M-QAM, we can evaluate ASEP of many other modulation schemes such as binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), etc. The numerical results are presented for the exact closed-form solution, which are a close match with Monte-Carlo simulations. To achieve ASEP of 10−3, 64-QAM requires 4.79 dB more average SNR as compared to 16-QAM for the case of m = 2, K = 1.

Error performance of generalized M-ary QAM over the Beaulieu-Xie fading

A smart receiver is used in advanced wireless communication to trim down the fading and shadowing effects. Performance of such receivers depends on the accuracy of the channels estimation. This paper derived general expression of average bit error rate (BER) and outage probability for L branch Maximum Ratio Combining ( L -MRC) receiver over Beaulieu-Xie (BX) fading channels with Imperfect Channel Estimation (ICE). The BX fading model characterizes dominant multiple specular components with some diffuse power. The probability density function (PDF) of output signal to noise ratio is evaluated for L -MRC receiver with channel estimation error over the BX model. The expression of average BER is formulated for binary coherent and non-coherent modulation and the outage probability of the system. The impacts of severity of fading and error estimation on the system performance are analyzed by using the numerical evaluation of the finding expressions.

Performance analysis of L-MRC receiver with estimation error over Beaulieu-Xie fading channels

This paper presents an exact analysis of effective capacity over the Beaulieu-Xie fading by introducing the concept of delay constraints. This fading model is composed of multiple no. of line-of-sight (LOS) components with some diffuse power. To analyze the effective capacity of this fading channel, the closed-form expressions are derived. Also, the asymptotically analysis by considering the cases of high and low signal-to-noise ratio (SNR) is also investigated to explore the effects of fading parameters on the effective capacity of this wireless fading channel. The obtained analytical results are validated by reducing the expression as a special case of existing fading channels. The numerical results are presented to show the effect of several parameters on the effective capacity.

Analysis of effective capacity over Beaulieu-Xie fading model

Performance of M-ary phase shift keying (MPSK) is analysed in two-wave with diffuse power (TWDP) fading channel. The TWDP channel is characterised by two specular waves along with the diffuse power and has both Rayleigh and Rician fading distributions as special cases. Closed-form expression for the bit error rate (BER) of MPSK (M > 4) in TWDP fading is derived using Chiani approximation for the complimentary error function. Numerical results show excellent agreement with the simulation results.

Veenu Kansal

Papers

Analysis of effective capacity over Beaulieu-Xie fading model

Performance of M-ary PSK over TWDP fading channels

Capacity analysis of maximal ratio combining over Beaulieu-Xie fading

Analysis of Average Symbol Error Probability of MDPSK, MFSK and MPSK in the Beaulieu-Xie Fading

Error performance of generalized M-ary QAM over the Beaulieu-Xie fading