Effective capacity of wireless networks over double shadowed Rician fading channels

Recent advances in fifth-generation wireless networks demand quality-of-service (QoS) guarantees to support real-time services such as high-speed mobile networks, autonomous vehicles, and internet-of-things under delay constraints. Since the conventional ergodic capacity proposed by Shannon cannot account for QoS guarantees requirements, a new potential notion was presented to assess the performance of the wireless network in recent studies, which is called the effective capacity (EC). This paper conducts the performance analysis for EC over double shadowed Rician fading channels. To achieve this, the expression for the EC is derived in the closed-form. A truncation error of the expression for the corresponding EC is also derived, which is considerably tight. Furthermore, the consequences of channel and system parameters on the QoS performance of the wireless network are revealed by conducting an asymptotic EC analysis under the sovereignty of high signal-to-noise ratio (SNR). It is found that asymptotic bound for EC is notably tight and asymptotic EC matches with the analytical EC, when SNR is large (e.g. $$\bar{\gamma } \ge 20$$ γ ¯ ≥ 20  dB). Additionally, the expressions for the EC of shadowed Rician and Nakagami- q fading channels are deduced as special cases of double shadowed Rician fading. The results for these special cases show similar behaviour of EC as in case of double shadowed Rician fading channels.

[1]  L. Dong,et al.  Performance analysis for effective rate of correlated MISO fading channels , 2012 .

[2]  Jianhua Lu,et al.  On the analysis of effective capacity over generalized fading channels , 2014, 2014 IEEE International Conference on Communications (ICC).

[3]  Mai A. Abdel-Malek,et al.  Effective capacity optimization for cognitive radio networks under primary QoS provisioning , 2020, Wirel. Networks.

[4]  Hongjian Sun,et al.  Unified Framework for the Effective Rate Analysis of Wireless Communication Systems Over MISO Fading Channels , 2017, IEEE Transactions on Communications.

[5]  A. Goldsmith,et al.  Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques , 1999, IEEE Transactions on Vehicular Technology.

[6]  F.S. Almehmadi,et al.  On the effective capacity of Fisher–Snedecor fading channels , 2018, Electronics Letters.

[7]  Sandeep Kumar,et al.  A New Approximate Closed-Form Distribution and Performance Analysis of a Composite Weibull/Log-Normal Fading Channel , 2017, Wirel. Pers. Commun..

[8]  P. Takis Mathiopoulos,et al.  Capacity of Correlated Generalized Gamma Fading With Dual-Branch Selection Diversity , 2009, IEEE Transactions on Vehicular Technology.

[9]  Dapeng Wu,et al.  Effective capacity channel model for frequency-selective fading channels , 2005, Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QSHINE'05).

[10]  Michel Daoud Yacoub,et al.  Double Shadowing the Rician Fading Model , 2019, IEEE Wireless Communications Letters.

[11]  Jing Jiang,et al.  Effective Rate Analysis in Weibull Fading Channels , 2016, IEEE Wireless Communications Letters.

[12]  Linglong Dai,et al.  Effective capacity of communication systems over κ-μ shadowed fading channels , 2015, ArXiv.

[13]  George P. Efthymoglou,et al.  Spectral efficiency of adaptive transmission and selection diversity on generalised fading channels , 2010, IET Commun..

[14]  Dapeng Wu,et al.  Effective capacity: a wireless link model for support of quality of service , 2003, IEEE Trans. Wirel. Commun..

[15]  Daniel Benevides da Costa,et al.  Channel Capacity for Single Branch Receivers Operating in Generalized Fading Scenarios , 2007, 2007 4th International Symposium on Wireless Communication Systems.

[16]  Pravin Varaiya,et al.  Capacity of fading channels with channel side information , 1997, IEEE Trans. Inf. Theory.

[17]  You Zheng Wang,et al.  MGF-Based Effective Capacity for Generalized Fading Channels , 2014, CIT 2014.

[18]  George K. Karagiannidis,et al.  Effective Rate of MISO Systems Over Fisher–Snedecor $\mathcal{F}$ Fading Channels , 2018, IEEE Communications Letters.

[19]  Hamed S. Al-Raweshidy,et al.  Unified approaches based effective capacity analysis over composite α-η-μ/gamma fading channels , 2018, ArXiv.

[20]  Kerstin Vogler,et al.  Table Of Integrals Series And Products , 2016 .

[21]  Keith Q. T. Zhang,et al.  A simple capacity formula for correlated diversity Rician fading channels , 2002, IEEE Communications Letters.

[22]  Michail Matthaiou,et al.  A New Lower Bound on the Ergodic Capacity of Distributed MIMO Systems , 2011, IEEE Signal Processing Letters.

[23]  Jin Jin,et al.  Effective Rate of MISO Systems Over $\kappa $ - $\mu $ Shadowed Fading Channels , 2017, IEEE Access.

[24]  Daniel Benevides da Costa,et al.  Average channel capacity for generalized fading scenarios , 2007, IEEE Communications Letters.

[25]  Mohamed-Slim Alouini,et al.  Adaptive Modulation over Nakagami Fading Channels , 2000, Wirel. Pers. Commun..

[26]  Mohammad Lari.  Effective capacity of receive antenna selection MIMO–OSTBC systems in co-channel interference , 2017, Wirel. Networks.