access icon free Unified approaches based effective capacity analysis over composite /gamma fading channels

The effective capacity of a communications system using unified models is analysed. To obtain a simple closed-form mathematically tractable expression, two different unified approximate models have been used. The mixture gamma distribution which is a highly accurate approximation approach has been first employed to represent the signal-to-noise ratio of fading channel. In the second approach, the mixture of Gaussian distribution which is another unified representation approach has been utilised. A comparison between the simulated and numerical results using both distributions over composite /gamma fading channels have been provided.

Inspec keywords: approximation theory; channel capacity; Gaussian distribution; mathematical analysis; fading channels

Other keywords: composite α-η-μ-gamma fading channel; approximation approach; Gaussian distribution; communications system; mixture gamma distribution; closed-form mathematically tractable expression; capacity analysis; signal-to-noise ratio; unified approximate model

Subjects: Other topics in statistics; Radio links and equipment; Interpolation and function approximation (numerical analysis)

References

    1. 1)
      • 16. Fraidenraich, G., Yacoub, M.D.: ‘The α–η–μ and α–κ–μ fading distributions’. Proc. IEEE ISSSTA, Manaus, Brazil, August 2006.
    2. 2)
      • 4. Zhang, J., Matthaiou, M., Tan, Z., et al: ‘Effective rate analysis of MISO η–μ fading channels’. Proc. IEEE Int. Conf. Communications. (ICC), Budapest, Hungary, June 2013, pp. 58405844.
    3. 3)
    4. 4)
      • 11. Al-Hmood, H.: ‘Mixture gamma distribution based performance analysis of switch and stay combining scheme over α–κ–μ shadowed fading channels’. Proc. IEEE New Trends in Information Communication Technology Applications-(NTICT), Baghdad, Iraq, March 2017, pp. 292297.
    5. 5)
    6. 6)
      • 14. Wolfram, The Wolfram functions site. Available at http://functions.wolfram.com, accessed March2018.
    7. 7)
      • 12. Abramowitz, M., Stegun, I.A.: ‘Handbook of mathematical functions with formulas, graphs, and mathematical tables’ (Dover, New York, NY, USA, 1970, 9th edn.).
    8. 8)
      • 5. Zhang, J., Dai, L., Wang, Z., et al: ‘Effective rate analysis of MISO systems over α–μ fading channels’. Proc. IEEE Global Communications (Globecom), San Diego, CA, USA, December 2015, pp. 16.
    9. 9)
      • 13. Adamchik, V., Marichev, O.: ‘The algorithm for calculating integrals of hypergeometric type functions and its realization in REDUCE system’. Proc. Int. Conf. Symbolic Algebraic Computation, Tokya, Japan, August 1990, pp. 212224.
    10. 10)
    11. 11)
    12. 12)
      • 10. Al-Hmood, H., Al-Raweshidy, H.S.: ‘Unified modeling of composite κ–μ/gamma, η–μ/gamma, and α–μ/gamma fading channels using a mixture gamma distribution with applications to energy detection’, Antennas Wirel. Propag. Lett., 2016, 17, pp. 104108.
    13. 13)
    14. 14)
    15. 15)
      • 1. Wu, D., Negi, R.: ‘Effective capacity: a wireless link model for support of quality of service’, Trans. Wirel. Commun., 2003, 2, (4), pp. 630643.
    16. 16)
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