Closed-form analysis for indirect learning digital pre-distorter for wideband wireless systems

Elaskary, Ramez Moh.; Mehana, Ahmed Hesham; Fahmy, Yasmine; El-Ghoneimy, Mona

doi:10.1016/j.phycom.2021.101485

Cited by 2 publications

(11 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the effect of system impairments on the DPD coefficients and performance metrics are analytically studied in ref. [32].…”

Section: Related Workmentioning

confidence: 99%

“…For more details, please refer to ref. [32]. Equations ( 14) and ( 15) are one of the key contributions in ref.…”

Section: Indirect Learning Architecture (Ila)mentioning

confidence: 99%

“…Equations ( 14) and ( 15) are one of the key contributions in ref. [32]; the DPD coefficients are obtained in a closed form and can be readily used in analytical framework such as BER, MSE, capacity,...etc.…”

Section: Indirect Learning Architecture (Ila)mentioning

confidence: 99%

“…In ref. [32], we have analysed the ILA-DPD and provided closed analytical expressions of the DPD coefficients for general PA characteristics. In this section, we show how one can use the results in ref.…”

Section: Figurementioning

confidence: 99%

“…In this section, we show how one can use the results in ref. [32] to efficiently obtain closed-form expressions of the Performance metrics, not bounds as in the previous section, for the system depicted in Figure 6.…”

Section: Figurementioning

confidence: 99%

See 4 more Smart Citations

Performance of digital predistorter in system with analogue to digital converter

Elaskary¹,

Mehana

Fahmy

et al. 2022

IET Communications

Self Cite

View full text Add to dashboard Cite

The baseband digital pre‐distortion (DPD) signal processing technique is the most cost‐effective linearisation method among other techniques to address the nonlinearity effect of the power amplifier. For communication systems containing DPD and power amplifier, it is difficult to acquire performance metrics closed‐forms for any DPD architecture since there was no mathematical expression for each DPD coefficient. Usually, researchers look for more efficient DPD algorithms for DPD coefficients (compared to the existing ones) in terms of computational complexity, delay, power consumption etc. Consequently, performance is evaluated through intensive simulation. In this paper, it is shown how one can exploit the results of the recent work to mathematically model the indirect learning architecture DPD and efficiently derive important measures in communication systems. Expressions of the normalised mean square error (NMSE) and achievable rate for the OFDM communication system are derived. The DPD is modelled mathematically by exploiting the DPD coefficients closed‐form expressions. The derived expressions of the NMSE and achievable rate are verified through numerical simulations. Furthermore, closed‐form expressions for the NMSE and achievable rate bounds for the OFDM communication system are derived. The performance measures bounds are found assuming a perfect linearisation scenario. The analytical expressions are validated through numerical simulations.

show abstract

“…Moreover, the effect of system impairments on the DPD coefficients and performance metrics are analytically studied in ref. [32].…”

Section: Related Workmentioning

confidence: 99%

“…For more details, please refer to ref. [32]. Equations ( 14) and ( 15) are one of the key contributions in ref.…”

Section: Indirect Learning Architecture (Ila)mentioning

confidence: 99%

Section: Indirect Learning Architecture (Ila)mentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Figurementioning