Proportional adaptive algorithm to improve reception techniques and mitigate the multipath fading effect in sub‐6 GHz 5G applications

Abstract

This letter presents a proportional adaptive technique to mitigate the multipath fading effect in advanced wireless communication systems. The designed system consists of a realized ultra-wideband (UWB) dual antenna array and two universal software radio peripheral (USRP) platforms synchronized by a MIMO cable, with one digital RF phase shifter implemented in the reception chain of one of the two receiving antennas. Without requiring any statistical knowledge channel, the proposed approach adjusts the phase shifter in order to maximize the combined received power proportionally to the amplitude of its gradient. The used antennas operate in different frequencies in the fifth-generation (Sub-6 GHz 5G) wireless communication applications. The proposed algorithm has been implemented on a USRP that has been used to carry out experimental measurements on fixed and mobile receiving antennas, and it is compared with other approaches. The measurements reveal, that using the amplitude of the gradient of the received power rather than its sign, as it is proposed in the initial on-off algorithm presented in a previous published work, allows achieving better performance in combatting fading. The phase adjustment with the proposed algorithm is more efficient than in the other approaches allowing a better reception of the received signal with a higher received power level. The measured performances indicate that gain improvement of 8 to 10 dB can be achieved by using the proportional adaptive technique.

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“…This method reduced the lack of transparency in the entire parameter estimation process and optimized the performance evaluation of the UWB physical layer scheme. Mosbah et al [25] proposed a proportional adaptive technology to alleviate the multipath fading effect in advanced wireless communication systems. Hua et al [26] proposed a multipath map based on the principle of spatial domain modeling.…”