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This article investigates the latest research outcomes on the wide power dynamic range (PDR) CMOS RF-DC rectifier for on-chip radio frequency energy harvesting (RFEH) system as a viable approach to extend the high power conversion efficiency (PCE) operating range which is limited by the varying nature of the available far-field RF power. The significance of enhancing the rectifier's PDR is that it offers a more reliable operation of RFEH in real-life applications. Therefore, this review seeks to navigate the research and development focus of the RFEH system towards extending the PDR of the CMOS RF-DC rectifier by providing analysis of the effect of state-of-the-art PDR extension techniques and their design tradeoffs. The review encapsulates the transmission of the RF power, a brief overview of the RFEH front-end circuit, and a comprehensive review of the CMOS rectifier design focusing on PDR. At the end of this article, we discuss the future design aspects to address the limitation of the RFEH system. Recent research shows that extending the rectifier's PDR will enhance the overall performance of the RFEH system.INDEX TERMS CMOS rectifier, power conversion efficiency (PCE), power dynamic range (PDR), RF energy harvesting, RF power transmission.

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Long Term Evolution (LTE) is the prominent technology in Fourth Generation (4G) communication standards, which provides higher throughput and better Quality of Service (QoS) to all users. However, users in the cell-edge area are receiving comparatively low QoS due to the distance from eNodeB (eNB) and bad channel conditions. The Conventional Modified Largest Weighted Delay First (MLWDF) algorithm is unable to resolve this issue, as it does not consider the location of the user. This paper proposes an extended MLWDF (EMLWDF) downlink scheduling algorithm to provide better services to the cell-edge user as well as to the cell-center user. The proposed algorithm divides the eNB cell area into inner and outer regions. It includes the distance of the user from attached eNB, received Signal to Interference plus Noise Ratio (SINR) and error probability into the original algorithm. The simulated results are compared with other well-known algorithms and the comparison shows that the proposed algorithm enhances overall 56.23% of cell-edge user throughput and significantly improves the average user throughput, fairness index, and spectral efficiency.

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