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Ali A. Nasir

Researcher at King Fahd University of Petroleum and Minerals

Publications -  114
Citations -  6004

Ali A. Nasir is an academic researcher from King Fahd University of Petroleum and Minerals. The author has contributed to research in topics: Relay & Throughput. The author has an hindex of 25, co-authored 102 publications receiving 5224 citations. Previous affiliations of Ali A. Nasir include University of the Sciences & Australian National University.

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Journal ArticleDOI

Relaying Protocols for Wireless Energy Harvesting and Information Processing

TL;DR: The numerical analysis provides practical insights into the effect of various system parameters, such as energy harvesting time, power splitting ratio, source transmission rate, source to relay distance, noise power, and energy harvesting efficiency, on the performance of wireless energy harvesting and information processing using AF relay nodes.
Journal ArticleDOI

Relaying Protocols for Wireless Energy Harvesting and Information Processing

TL;DR: In this article, two relaying protocols, namely, time switching-based relaying (TSR) and power splitting-based relay (PSR), are proposed to enable energy harvesting and information processing at the relay.
Journal ArticleDOI

Wireless-Powered Relays in Cooperative Communications: Time-Switching Relaying Protocols and Throughput Analysis

TL;DR: It is shown that the proposed protocols outperform the existing fixed time duration EH protocols in the literature, since they intelligently track the level of the harvested energy to switch between EH and IT in an online fashion, allowing efficient use of resources.
Proceedings ArticleDOI

Throughput and ergodic capacity of wireless energy harvesting based DF relaying network

TL;DR: Through numerical analysis, the throughput performance of the overall system for different system parameters, such as energy harvesting time, power splitting ratio, and signal-to-noise-ratio (SNR), exceeds that of the TSR scheme for a wide range of SNRs.
Journal ArticleDOI

Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems

TL;DR: Simulation results demonstrate that by employing the proposed channel and time-varying phase noise estimators the bit-error rate performance of a MIMO system can be significantly improved.