5G Cellular: Key Enabling Technologies and Research Challenges

The evolving fifth generation (5G) cellular wireless networks are envisioned to provide higher data rates, enhanced end-user quality-of-experience (QoE), reduced end-to-end latency, and lower energy consumption. This article presents several emerging technologies, which will enable and define the 5G mobile communications standards. The major research problems, which these new technologies breed, as well as the measurement and test challenges for 5G systems are also highlighted.Comment: IEEE Instrumentation and Measurement Magazine, to appear in the June 2015 issue. arXiv admin note: text overlap with arXiv:1406.6470 by other author

Comparative Analysis of Procedures and Solutions to Improve Energy Efficiency of Massive MIMO

The blustery growth of high data rate applications leadsto more energy consumption in wireless networks to satisfy servicequality.Therefore, energy-efficient communications have been paidmore attention to limited energy resources and environmentallyfriendly transmission functioning. Countless publications arepresent in this domain which focuses on intensifying networkenergy efficiency for uplink-downlink transmission.It is done eitherby using linear precoding schemes, by amending the number ofantennas per BS, by power control problem formulation, antennaselection schemes, level of hardware impairments, and byconsidering cell-free (CF) Massive-MIMO.After reviewing thesetechniques, still there are many barriers to implement thempractically. The strategies mentioned in this review show theperformance of EE under the schemes as raised above. The chiefcontribution of this work is the comparative study of how MassiveMIMO EE performs under the background of different methodsand architectures and the solutions to few problem formulationsthat affect the EE of network systems. This study will help choosethe best criteria to improve EE of Massive MIMO whileformulating a newer edition of testing stand-ards.This surveyprovides the base for interested readers in energy efficient MassiveMIMO

Comparative Analysis of Procedures and Solutions to Improve Energy Efficiency of Massive MIMO

The blustery growth of high data rate applications leadsto more energy consumption in wireless networks to satisfy servicequality.Therefore, energy-efficient communications have been paidmore attention to limited energy resources and environmentallyfriendly transmission functioning. Countless publications arepresent in this domain which focuses on intensifying networkenergy efficiency for uplink-downlink transmission.It is done eitherby using linear precoding schemes, by amending the number ofantennas per BS, by power control problem formulation, antennaselection schemes, level of hardware impairments, and byconsidering cell-free (CF) Massive-MIMO.After reviewing thesetechniques, still there are many barriers to implement thempractically. The strategies mentioned in this review show theperformance of EE under the schemes as raised above. The chiefcontribution of this work is the comparative study of how MassiveMIMO EE performs under the background of different methodsand architectures and the solutions to few problem formulationsthat affect the EE of network systems. This study will help choosethe best criteria to improve EE of Massive MIMO whileformulating a newer edition of testing stand-ards.This surveyprovides the base for interested readers in energy efficient MassiveMIMO