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Volume-4 | Issue-2
A Review on Identifying Suitable Machine Learning Approach for Internet of Things Applications
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TOWARDS GHZ METALLIC ACCESS NETWORKS
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REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
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TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
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COMPUTATIONAL OFFLOADING FOR PERFORMANCE IMPROVEMENT AND ENERGY SAVING IN MOBILE DEVICES
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ANALYSIS OF ROUTING PROTOCOLS IN FLYING WIRELESS NETWORKS
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Dual Edge-Fed Left Hand and Right Hand Circularly Polarized Rectangular Micro-Strip Patch Antenna for Wireless Communication Applications
Volume-2 | Issue-3
Modified Gray Wolf Feature Selection and Machine Learning Classification for Wireless Sensor Network Intrusion Detection
Volume-3 | Issue-2
TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
Volume-1 | Issue-1
Hybrid Micro-Energy Harvesting Model using WSN for Self-Sustainable Wireless Mobile Charging Application
Volume-3 | Issue-3
Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles
Volume-3 | Issue-3
Cyber-attack and Measuring its Risk
Volume-3 | Issue-4
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Analysis of Solar Power Generation Performance Improvement Techniques
Volume-4 | Issue-3
Pollination Inspired Clustering Model for Wireless Sensor Network Optimization
Volume-3 | Issue-3
Design of Low Power Cam Memory Cell for the Next Generation Network Processors
Volume-3 | Issue-4
A STUDY OF RESEARCH NOTIONS IN WIRELESS BODY SENSOR NETWORK (WBSN)
Volume-1 | Issue-2
Computation of Constant Gain and NF Circles for 60 GHz Ultra-low noise Amplifiers
Volume-3 | Issue-3
Volume - 2 | Issue - 2 | june 2020
Published
26 May, 2020
Future Wi-Fi, 5G Cellular and millimetre-wave (mmWave) will depend on highly directional links in order to prevail over exuberant path loss experienced in the different bands of frequency. However, in order to establish these type of links, the receiver and transmitter need mutual discovery which will result in high energy consumption and large latency. The proposed work deals with reduction of energy consumption and latency significantly with the help of a fully digital front-end. The digital beamformer will receive the spatial samples within a shot, from all directions. However, in analog front-ends, sampling is allowed for beamforming in one particular direction at a time resulting in the time period in which the mobile is "on" for longer. This will result in an increase in energy consumption by more than four times for the analog front-end when compared with digital front-ends, taking into consideration the antenna arrays' size. However, from the power consumption point of view, using a fully digital beamforming post beam discovery is not recommended. Hence in order to overcome this drawback, a digital beamformer coupled with a 4-bit A-D convertor with low resolution is proposed. The use of low resolution will decrease the power consumption such that it is in the same zone as that of analog beam forming while it is possible to make use of the fully digital beamforming spatial multiplexing capabilities resulting in improved energy efficiency and reduced discovery latency.
KeywordsDigital beamformer analog beam former path loss directional links
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