BioCare: An Energy-Efficient CGRA for Bio-Signal Processing at the Edge

Author(s):  
Zahra Ebrahimi ◽  
Akash Kumar
Author(s):  
Leif Katsuo Oxenløwe ◽  
Michael Galili ◽  
Hans Christian Hansen Mulvad ◽  
Hao Hu ◽  
Pengyu Guan ◽  
...  

Author(s):  
Vignesh Raja Karuppiah Ramachandran ◽  
Andrea Sanchez Ramirez ◽  
Berend Jan van der Zwaag ◽  
Nirvana Meratnia ◽  
Paul Havinga

Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 923 ◽  
Author(s):  
Ali Sodhro ◽  
Arun Sangaiah ◽  
Gul Sodhro ◽  
Sonia Lohano ◽  
Sandeep Pirbhulal

The promising approach to enhance energy efficiency (EE) in LTE-A network is to switch underutilized evolved node B (eNB) to sleep mode, but it increases the transmission power to guarantee the coverage under the remaining active eNBs. The increase in transmission power can be reduced by coordinated multi-point (CoMP) technique through eNB cooperation, but this technique consumes extra power due to backhaul traffic and signal processing. This problem can be solved by the proposed energy efficient acceleration factor failure rate (EEAFR) algorithm. The algorithm jointly considers the eNB cooperation and DTX mechanism to minimize the backhaul traffic with less failure rate. Also, to enhance energy efficiency, the proposed algorithm efficiently utilizes the cooperation in all traffic load scenarios based on the decision criteria and DTX mechanism. The results are compared with the existing AFEE and Green CoMP with Backhaul Traffic algorithm. In all the traffic loads EEAFR save 59.8% energy and reduces the network outage which depends on the failure rate of the eNB components


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