Paper Info
Title
Joint Optimization of Transmission Policies for Collaborative Beamforming With Energy Harvesting Sensors
Abstract
In this paper, we consider a scenario where a number of energy harvesting sensors cooperate to transmit a common message to a distant base station. The goal is to find the jointly optimal transmission (power allocation) policy that maximizes the total throughput for a given deadline. We solve the problem in a semi-analytical manner and rigorously prove its optimality. The computational complexity of the proposed scheme is analyzed in detail and compared with that of interior point methods. Performance is extensively assessed by means of computer simulations. As benchmarks, we consider the case where the transmission policies for each sensor are separately optimized, as well as other cluster-based suboptimal transmission strategies.
Year
DOI
Venue
2014
10.1109/TWC.2014.2323268
Wireless Communications, IEEE Transactions  
Keywords
Field
DocType
array signal processing,energy harvesting,optimisation,telecommunication power management,wireless sensor networks,cluster based suboptimal transmission strategy,collaborative beamforming,common message transmission,computational complexity,distant base station,energy harvesting sensors,optimal power allocation policy,transmission policy,Wireless sensor networks,antenna arrays,energy harvesting,optimization
Base station,Transmission (mechanics),Beamforming,Energy harvesting,Real-time computing,Throughput,Interior point method,Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
13
7
1536-1276
Citations 
PageRank 
References 
3
0.40
15
Authors
3
Name
Order
Citations
PageRank
Lazar Berbakov1215.98
Carles Antón-Haro212020.93
Javier Matamoros320421.25