DocumentCode
3105761
Title
Transmission policies for asymmetric interference channels with energy harvesting nodes
Author
Tutuncuoglu, Kaya ; Yener, Aylin
Author_Institution
Electr. Eng. Dept., Pennsylvania State Univ., University Park, PA, USA
fYear
2011
fDate
13-16 Dec. 2011
Firstpage
197
Lastpage
200
Abstract
Energy harvesting terminals are emerging as favorable alternatives to conventional terminals for wireless (sensor) networking due to environmental concerns and their potential to extend the network lifetime. Stochastic availability of energy for such networks calls for new network design insights on power control and scheduling, particularly in multi-user settings with interference. This paper considers an asymmetric interference channel with two transmitters and two receivers, and seeks optimal power policies to maximize sum capacity in an energy harvesting setting. It is shown that in the asymmetric interference case, the optimal sum capacity for the channel can be found by iteratively employing single-user optimizations, and the corresponding single-user problems are solved using modified water-filling algorithms such as directional water-filling and generalized water-filling. The performance of the proposed iterative algorithm is demonstrated through numerical results.
Keywords
energy harvesting; interference (signal); iterative methods; stochastic processes; wireless channels; wireless sensor networks; asymmetric interference case; asymmetric interference channels; directional water-filling; energy harvesting nodes; energy harvesting terminals; environmental concerns; generalized water-filling; iterative algorithm; multiuser settings; network design insights; network lifetime; optimal power policies; optimal sum capacity; power control; scheduling; single-user optimizations; stochastic availability; transmission policies; water-filling algorithms; wireless sensor networking; Energy harvesting; Interference channels; Iterative methods; Resource management; Transmitters; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 4th IEEE International Workshop on
Conference_Location
San Juan
Print_ISBN
978-1-4577-2104-5
Type
conf
DOI
10.1109/CAMSAP.2011.6135980
Filename
6135980
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