TY - GEN
T1 - Transmission policies for asymmetric interference channels with energy harvesting nodes
AU - Tutuncuoglu, Kaya
AU - Yener, Aylin
PY - 2011/12/1
Y1 - 2011/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84857151913&partnerID=8YFLogxK
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U2 - 10.1109/CAMSAP.2011.6135980
DO - 10.1109/CAMSAP.2011.6135980
M3 - Conference contribution
AN - SCOPUS:84857151913
SN - 9781457721052
T3 - 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
SP - 197
EP - 200
BT - 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
T2 - 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Y2 - 13 December 2011 through 16 December 2011
ER -