Abstract
This paper considers a two-user Gaussian interference channel with energy harvesting transmitters. Different than conventional battery powered wireless nodes, energy harvesting transmitters have to adapt transmission to availability of energy at a particular instant. In this setting, the optimal power allocation problem to maximize the sum throughput with a given deadline is formulated. The convergence of the proposed iterative coordinate descent method for the problem is proved and the short-term throughput maximizing offline power allocation policy is found. Examples for interference regions with known sum capacities are given with directional water-filling interpretations. Next, stochastic data arrivals are addressed. Finally, online and/or distributed near-optimal policies are proposed. Performance of the proposed algorithms are demonstrated through simulations.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 151-161 |
| Number of pages | 11 |
| Journal | Journal of Communications and Networks |
| Volume | 14 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 12 2012 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Networks and Communications
Cite this
}
Sum-Rate Optimal Power Policies for Energy Harvesting Transmitters in an Interference Channel. / Tutuncuoglu, Kaya; Yener, Aylin.
In: Journal of Communications and Networks, Vol. 14, No. 2, 12.04.2012, p. 151-161.Research output: Contribution to journal › Article
TY - JOUR
T1 - Sum-Rate Optimal Power Policies for Energy Harvesting Transmitters in an Interference Channel
AU - Tutuncuoglu, Kaya
AU - Yener, Aylin
PY - 2012/4/12
Y1 - 2012/4/12
N2 - This paper considers a two-user Gaussian interference channel with energy harvesting transmitters. Different than conventional battery powered wireless nodes, energy harvesting transmitters have to adapt transmission to availability of energy at a particular instant. In this setting, the optimal power allocation problem to maximize the sum throughput with a given deadline is formulated. The convergence of the proposed iterative coordinate descent method for the problem is proved and the short-term throughput maximizing offline power allocation policy is found. Examples for interference regions with known sum capacities are given with directional water-filling interpretations. Next, stochastic data arrivals are addressed. Finally, online and/or distributed near-optimal policies are proposed. Performance of the proposed algorithms are demonstrated through simulations.
AB - This paper considers a two-user Gaussian interference channel with energy harvesting transmitters. Different than conventional battery powered wireless nodes, energy harvesting transmitters have to adapt transmission to availability of energy at a particular instant. In this setting, the optimal power allocation problem to maximize the sum throughput with a given deadline is formulated. The convergence of the proposed iterative coordinate descent method for the problem is proved and the short-term throughput maximizing offline power allocation policy is found. Examples for interference regions with known sum capacities are given with directional water-filling interpretations. Next, stochastic data arrivals are addressed. Finally, online and/or distributed near-optimal policies are proposed. Performance of the proposed algorithms are demonstrated through simulations.
UR - http://www.scopus.com/inward/record.url?scp=85008541019&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85008541019&partnerID=8YFLogxK
U2 - 10.1109/JCN.2012.6253063
DO - 10.1109/JCN.2012.6253063
M3 - Article
AN - SCOPUS:85008541019
VL - 14
SP - 151
EP - 161
JO - Journal of Communications and Networks
JF - Journal of Communications and Networks
SN - 1229-2370
IS - 2
ER -