Energy harvesting in cellular networks is an emerging technique to enhance the sus-
tainability of power-constrained wireless devices. In this thesis, I consider the co-
channel deployment of a macrocell overlaid with several small cells. In our model,
the small cell base stations (SBSs) harvest their energy from environment sources
(e.g., solar, wind, thermal) whereas the macrocell base station (MBS) uses conven-
tional power supply. Given a stochastic energy arrival process, a power control policy
for the downlink transmission of both MBS and SBSs is derived such that they can
obtain their own objectives on a long-term basis (e.g., maintain the target signal-to-
interference-plus-noise ratio [SINR] on a given transmission channel). To this end, I
propose to use two di erent forms of stochastic game for the cases when the number
of SBSs is small and when it becomes very large i.e. a very dense network. Numerical
results demonstrate the signi cance of the developed optimal power control policy in
both cases over the conventional methods.
| Identifer | oai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/30567 |
| Date | 12 1900 |
| Creators | Tran, Thuc |
| Contributors | Hossain, Ekram (Electrical and Computer Engineering), Cai, Jun (Electrical and Computer Engineering) Noman, Mohammed (Computer Science) |
| Publisher | IEEE Globecom 2014 |
| Source Sets | University of Manitoba Canada |
| Detected Language | English |
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