Abstract
Recent works have validated the possibility of energy efficiency
improvement in radio access networks (RAN), depending on dynamically turn
on/off some base stations (BSs). In this paper, we extend the research over BS
switching operation, matching up with traffic load variations. However,
instead of depending on the predicted traffic loads, which is still
quite challenging to precisely forecast, we formulate the traffic
variation as a Markov decision process (MDP). Afterwards, in order to
foresightedly minimize the energy consumption of RAN, we adopt the
actor-critic method and design a reinforcement learning framework based BS
switching operation scheme. In the end, we evaluate our proposed scheme by
extensive simulations under various practical configurations and prove
the feasibility of significant energy efficiency improvement.
Original language | English |
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Title of host publication | Proceedings of Globecom 2012 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 1556-1561 |
ISBN (Electronic) | 978-1-4673-0921-9 |
ISBN (Print) | 978-1-4673-0920-2 |
DOIs | |
Publication status | Published - 2012 |
MoE publication type | A4 Article in a conference publication |
Event | IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States Duration: 3 Dec 2012 → 7 Dec 2012 |
Conference
Conference | IEEE Global Communications Conference, GLOBECOM 2012 |
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Abbreviated title | GLOBECOM 2012 |
Country/Territory | United States |
City | Anaheim, CA |
Period | 3/12/12 → 7/12/12 |