学术预告（周五）：Characterizing Energy-Delay Tradeoff...
Characterizing Energy-Delay Tradeoff in Hyper-Cellular Networks with Base Station Sleeping Control
One of the key approaches to make the mobile communication networks more
) is to have the cellular architecture and radio resource allocation more adaptive to the environment and traffic variations, including making some lightly-loaded base stations (BSs) go to sleep. This is the concept of so-called
etwork planning and
) published by the author earlier. To realize this, a new cellular framework, named
), has been proposed, in which the coverage of control signals is decoupled from the coverage of data signals so that the data coverage can be more elastic in accordance with the dynamics of traffic characteristics and QoS requirements. Due to this elasticity of HCN, some delay-insensitive users may have to experience some delay or other kind of QoS degradation when traffic load is high in order to save energy, i.e., energy can be traded off by some delay. The fundamental question then arises:
how much energy can be traded off by a tolerable delay?
In this talk, w
e characterize the tradeoffs between energy consumption and service delay in a base station with sleep mode operations by queueing models. The base station is modeled as an
times, where the base station enters sleep mode if no customers arrive during the close-down time after the queue becomes empty and it starts to setup when it sees
arriving customers during its sleep period. Several closed-form formulas are derived to demonstrate the tradeoffs between the energy consumption and the mean delay by changing the close-down time, setup time, and
. It is shown that the relationship between the energy consumption and the mean delay is linear in terms of mean close-down time, but non-linear in terms of
. The explicit relationship between total power consumption and average delay with varying service rate is also analyzed theoretically, indicating that sacrificing delay cannot always be traded for energy saving. In other words, larger
may lead to lower energy consumption, but there exists an
that minimizes the mean delay. We also investigate the maximum delay for certain percentage of service, which is closely related to the mean delay. In summary, the closed-form tradeoffs cast light on designing BS sleep control policies which aim to save energy while maintaining acceptable quality of service.
澳门皇冠金沙网站： 最后修改日期: 2014-05-29 09:37:52.0