We investigate power consumption of a mobile station with the power saving class of type 1 in the IEEE 802.16e. We deal with stochastic behavior of mobile station during not only sleep mode period but also awake mode period with both downlink and uplink traffics. Our methods for investigating the power saving class of type 1 are to construct the embedded Markov chain and the semi-Markov chain g...

The mass of the embedded systems are driven by second batteries, not by wired power supply. So saving energy is one of the main design goals for embedded system. In this paper we present a new technique for modelling and solving the dynamic power management (DPM) problem for embedded systems with complex behavioural characteristics. First we model a power-managed embedded computing system as a ...

Wireless adhoc networks are a new type of wireless network which can communicate to each other without infrastructure base stations .Battery power is a vital resource in ad hoc networks. In ad hoc networks, energy consumption does not reveal the communication activities in the network. However, due to restricted power, routing path is broken easily, so how to design an effective power saving ro...

To save energy, many power management policies rely on issuing mode-change commands to the components of the system. Efforts to date have focused on how these policies interact with the external workload. However, the energy savings are ultimately limited by the set of power-saving modes available to the power manager. This paper exposes new power-saving opportunities to existing systemlevel po...

In this paper, an optimal power allocation scheme is derived in cognitive radio systems under the condition of finite symbol alphabet input as used in practical communication systems. The proposed scheme is shown to save transmit power compared to its conventional counterpart, which assumes Gaussian inputs. Numerical results reveal that, for distances between the SU transmitter and the PU recei...