Abstract
Energy efficiency plays vital roles in wireless communication system due to the “energy limited battery service” of a mobile station (MS). To ensure longer battery life in WiMAX, a new protocol has been introduced in its IEEE802.16m version. This new sleep mode has extended listening window and adjustable sleep cycle length. In this paper, we analyze the probability of attaining at three states: serving state, state of timer inactivity and silent state in a simplified statistical model using traffic parameters of arrival rate, pdf (probability density function) of interarrival time and its threshold value. Finally we developed a new state transition chain of the above three states of a MS of IEEE802.16m and solved the chain in closed form.
Highlights
In IEEE802.16, wireless metropolitan area networks (WMANs), mobile stations (MSs) consume less energy with sleep mode
We observe from this figure that the mean timer inactivity time timeout time (tT) increases exponentially with increase in threshold interarrival time tT and packet arrival rate as is visualized from Figure 3 and Figure 4
In this paper we propose two statistical methods to evaluate the “average timer inactivity time” in a simplified technique compared to the existing models
Summary
In IEEE802.16, wireless metropolitan area networks (WMANs), mobile stations (MSs) consume less energy with sleep mode. This happened when they are served with realtime traffic and offline buffered traffic [1]. Once the size of the listening window in IEEE802.16 is determined, it cannot be adjustable after that For this mechanism, a base station (BS) cannot transmit traffic when MS’s listening window expires, though the BS has more traffic destined in the sleep mode. 802.16m adopts the following new features: 1) One MS, one PSC (power saving class) in the sleep mode; and 2) the adjustable listening window which is dependent on BS’s buffer status and/or hybrid automatic repeat request (HARQ) retransmission state [2].
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