Abstract
Abstract This study proposes an energy-saving centric uplink scheduling (ESC-US) scheme to support efficient energy usage and satisfy the quality of service (QoS) requirements of Worldwide Interoperability for Microwave Access (WiMax) networks. The uplink resource allocation is different from that of the downlink resource allocation scheme because the uplink traffic is queued at the mobile station (MS) and the base station (BS) has no information regarding it without using a polling procedure. The considered resource scheduling schemes maximize the sleep efficiency and consider the QoS requirements of individual MSs. The proposed scheduling scheme in this study considers the delay budget of MSs with real-time connections and the required minimum reserved traffic rate (MRTR) of MSs with non-real time connections when maximizing sleep efficiency. Both scheduling schemes for the traffic of real-time polling services (rtPS) and non-real-time polling services (nrtPS) apply the ‘just enough QoS’ and ‘sleep before transmission’ (SbT) concepts to achieve this energy-saving centric objective. Exhaustive simulations were conducted to examine the performance of the proposed schemes. The simulation results show that both schemes guarantee the desired QoS and achieve superior energy-savings efficiencies compared to the conventional scheme.
Highlights
The rapid progress of broadband wireless access technologies, such as Worldwide Interoperability for Microwave Access (WiMax) [1] and long-term evolution (LTE) [2], and power mobile devices stimulates the flourishing deployment of mobile internet services
The uplink scheduling scheme is proposed from an energy-saving viewpoint in this study
The simulation results demonstrate that the proposed sleep before transmission’ (SbT) concept is meaningful and the energy-saving performance is superior to the traditional scheme
Summary
The rapid progress of broadband wireless access technologies, such as Worldwide Interoperability for Microwave Access (WiMax) [1] and long-term evolution (LTE) [2], and power mobile devices stimulates the flourishing deployment of mobile internet services. The slow improvement in battery technologies [3] has led to an exponentially increasing gap between available and required battery capacities [4]. Conserving energy is a crucial factor for mobile devices in practical applications. Because wireless internet is a shared medium, device energy efficiency is affected by the layers that compose the point-to-point communication link and the interaction between the links in the entire network [5]. The efficient conservation of energy to achieve longer mobile station (MS) operation times is vital to the success of mobile internet services. Most wireless access networks provide the quality of service (QoS)
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