Article

# Adaptive sleep mode management in IEEE 802.16m wireless metropolitan area networks.

Computer Networks 01/2011; 55:3774-3783. DOI: 10.1016/j.comnet.2011.03.002

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**ABSTRACT:**In this work, we analyze the power saving and its impact on web traffic performance when customers adopt the continuous connectivity paradigm. To this end, we provide a model for packet transmission and cost. We model each mobile user's traffic with a realistic web traffic profile, and study the aggregate behavior of the users attached to a base station by means of a processor-shared queueing system. In particular, we evaluate user access delay, download time and expected economy of energy in the cell. Our study shows that dramatic energy saving can be achieved by mobile devices and base stations, e.g., as much as 70%–90% of the energy cost in cells with realistic traffic load and the considered parameter settings.Pervasive and Mobile Computing 10/2012; · 1.63 Impact Factor - [Show abstract] [Hide abstract]

**ABSTRACT:**We analyze the power-saving operation in Third-Generation Partnership Project (3GPP) Long-Term Evolution Advanced (LTE Advanced) wireless networks. Typically, it is an exhausting and complicated job to numerically analyze the performance of power-saving operations since it is necessary to carefully consider every possible probability, make probability-generating functions, and differentiate these functions. Instead, we develop a totally new approach toward simple but accurate derivations. For this purpose, we divide the time period for the steady-state power-saving operation into several independent parts. Then, we analyze the power-saving operation in each part and thereafter combine the results into an aggregate result. The new approach enables us to avoid sophisticated steps while we reach an accurate analytical model. The equations are validated through comparison with simulation results.IEEE Transactions on Vehicular Technology 01/2012; 61(4):1779-1785. · 2.06 Impact Factor -
##### Article: A sleep-mode interleaving algorithm for layered-video multicast services in IEEE 802.16e networks

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**ABSTRACT:**a b s t r a c t In this paper we investigate efficient mechanisms to support layered-video multicast ser-vices in IEEE 802.16e (Mobile WiMAX) networks. 1 Given the bandwidth eager and energy hungry nature of layered-video multicast services, network systems should employ efficient bandwidth allocation and energy saving mechanisms. We first investigate how the WiMAX energy saving mechanisms significantly degrade the performance of multicast bandwidth allocation mechanisms for layered-video multicast services. Then, we present a theoretical model for illustrating this interaction problem. To the best of our knowledge, this paper offers the first investigation into and the first theoretical model of the interaction problem between multicast bandwidth allocation and WiMAX energy saving mechanisms. To solve the interac-tion problem, we propose a novel sleep-mode interleaving algorithm beyond the existing mechanisms. The proposed algorithm has full compatibility with the existing multicast band-width allocation mechanisms and with IEEE 802.16e standards. By appropriately adjusting one sleep mode parameter defined in the standard, the proposed sleep-mode interleaving algorithm effectively guarantees the bandwidth efficiency of the video multicast mechanisms while mobile users can execute the standard sleep mode operations. Simulation results dem-onstrate the effectiveness of the proposed algorithm in terms of packet delivery ratio, user satisfaction, energy efficiency and computational complexity. Ó 2012 Elsevier B.V. All rights reserved.Computer Networks 01/2012; 56(16):3639-3654. · 1.23 Impact Factor

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