The emerging broadband wireless access (BWA) technology based on IEEE 802.16 is one of the most promising solutions to provide ubiquitous wireless access to the broadband service at low cost. This paper proposes an efficient uplink bandwidth request-allocation algorithm for variable-rate realtime services in IEEE 802.16 BWA networks. In order to minimize bandwidth wastage without degrading quality of service (QoS), we introduce a notion of target delay and propose dual feedback architecture. The proposed algorithm calculates the amount of bandwidth request such that the delay is regulated around the desired level to minimize delay violation and delay jitter for real-time services. Also, it can maximize utilization of wireless channel by making use of dual feedback, where the bandwidth request is adjusted based on the information about the backlogged amount of traffic in the queue and the rate mismatch between packet arrival and service rates. Due to the dual feedback architecture, the proposed scheme responds quickly to the variation of traffic load and is robust to the change of network condition. We analyze the stability of the proposed algorithm from a control-theoretic viewpoint and derive a simple design guideline based on the analysis. By implementing the algorithm in OPNET simulator, we evaluate its performance in terms of queue regulation, optimal bandwidth allocation, delay controllability, and robustness to traffic characteristics.Index Terms-IEEE 802.16, uplink scheduling, bandwidth request, quality of service, real-time service 1 In this paper, a packet denotes a MAC-layer payload without including MAC-layer overhead, i.e., MAC service data unit (MSDU), unless otherwise stated.This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE INFOCOM 2008 proceedings. 978-1-4244-2026-1/08/$25.00
Characteristics of the data retention time (tRET) of nano-scale DRAM have been described. In addition, new approaches to enhance tRET and their properties have been analyzed. To optimize the process, we developed the &ET-modeling methodology, which has a good agreement with experimental data. The key feature of the methodology is an indirect probing of the tail leakage current by fitting the leakage model to reproduce the measured characteristics of the retention. The model shows the GIDL current is a major factor determining tRET of 80nm RCAT technology.
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