Joint channel-aware and queue-aware data scheduling in multiple shared wireless channels

Song, Guolin; Li, Yaofa; Cimini, Leonard J.; Zheng, Haitao

doi:10.1109/wcnc.2004.1311850

Cited by 100 publications

(65 citation statements)

References 10 publications

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“…This observation is consistent with those studies in literature which take advantage of backlog information (e.g. [13] and [14]). However, the more interesting and important observation is the performance of Algo-I in the light-to-moderate traffic regime (below 6 packets/user/timeslot).…”

Section: A Numerical Comparisons and Simulationsupporting

confidence: 93%

“…Although the problem of optimal real-time subcarrier allocation has been extensively studied (see [4]- [14] and references therein), our work is philosophically different from most of literature: Often, in subcarrier allocation, an "instantaneous throughput" is maximized while assuming infinitely backlogged buffers; the algorithms are run periodically, to allow updates regarding channel variations and varying number of data streams. The problem with these techniques is that the scheduler fails to anticipate the impact of its allocation decision on the future state of the system.…”

Section: Introductionmentioning

confidence: 99%

“…In other words, we focus on minimizing the long-term average performance i.e. average queue backlog [14]). In this paper, we also show that the value of QSI vs. CSI varies with the arrival statistics.…”

Section: Introductionmentioning

confidence: 99%

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Resource Allocation in OFDMA with Time-Varying Channel and Bursty Arrivals

Javidi

2007

IEEE Commun. Lett.

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Abstract-This paper considers the issue of delay optimal subcarrier allocation in OFDMA wireless networks when the arrivals and channels are stochastic. Our objective is to minimize the longterm average packet delay over multiple time epochs. In previous studies, we have shown that the optimal policy is complicated and unknown. However, based on the insights learned from a simple On-Off channel model, we provide heuristic policies that use different degrees of channel and queue state information. More importantly, these examples show how the significance of queue vs. channel state information varies with the traffic load. This is of extreme practical interest when one considers the overhead associated with channel estimation and feedback.

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Section: A Numerical Comparisons and Simulationsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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Resource Allocation in OFDMA with Time-Varying Channel and Bursty Arrivals

Javidi

2007

IEEE Commun. Lett.

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“…In addition, OFDMA is a flexible multiple-access technique that can accommodate many users with widely varying applications, data rates, and QoS requirements. Because the multiple access is performed in the digital domain, before the IFFT operation, dynamic and efficient bandwidth allocation is possible [1,2,3]. This allows sophisticated timeand frequency-domain scheduling algorithms to be integrated in order to best serve the user population…”

Section: Introductionmentioning

confidence: 99%

Adaptive Subcarrier and Bit Allocation for Downlink OFDMA System with Proportional Fairness

Lande¹,

Helonde²,

Pande³

et al. 2011

IJWMN

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“…A vacation queueing model was adopted in [9] to analyze the link-layer queueing performance of OFDM-TDMA systems with roundrobin scheduling. A queueing model for OFDMA systems was used in [10] to design a scheduling scheme that balances multiuser diversity and queueing delay.…”

mentioning

confidence: 99%

Cross-layer QoS Analysis of Opportunistic OFDM-TDMA and OFDMA Networks

Chang

Chien

Kuo

2007

IEEE J. Select. Areas Commun.

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Abstract-Performance analysis of multiuser orthogonal frequency division multiplexing (OFDM-TDMA) and orthogonal frequency division multiple access (OFDMA) networks in support of multimedia transmission is conducted in this work. We take a cross-layer approach and analyze several quality-of-service (QoS) measures that include the bit rate and the bit error rate (BER) in the physical layer, and packet average throughput/delay and packet maximum delay in the link layer. We adopt a cross-layer QoS framework similar to that in IEEE 802.16, where service classification, flow control and opportunistic scheduling with different subcarrier/bit allocation schemes are implemented. In the analysis, the Rayleigh fading channel in the link layer is modeled by a finite-state Markov chain, and the channel state information (CSI) is assumed to be available at the base station. With the M/G/1 queueing model and flow control results, our analysis provides important insights into the performance difference of these two multiaccess systems. The derived analytical results are verified by extensive computer simulation. It is demonstrated by analysis and simulation that OFDMA outperforms OFDM-TDMA in QoS metrics of interest. Thus, OFDMA has higher potential than OFDM-TDMA in supporting multimedia services.Index Terms-quality of services (QoS), multiple access, OFDM, OFDMA, cross-layer analysis, opportunistic scheduling.

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Joint channel-aware and queue-aware data scheduling in multiple shared wireless channels

Cited by 100 publications

References 10 publications

Resource Allocation in OFDMA with Time-Varying Channel and Bursty Arrivals

Resource Allocation in OFDMA with Time-Varying Channel and Bursty Arrivals

Adaptive Subcarrier and Bit Allocation for Downlink OFDMA System with Proportional Fairness

Cross-layer QoS Analysis of Opportunistic OFDM-TDMA and OFDMA Networks

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