Capacity with Explicit Delay Guarantees for Generic Sources over Correlated Rayleigh Channel

Soret, Beatriz; Aguayo-Torres, Mari Carmen; Entrambasaguas, J.T.

doi:10.1109/twc.2010.06.081599

Cited by 61 publications

(66 citation statements)

References 18 publications

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“…Therefore, we use the central limit theorem (CLT) to estimate it. This follows from an approach which is also pursued in [47] and which we have also studied in [48].…”

Section: Effective Capacity Formulationmentioning

confidence: 99%

Resource allocation for statistical QoS guarantees in MIMO cellular networks

Memis

Erçetin

Gürbüz

et al. 2015

J Wireless Com Network

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This work considers the performance of the downlink channel of MIMO cellular networks serving multiple users with different statistical QoS requirements. The paper proposes resource allocation algorithms that aim to optimize the system performance over the sum of the optimal user utility functions by employing the effective capacity theory. Proportionally fair resource allocation among the users is performed via two different approaches and solutions, namely, the Frame Allocation Algorithm (FAA), which involves dynamic time allocation for transmit beamforming, and the Power Allocation Algorithm (PAA), which provides optimal power control for space division multiple access. In FAA, each user is assigned a distinct slot of optimal length, based on the instantaneous channel conditions of the active users in each frame; while in PAA, resource allocation is performed via power assignment by taking into account the long-term averages of the channel conditions across all users. The efficacy of the proposed algorithms are demonstrated via numerical experiments considering realistic channel models and various QoS settings.

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“…Therefore, we use the central limit theorem (CLT) to estimate it. This follows from an approach which is also pursued in [47] and which we have also studied in [48].…”

Section: Effective Capacity Formulationmentioning

confidence: 99%

Resource allocation for statistical QoS guarantees in MIMO cellular networks

Memis

Erçetin

Gürbüz

et al. 2015

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…For this reason, effective capacity is defined as the maximum constant arrival rate that a wireless channel can support in order to guarantee QoS requirements such as the delay constraint. The effective capacity concept is completely discussed in [2,3]. Using the results of these papers, the effective capacity in the uncorrelated channel is written as…”

Section: System Modelmentioning

confidence: 99%

“…Once a delay requirement is violated, the corresponding data packet is discarded. In this regard, the interesting theory of effective capacity has been presented recently [2,3]. Effective capacity is defined as the maximum constant arrival rate that a wireless channel can support in order to guarantee quality-of-service (QoS) requirements such as the queue length or the delay constraint.…”

Section: Introductionmentioning

confidence: 99%

Characterization of effective capacity in AF relay systems

Lari

Mohammadi

Abdipour

et al. 2012

IEICE Electron. Express

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“…If the increments sj[i] of the cumulative service process Sj[i] can be assumed to be i.i.d., a convenient simplification is to obtain the log-moment generating function via the law of the large numbers [14]. Denoting the increments in the following simply by sj, the effective service capacity can be obtained by:…”

Section: Queue Performance Approximation By Effective Service Capacitmentioning

confidence: 99%

“…Using this expression for θ, we can substitute it in Equation (8) to obtain the following relationship for the maximum sustainable arrival rate r * j which has been first proposed by Soret et al [14]:…”

Section: Queue Performance Approximation By Effective Service Capacitmentioning

confidence: 99%

Effective service capacity analysis of opportunistic multi-carrier OFDMA systems

Gross

Weyres

Wolisz

2012

Proceedings of the 8h ACM Symposium on QoS and Security for Wireless and Mobile Networks

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Exact queuing-theoretic modeling of wireless systems is tough due to the complex service processes that arise from the interaction of the wireless channel with state-of-the-art signal processing algorithms. Nevertheless, with the rise of video applications like streaming and telephony in upcoming fourth generation cellular networks, such analysis is important for devising admission control strategies. In this paper we apply recent insights into approximation approaches for queuing systems to opportunistic OFDMA systems and study different approaches for applying the modulation type to OFDM subcarriers. In particular, we provide analytical closed-form expressions for the delay distribution of three opportunistically scheduling OFDMA systems (adaptive modulation, link adaptation per terminal, link adaptation over all subcarriers). After validating these expressions, we evaluate the different system designs numerically. We find that although adaptive modulation systems have a higher complexity, their queuing performance is only slightly superior to systems with link adaptation per terminal. Furthermore, the systems feature in general an optimal number of terminals that can be supported in the cell, leveraging multi-user diversity with limited available resources. Nevertheless, these optima change from scheme to scheme.

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Capacity with Explicit Delay Guarantees for Generic Sources over Correlated Rayleigh Channel

Cited by 61 publications

References 18 publications

Resource allocation for statistical QoS guarantees in MIMO cellular networks

Resource allocation for statistical QoS guarantees in MIMO cellular networks

Characterization of effective capacity in AF relay systems

Effective service capacity analysis of opportunistic multi-carrier OFDMA systems

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