On the analysis of effective capacity over generalized fading channels

Ji, Zhe; Dong, Chao; Wang, Youzheng; Lu, Jianhua

doi:10.1109/icc.2014.6883613

Cited by 38 publications

(28 citation statements)

References 20 publications

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“…Another very interesting conclusion from this work is that, the effective rate is prone to the severity of fading channels. 6) Generalized Fading Models: Compared to other fading models such as Rayleigh and Rician, generalized fading models provide a general framework with the combination of one or more fading model [233]. In general, EC concept can be used to analyze the performance of generalized channel fading models with various adaptive transmission policies under different fading and transmission constraints.…”

Section: A Stochastic Fading Modelsmentioning

confidence: 99%

Effective Capacity in Wireless Networks: A Comprehensive Survey

Amjad

Musavian

Rehmani

2019

IEEE Commun. Surv. Tutorials

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Low latency applications, such as multimedia communications, autonomous vehicles, and Tactile Internet are the emerging applications for next-generation wireless networks, such as 5th generation (5G) mobile networks. Existing physicallayer channel models, however, do not explicitly consider qualityof-service (QoS) aware related parameters under specific delay constraints. To investigate the performance of low-latency applications in future networks, a new mathematical framework is needed. Effective capacity (EC), which is a link-layer channel model with QoS-awareness, can be used to investigate the performance of wireless networks under certain statistical delay constraints. In this paper, we provide a comprehensive survey on existing works, that use the EC model in various wireless networks. We summarize the work related to EC for different networks such as cognitive radio networks (CRNs), cellular networks, relay networks, adhoc networks, and mesh networks. We explore five case studies encompassing EC operation with different design and architectural requirements. We survey various delay-sensitive applications such as voice and video with their EC analysis under certain delay constraints. We finally present the future research directions with open issues covering EC maximization.

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Section: A Stochastic Fading Modelsmentioning

confidence: 99%

Effective Capacity in Wireless Networks: A Comprehensive Survey

Amjad

Musavian

Rehmani

2019

IEEE Commun. Surv. Tutorials

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“…It has been clearly pointed out in [15]- [17] that MGF based approaches are beneficial in simplifying the analysis or even enabling the calculations of some important performance indexes when the PDF based approaches seem impractical. There are successful trials to use the MGF based approach to analyse the effective rate under single input single output (SISO) conditions [18] and multi-hop systems [19]. In addition, H transform analysis method [20] has been exploited in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…Note that when dealing with multiple channels, the instantaneous channel power gain at the receiver is described by multivariate random variable in general cases, which is different from the SISO conditions where univariate random variable may be sufficient. In [18], the SISO case is well studied, yet the results are hard to extend to multiple channel conditions, which is the main focus of this paper. Moreover, in this paper we use the H transform and multivariate Fox's H function to present the effective rate over both i.n.i.d.…”

Section: Introductionmentioning

confidence: 99%

Unified Framework for the Effective Rate Analysis of Wireless Communication Systems Over MISO Fading Channels

You

Sun

Jiang

et al. 2017

IEEE Trans. Commun.

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This paper proposes a unified framework for the effective rate analysis over arbitrary correlated and not necessarily identical multiple inputs single output (MISO) fading channels, which uses moment generating function (MGF) based approach and H transform representation. The proposed framework has the potential to simplify the cumbersome analysis procedure compared to the probability density function (PDF) based approach. Moreover, the effective rates over two specific fading scenarios are investigated, namely independent but not necessarily identical distributed (i.n.i.d.) MISO hyper Fox's H fading channels and arbitrary correlated generalized K fading channels. The exact analytical representations for these two scenarios are also presented. By substituting corresponding parameters, the effective rates in various practical fading scenarios, such as Rayleigh, Nakagami-m, Weibull/Gamma and generalized

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“…Much research has been devoted to providing complicated closed-form expressions for the effective capacity of wireless channels [6,7]. Guo et al [7] derives the effective capacity for MIMO channels under maximal ratio combining and adaptive modulation, by modeling a MIMO channel in terms of its number of DoFs as a Markov chain and conditioning on the number of DoFs, and [25] uses the effective capacity theory to perform optimal power allocation for a group of independent mobile stations in a virtual MIMO system in the uplink direction.…”

Section: Related Work and Backgroundmentioning

confidence: 99%

“…Also, θ can continuously vary from 0 to ∞, and thus a wide spectrum of QoS constraints can be readily characterized by a general model. However, incorporating the effective capacity model into multi-user communications faces significant challenges, which are not encountered in a single user wireless link [4,[6][7][8][9][10]. Multi-user systems often have to dynamically allocate the wireless resources based on mobile users' channel state information (CSI), and they usually need to balance the performances among all mobile users according to users' diverse QoS requirements.…”

Section: Introductionmentioning

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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On the analysis of effective capacity over generalized fading channels

Cited by 38 publications

References 20 publications

Effective Capacity in Wireless Networks: A Comprehensive Survey

Effective Capacity in Wireless Networks: A Comprehensive Survey

Unified Framework for the Effective Rate Analysis of Wireless Communication Systems Over MISO Fading Channels

Resource allocation for statistical QoS guarantees in MIMO cellular networks

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