Convergence of ethernet PON and IEEE 802.16 broadband access networks and its QoS-aware dynamic bandwidth allocation scheme

Yang, Kun; Ou, Shumao; Guild, K.; Chen, Hsiao‐Hwa

doi:10.1109/jsac.2009.090202

Cited by 153 publications

(87 citation statements)

References 17 publications

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“…C ONVENTIONAL multiple-input multiple-output (MIMO) technology, known as point-to-point MIMO, has been widely used in many standards [1]- [3] due to its ability to significantly enhance the performance of wireless communication systems [4]- [5]. Research on cooperative MIMO technologies has recently received much attention [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties

Cheng

Wang

Wang³

et al. 2012

IEEE J. Select. Areas Commun.

159

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Abstract-In this paper, a novel unified channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The proposed model framework is generic and adaptable to multiple cooperative MIMO scenarios by simply adjusting key model parameters. Based on the proposed model framework and using a typical cooperative MIMO communication environment as an example, we derive a novel geometry-based stochastic model (GBSM) applicable to multiple wireless propagation scenarios. The proposed GBSM is the first cooperative MIMO channel model that has the ability to investigate the impact of the local scattering density (LSD) on channel characteristics. From the derived GBSM, the corresponding multi-link spatial correlation functions are derived and numerically analyzed in detail.Index Terms-Cooperative MIMO channels, geometry-based stochastic model, spatial correlation, non-isotropic scattering.

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Section: Introductionmentioning

confidence: 99%

Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties

Cheng

Wang

Wang³

et al. 2012

IEEE J. Select. Areas Commun.

159

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“…The development and application of Ethernet passive optical network technology make it a possible option to meet the demand. Meanwhile, how to ensure an efficient and fair allocation of bandwidth becomes an important issue [13] [33]. This paper proposes a dynamic Quantum allocation method to control cycle time based on Cousin Fair Hierarchical Deficit Round Robin Dynamic Bandwidth Allocation.…”

Section: Discussionmentioning

confidence: 99%

A New Design for Control Method Based on Hierarchical Deficit Round Robin Scheduler for EPON

Cho

Pan

2014

INT J COMPUT COMMUN

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With the development of ICT (Information and Communication Technology), how to use EPON for ensuring an effective and fair bandwidth allocation as well as the quality of service has become an important issue. Our research is based on Cousin Fair Hierarchical Deficit Round Robin Dynamic Bandwidth Allocation (CFH-DRR DBA), which applies the concepts of hierarchical scheduling to reduce extra actions in information controlling and queue switching and DRR (Deficit Round Robin) to attain the goal of cousin fairness. Our research proposes three additional modules to CFHDDR DBA: (1) an admission control module, which limits the sum weight of QoS-controlled flow; (2) a weight partition module, which isolates the sum weight of other interfering flows from QoS-controlled flows; and (3) the quantum adaptation module, which minimizes the access time of QoS-controlled flows through Quantum distribution. With the help of OMNet++ simulation software, this research presents the improvement of CFHDRR by introducing dynamic DDR Quantum. In addition, it proposes admission control and bounded weight to keep the sum of flows within service capacity. The simulation result shows that, while keeping CFHDRR's fairness, the queuing delay is reduced and the cycle time is effectively controlled so that the packet delay of QoS-controlled flows is minimized and QoS of real-time multimedia in EPON is fairly ensured.

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“…From the practical perspective of system design and optimization, it is desirable to understand how the protocol parameters ρ (normalized transmit power of Phase I) and ε (time fraction of Phase II) can be properly set to give an optimized trade-off curve. Although the importance of resource allocation in communication networks has been widely studied and recognized (e.g., [49], [50]). This topic, however, is still under-explored for large scale V-MIMO systems.…”

Section: B Low Se Regimementioning

confidence: 99%

Energy-Spectral Efficiency Trade-Off in Virtual MIMO Cellular Systems

Hong

Yu²,

Wang³

et al. 2013

IEEE J. Select. Areas Commun.

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Abstract-Virtual multiple-input multiple-output (V-MIMO) technology promises significant performance enhancements to cellular systems in terms of spectral efficiency (SE) and energy efficiency (EE). How these two conflicting metrics scale up in large cellular V-MIMO networks is unclear. This paper studies the EE-SE trade-off of the uplink of a multi-user cellular V-MIMO system with decode-and-forward type protocols. We first express the trade-off in an implicit function and further derive closed-form formulas of the trade-off in low and high SE regimes. Unlike conventional MIMO systems, the EE-SE trade-off of the V-MIMO system is shown to be susceptible to many factors including protocol design (e.g., resource allocation) and scenario characteristics (e.g., user density). Focusing on the medium and high SE regimes, we propose a heuristic resource allocation algorithm to optimize the EE-SE tradeoff. The fundamental performance limits of the optimized V-MIMO system are subsequently investigated and compared with conventional MIMO systems in different scenarios. Numerical results reveal a surprisingly chaotic behavior of V-MIMO systems when the user density scales up. Our analysis indicates that low frequency reuse factor, adaptive resource allocation, and user density control are critical to harness the full benefits of cellular V-MIMO systems.Index Terms-Energy efficiency, spectral efficiency, virtual MIMO, adaptive resource allocation.

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Convergence of ethernet PON and IEEE 802.16 broadband access networks and its QoS-aware dynamic bandwidth allocation scheme

Cited by 153 publications

References 17 publications

Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties

Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties

A New Design for Control Method Based on Hierarchical Deficit Round Robin Scheduler for EPON

Energy-Spectral Efficiency Trade-Off in Virtual MIMO Cellular Systems

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