Capacity, Fairness, and QoS Trade-Offs in Wireless Networks with Applications to LTE

Rodrigues, Emanuel B.; Lima, F. Rafael M.; Casadevall, F.; Cavalcanti, Francisco R. P.

doi:10.1007/978-1-4614-8057-0_4

Cited by 2 publications

(2 citation statements)

References 32 publications

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“…our framework will be reduced to HOL-delay fairness proposed in [65], similar to mean-delay fairness in [13]. The same observation in [13] for trade-o↵ between delay fairness and throughput (or equivalently resource efficiency) can be seen for HOLdelay fairness, by controlling the parameter ⌫ d HOL (1  ⌫ d HOL ) [66]. Reference [65] used the HOL-delay fairness and GPF mechanism sequentially (or with static separation) for RT and NRT flows packet scheduling and RB allocation.…”

Section: Delay Fairness Through Wgpfmentioning

confidence: 85%

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Utility-Based Packet Scheduling and Resource Allocation Algorithms with Heterogeneous Traffic for Wireless OFDMA Networks

Koupaei¹

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The focus of this dissertation is on studying various packet scheduling and resource block (RB) allocation algorithms, for a variety of flow requirements, heterogeneous traffic, and architecture, in wireless OFDMA networks.In the second chapter, we investigate packet scheduling and RB allocation algorithms for realtime (RT) and non-realtime (NRT) packet-switched flows. We start by specifying di↵erent quality-of-service (QoS)-requirements for RT & NRT flows and present di↵erent packet scheduling and RB allocation algorithms (including known cores and novel cores) based on the bit-rate driven utilities and the delay driven disutilities. We, then, summarize the machinery for attaining di↵erent fairness and QoS-requirements in a pair of classification tables (including a novel intuitive decom-First and foremost, I am grateful to God, the Gracious and the Merciful. I am very thankful to my lovely parents for their endless support and the encouragement through my entire life. I would like to acknowledge the encouragement, valuable guidance, and the support I received from Prof. Halim Yanıkömeroḡlu, as well as his tremendous e↵orts to build and to continuously expand a dynamic large research group with members from the industry and from the academia. Many thanks go to all the members of our research group, especially, my project managers, industry

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Section: Delay Fairness Through Wgpfmentioning

confidence: 85%

“…Parameter ↵ in GPF can be used in a closed loop control system to achieve a target level of fairness [66].…”

Section: Sequential Edf and Gpfmentioning

confidence: 99%

Utility-Based Packet Scheduling and Resource Allocation Algorithms with Heterogeneous Traffic for Wireless OFDMA Networks

Koupaei¹

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Joint Realtime and Nonrealtime Flows Packet Scheduling and Resource Block Allocation in Wireless OFDMA Networks

Sharifian

Schoenen

Yanıkömeroğlu

2016

IEEE Trans. Veh. Technol.

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Capacity, Fairness, and QoS Trade-Offs in Wireless Networks with Applications to LTE

Cited by 2 publications

References 32 publications

Utility-Based Packet Scheduling and Resource Allocation Algorithms with Heterogeneous Traffic for Wireless OFDMA Networks

Utility-Based Packet Scheduling and Resource Allocation Algorithms with Heterogeneous Traffic for Wireless OFDMA Networks

Joint Realtime and Nonrealtime Flows Packet Scheduling and Resource Block Allocation in Wireless OFDMA Networks

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