Multi-QoS mobile services guaranteed resource allocation with effective capacity

Jin, Yanliang; Xu, Xiaodong; Wang, Yunting; Tao, Xiaofeng

doi:10.1109/iccchina.2017.8330461

Cited by 2 publications

(1 citation statement)

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“…Effective capacity has been introduced in [7] as a method to model the channel in terms of QoS metrics. The authors in [8] allocate resources in a homogeneous RF network by maximizing the effective capacity. The effective capacity has also been used as the maximization objective in a homogeneous LiFi network in [9].…”

Section: A Related Workmentioning

confidence: 99%

Delay-aware Wireless Resource Allocation and User Association in LiFi-WiFi Heterogeneous Networks

Vijayaraghavan

Kellerer

2021

2021 IEEE Global Communications Conference (GLOBECOM)

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The ever-growing wireless networks demand high capacity, have strict latency requirements, and must support diverse communication services. A LiFi-WiFi heterogeneous network has proven to be a useful tool to satisfy the growing capacity demand. However, to leverage these co-existing, non-interfering technologies, intelligent resource management schemes have to be developed. To support diverse applications with varying delay and data rate requirements, the resource management scheme should consider the Quality of Service (QoS) while allocating wireless resources. In this work, the downlink wireless resources are allocated to users such that the average network packet delay is minimized. Users that are both capable and not capable of multi-homing are considered and a separate optimization problem is formulated for each case. These problems are then solved using a global Branch and Bound-based solver and a genetic algorithm-based Metaheuristic is also proposed. The algorithms are then evaluated with simulations and the results show that the average network packet delay is significantly lowered and each user's strict QoS requirements are satisfied even in a network with heavy traffic flow.

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Section: A Related Workmentioning

confidence: 99%