An Energy-Quality Utility-Based Adaptive Scheduling Solution for Mobile Users in Dense Networks

Scopelliti, Pasquale; Tropeano, Angelo; Muntean, Gabriel‐Miro; Araniti, Giuseppe

doi:10.1109/tbc.2019.2906767

Cited by 8 publications

(2 citation statements)

References 20 publications

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“…This includes high quality 5G media services such as augmented reality (AR), virtual reality (VR) and other types of video content. These services require innovative network solutions for their distribution on one hand [2], [3] and increased efficiency for the battery-powered user devices on the other hand [4], [5] in order to maintain a high and smooth viewer experience.…”

Section: Introductionmentioning

confidence: 99%

A Q-Learning Driven Energy-Aware Multipath Transmission Solution for 5G Media Services

Zhong

Xiang

Wang

et al. 2022

IEEE Trans. on Broadcast.

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Section: Introductionmentioning

confidence: 99%

A Q-Learning Driven Energy-Aware Multipath Transmission Solution for 5G Media Services

Zhong

Xiang

Wang

et al. 2022

IEEE Trans. on Broadcast.

Self Cite

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“…To quantify the satisfaction of users, we used a utility function to describe the bandwidth requirements of each BS. In many papers, such as [22][23][24], utility functions were used to describe the degree of satisfaction of receiving a certain amount of traffic [25].…”

Section: Introductionmentioning

confidence: 99%

Utility-Based Wireless Routing Algorithm for Massive MIMO Heterogeneous Networks

Zhao

Kuo

2020

Applied Sciences

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With the development of 5G communication, massive multiple input multiple output (MIMO) technology is getting more and more attention. Massive MIMO uses a large amount of simultaneous transmitting and receiving antennas to reduce power consumption and raise the level of transmission quality. Meanwhile, the diversification of user equipment (UE) in the 5G environment also makes heterogeneous networks (HetNets) more prevalent. HetNets allow UE of different network standards to access small cells, while the base stations of small cells access a macro base station (BS) to form a multihop wireless heterogeneous backhaul network. However, how to effectively combine these two technologies by efficiently allocating the antennas of each BS during the route construction process of heterogeneous wireless backhaul networks is still an important issue that is yet to be solved. In this paper, we propose an algorithm called preallocated sequential routing (PSR). Based on the links’ channel conditions and the available antennas and location of BSs, it builds a wireless heterogeneous network backhaul topology and adjusts each link’s transmitting and receiving antennas to maximize total utility. Simulation results showed that the proposed algorithm significantly improved the overall utility and the utility of the outer area of heterogeneous networks.

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Utility Function Based Resource Block Scheduling in Wireless Networks

Mahamod

Mohamad

Shayea

et al. 2021

2021 26th IEEE Asia-Pacific Conference on Communications (APCC)

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An Energy-Quality Utility-Based Adaptive Scheduling Solution for Mobile Users in Dense Networks

Cited by 8 publications

References 20 publications

A Q-Learning Driven Energy-Aware Multipath Transmission Solution for 5G Media Services

A Q-Learning Driven Energy-Aware Multipath Transmission Solution for 5G Media Services

Utility-Based Wireless Routing Algorithm for Massive MIMO Heterogeneous Networks

Utility Function Based Resource Block Scheduling in Wireless Networks

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