QoS-aware cell association in 5G heterogeneous networks with massive MIMO

5G cellular networks aim to improve the connection speed to ensure ultra-low latency (e.g., to support real-time video streaming service) through heterogeneous environments. HetNets composed of different types of cells (e.g., macrocells and small cells) are the major direction of 5G network design....

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Main Authors: Wang, Ping, Song, Wei, Niyato, Dusit, Xiao, Yong
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/89510
http://hdl.handle.net/10220/44932
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-895102020-03-07T11:49:00Z QoS-aware cell association in 5G heterogeneous networks with massive MIMO Wang, Ping Song, Wei Niyato, Dusit Xiao, Yong School of Computer Science and Engineering Multiple-input Multiple-output (MIMO) 5G Cellular Networks 5G cellular networks aim to improve the connection speed to ensure ultra-low latency (e.g., to support real-time video streaming service) through heterogeneous environments. HetNets composed of different types of cells (e.g., macrocells and small cells) are the major direction of 5G network design. In this article, we first introduce the key features and highlight resource management issues in 5G HetNets. We then focus on the cell association problem of multiple classes of users in HetNets. Users in different classes have different data rate requirements and will choose to associate with the cell(s) (e.g., a macrocell or small cells) that yield(s) the highest data rate. Therefore, the cells also have to allocate resources in terms of antennas to different classes of users to maximize their total revenue. We introduce cell association and antenna allocation algorithms based on the evolutionary game theory. The algorithms can achieve equilibrium solutions, ensuring that the users and the cells cannot gain higher data rate and total revenue, respectively, by changing their cell association and antenna allocation. MOE (Min. of Education, S’pore) Accepted version 2018-06-01T06:48:43Z 2019-12-06T17:27:19Z 2018-06-01T06:48:43Z 2019-12-06T17:27:19Z 2015 Journal Article Wang, P., Song, W., Niyato, D., & Xiao, Y. (2015). QoS-aware cell association in 5G heterogeneous networks with massive MIMO. IEEE Network, 29(6), 76-82. 0890-8044 https://hdl.handle.net/10356/89510 http://hdl.handle.net/10220/44932 10.1109/MNET.2015.7340428 en IEEE Network © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/MNET.2015.7340428]. 22 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Multiple-input Multiple-output (MIMO)
5G Cellular Networks
spellingShingle Multiple-input Multiple-output (MIMO)
5G Cellular Networks
Wang, Ping
Song, Wei
Niyato, Dusit
Xiao, Yong
QoS-aware cell association in 5G heterogeneous networks with massive MIMO
description 5G cellular networks aim to improve the connection speed to ensure ultra-low latency (e.g., to support real-time video streaming service) through heterogeneous environments. HetNets composed of different types of cells (e.g., macrocells and small cells) are the major direction of 5G network design. In this article, we first introduce the key features and highlight resource management issues in 5G HetNets. We then focus on the cell association problem of multiple classes of users in HetNets. Users in different classes have different data rate requirements and will choose to associate with the cell(s) (e.g., a macrocell or small cells) that yield(s) the highest data rate. Therefore, the cells also have to allocate resources in terms of antennas to different classes of users to maximize their total revenue. We introduce cell association and antenna allocation algorithms based on the evolutionary game theory. The algorithms can achieve equilibrium solutions, ensuring that the users and the cells cannot gain higher data rate and total revenue, respectively, by changing their cell association and antenna allocation.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Wang, Ping
Song, Wei
Niyato, Dusit
Xiao, Yong
format Article
author Wang, Ping
Song, Wei
Niyato, Dusit
Xiao, Yong
author_sort Wang, Ping
title QoS-aware cell association in 5G heterogeneous networks with massive MIMO
title_short QoS-aware cell association in 5G heterogeneous networks with massive MIMO
title_full QoS-aware cell association in 5G heterogeneous networks with massive MIMO
title_fullStr QoS-aware cell association in 5G heterogeneous networks with massive MIMO
title_full_unstemmed QoS-aware cell association in 5G heterogeneous networks with massive MIMO
title_sort qos-aware cell association in 5g heterogeneous networks with massive mimo
publishDate 2018
url https://hdl.handle.net/10356/89510
http://hdl.handle.net/10220/44932
_version_ 1681044326491095040