QoS-Aware Balanced and Unbalanced Associations in Massive MIMO Enabled Heterogeneous Cellular Networks.

Saved in:

Bibliographic Details
Title:	QoS-Aware Balanced and Unbalanced Associations in Massive MIMO Enabled Heterogeneous Cellular Networks.
Authors:	Zhou, Tian-Qing¹, Jiang, Nan¹, Qin, Dong², Li, Chunguo³
Source:	Wireless Personal Communications. Dec2017, Vol. 97 Issue 4, p5345-5366. 22p.
Subjects:	MIMO systems, Performance of MIMO systems, Telecommunication systems equipment, Telecommunication systems reliability, Telecommunication systems, Quality of service
Abstract:	As for the massive MIMO (multiple-input and multiple-output) enabled HCNs, we design a QoS-aware association scheme to maximize the sum of achievable rates under long-term rate constraints. Since the various BSs have different transmit power and antennas, this scheme (unbalanced association) may result in an extremely imbalanced load distribution. To fully exploit the network resources, we design another scheme (balanced association) to maximize the network-wide utility that is a logarithmic function of long-term rates. In fact, these schemes can be well implemented in the practical scene since the users can introduce long-term rate constraints to guarantee their QoS requirements. Significantly, it is not the case for the most existing schemes. Considering that these formulated problems are in a nonlinear and mixed-integer form and hard to tackle, we try to develop centralized algorithms using Lagrange multiplier method and distributed algorithms using dual decomposition. Numerical results show that the balanced association significantly outperforms the unbalanced association on the load balancing gain, rate fairness, but the QoS guarantee. In addition, we also show the impacts of the number of massive antennas on the association performance. [ABSTRACT FROM AUTHOR]
	Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

Description
Abstract:	As for the massive MIMO (multiple-input and multiple-output) enabled HCNs, we design a QoS-aware association scheme to maximize the sum of achievable rates under long-term rate constraints. Since the various BSs have different transmit power and antennas, this scheme (unbalanced association) may result in an extremely imbalanced load distribution. To fully exploit the network resources, we design another scheme (balanced association) to maximize the network-wide utility that is a logarithmic function of long-term rates. In fact, these schemes can be well implemented in the practical scene since the users can introduce long-term rate constraints to guarantee their QoS requirements. Significantly, it is not the case for the most existing schemes. Considering that these formulated problems are in a nonlinear and mixed-integer form and hard to tackle, we try to develop centralized algorithms using Lagrange multiplier method and distributed algorithms using dual decomposition. Numerical results show that the balanced association significantly outperforms the unbalanced association on the load balancing gain, rate fairness, but the QoS guarantee. In addition, we also show the impacts of the number of massive antennas on the association performance. [ABSTRACT FROM AUTHOR]
ISSN:	09296212
DOI:	10.1007/s11277-017-4782-2