Dual connectivity in backhaul-limited heterogeneous networks with massive-MIMO: User association and power allocation

Ye Liu; Mahsa Derakhshani; Sangarapillai Lambotharan

doi:10.1109/GLOCOM.2017.8254644

Dual connectivity in backhaul-limited heterogeneous networks with massive-MIMO: User association and power allocation

Ye Liu, Mahsa Derakhshani, Sangarapillai Lambotharan

Loughborough University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

6 Citations (Scopus)

22 Downloads (Pure)

Abstract

With dual connectivity, a mobile user can be served by a macro base station (MBS) and a pico base station (PBS) simultaneously. In this paper, we address the problem of optimizing user-PBS association and power allocation in the uplink such that the network can serve the users' demand at the minimum cost, where the PBSs are subject to backhaul capacity limitations and minimum rate requirements of users. We show that this non-convex problem can be formulated as a signomial geometric programming (SGP) whose solution can be found by solving a series of geometric programming (GP) problems. Simulation results are provided to demonstrate traffic offloading trend to PBSs for different cost and backhaul capacity settings, confirming the effectiveness of the proposed iterative algorithm. They also show that the output of the proposed algorithm closely matches the global optimal solution with affordable complexity.

Original language	English
Title of host publication	2017 IEEE Global Communications Conference
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-5090-5019-2
ISBN (Print)	978-1-5090-5020-8
DOIs	https://doi.org/10.1109/GLOCOM.2017.8254644
Publication status	Published - Jan 2018
Externally published	Yes
Event	IEEE GLOBECOM 2017 - , Singapore Duration: 4 Dec 2017 → 8 Dec 2017 https://globecom2017.ieee-globecom.org/

Conference

Conference	IEEE GLOBECOM 2017
Country/Territory	Singapore
Period	4/12/17 → 8/12/17
Internet address	https://globecom2017.ieee-globecom.org/

Bibliographical note

© 2017 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.

Keywords

Iterative methods
Optimization
Uplink
Antennas
Base stations
Complexity theory
Resource management

Access to Document

10.1109/GLOCOM.2017.8254644

Post-PrintAccepted author manuscript, 581 KBLicence: Unspecified

Cite this

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title = "Dual connectivity in backhaul-limited heterogeneous networks with massive-MIMO: User association and power allocation",

abstract = "With dual connectivity, a mobile user can be served by a macro base station (MBS) and a pico base station (PBS) simultaneously. In this paper, we address the problem of optimizing user-PBS association and power allocation in the uplink such that the network can serve the users' demand at the minimum cost, where the PBSs are subject to backhaul capacity limitations and minimum rate requirements of users. We show that this non-convex problem can be formulated as a signomial geometric programming (SGP) whose solution can be found by solving a series of geometric programming (GP) problems. Simulation results are provided to demonstrate traffic offloading trend to PBSs for different cost and backhaul capacity settings, confirming the effectiveness of the proposed iterative algorithm. They also show that the output of the proposed algorithm closely matches the global optimal solution with affordable complexity.",

keywords = "Iterative methods, Optimization, Uplink, Antennas, Base stations, Complexity theory, Resource management",

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N2 - With dual connectivity, a mobile user can be served by a macro base station (MBS) and a pico base station (PBS) simultaneously. In this paper, we address the problem of optimizing user-PBS association and power allocation in the uplink such that the network can serve the users' demand at the minimum cost, where the PBSs are subject to backhaul capacity limitations and minimum rate requirements of users. We show that this non-convex problem can be formulated as a signomial geometric programming (SGP) whose solution can be found by solving a series of geometric programming (GP) problems. Simulation results are provided to demonstrate traffic offloading trend to PBSs for different cost and backhaul capacity settings, confirming the effectiveness of the proposed iterative algorithm. They also show that the output of the proposed algorithm closely matches the global optimal solution with affordable complexity.

AB - With dual connectivity, a mobile user can be served by a macro base station (MBS) and a pico base station (PBS) simultaneously. In this paper, we address the problem of optimizing user-PBS association and power allocation in the uplink such that the network can serve the users' demand at the minimum cost, where the PBSs are subject to backhaul capacity limitations and minimum rate requirements of users. We show that this non-convex problem can be formulated as a signomial geometric programming (SGP) whose solution can be found by solving a series of geometric programming (GP) problems. Simulation results are provided to demonstrate traffic offloading trend to PBSs for different cost and backhaul capacity settings, confirming the effectiveness of the proposed iterative algorithm. They also show that the output of the proposed algorithm closely matches the global optimal solution with affordable complexity.

KW - Iterative methods

KW - Optimization

KW - Uplink

KW - Antennas

KW - Base stations

KW - Complexity theory

KW - Resource management

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ER -

Dual connectivity in backhaul-limited heterogeneous networks with massive-MIMO: User association and power allocation

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this