Joint load balancing and interference mitigation in 5G heterogeneous networks |
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Author: | Vu, Trung Kien1; Bennis, Mehdi1,2; Samarakoon, Sumudu1; |
Organizations: |
1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland 2Department of Computer Engineering, Kyung Hee University, Yongin 446-701, South Kore 3Large Networks and System Group (LANEAS), CentraleSup ́elec, Universit ́e Paris-Saclay, 91192 Gif-sur-Yvette, Franc
4Mathematical and Algorithmic Sciences Laboratory, Huawei France R&D, 92100 Paris, France
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Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.5 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe201708298246 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2017
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Publish Date: | 2017-08-29 |
Description: |
AbstractWe study the problem of joint load balancing and interference mitigation in heterogeneous networks (Het-Nets) in which massive multiple-input multiple-output (MIMO) macro cell base station (BS) equipped with a large number of antennas, overlaid with wireless self-backhauled small cells (SCs) are assumed. Self-backhauled SC BSs with full-duplex communication employing regular antenna arrays serve both macro users and SC users by using the wireless backhaul from macro BS in the same frequency band. We formulate the joint load balancing and interference mitigation problem as a network utility maximization subject to wireless backhaul constraints. Subsequently, leveraging the framework of stochastic optimization, the problem is decoupled into dynamic scheduling of macro cell users, backhaul provisioning of SCs, and offloading macro cell users to SCs as a function of interference and backhaul links. Via numerical results, we show the performance gains of our proposed framework under the impact of SCs density, number of BS antennas, and transmit power levels at low and high frequency bands. It is shown that our proposed approach achieves a 5.6× gain in terms of cell-edge performance as compared to the closed-access baseline in ultra-dense networks with 350 SC BSs per km². see all
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Series: |
IEEE transactions on wireless communications |
ISSN: | 1536-1276 |
ISSN-E: | 1558-2248 |
ISSN-L: | 1536-1276 |
Volume: | 16 |
Issue: | 9 |
Pages: | 6032 - 6046 |
DOI: | 10.1109/TWC.2017.2718504 |
OADOI: | https://oadoi.org/10.1109/TWC.2017.2718504 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
The authors would like to thank the Finnish Funding Agency for Technology and Innovation (Tekes), Nokia, Huawei, and Anite for project funding. The Academy of Finland funding through the grant 284704 and the Academy of Finland CARMA project are also acknowledged. The research of M. Debbah has been supported by the ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex
Network Engineering). |
Academy of Finland Grant Number: |
284704 289611 |
Detailed Information: |
284704 (Academy of Finland Funding decision) 289611 (Academy of Finland Funding decision) |
Copyright information: |
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