University of Oulu

T. K. Vu; M. Bennis; S. Samarakoon; M. Debbah; M. Latva-aho, "Joint Load Balancing and Interference Mitigation in 5G Heterogeneous Networks," in IEEE Transactions on Wireless Communications , vol.PP, no.99, pp.1-1 doi: 10.1109/TWC.2017.2718504

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
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: IEEE, 2017
Publish Date: 2017-08-29


We 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 km
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Series: IEEE Transactions on Wireless Communications
ISSN: 1536-1276
ISSN-E: 1536-1276
ISSN-L: 1536-1276
Volume: NN
Issue: NN
Pages: 1 - 15
DOI: 10.1109/TWC.2017.2718504
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
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
Detailed Information: 284704 (Academy of Finland Funding decision)
289611 (Academy of Finland Funding decision)
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