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Network Optimization of Evolving Mobile Systems with Presence of Interference Coupling
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Computing Science. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.ORCID iD: 0000-0002-4741-0715
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Description
Abstract [en]

The rapid development from 4G to 5G of mobile communications poses significant challenges in providing high rate and capacity, making it more crucial for efficient utilization of time-frequency resource via optimally configuring the network. Mathematical optimization serves as a powerful tool for addressing this type of problems. However, gauging its potential in large-scale cellular networks is non-trivial due to the inherent coupling relation of interference among cells. To address this issue, the dissertation adopts a so-called load-coupling system that mathe-matically formulates the mutual influence caused by radio resource allocation among cells. The model defines the time-frequency resource consumption in each cell as the cell load. The load of one cell governs the interference that the cell generates to the others, since the cell trans-mits more frequently with higher load. The model enables joint optimization of resource al-location in multiple cells with respect to the dynamics of resource occupancy of cells. Under the load coupling model, the dissertation applies mathematical optimization to resolve resource management problems with respect to a number of evolving technologies, such as coordinated multipoint (CoMP) transmission, wireless relays, cloud radio access networks (C-RAN), and non-orthogonal multiple access (NOMA). Six research papers are included in the dissertation. Paper I addresses the question of how network planning and coordination may increase the ef-ficiency of spectrum usage, by jointly optimizing user association and resource allocation with CoMP. Paper II investigates the potential of relay cooperation for energy saving. As an extension of Paper I, Paper III studies the capacity maximization for a target group of users, while keep-ing the quality-of-service (QoS) of other users being strictly met. Paper IV provides a general framework and a series of theoretical analysis for algorithmically enabling resource optimization in multi-cell NOMA with load coupling, where users are allowed to group together for sharing time-frequency resource by successive interference cancellation (SIC). Under this framework, Paper V explores the potential of NOMA networks. For a restricted setup of NOMA, the paper achieves globally optimal resource usage efficiency, in terms of power allocation, user pair se-lection, and time-frequency resource allocation. Finally, Paper VI, serving as a complementary note, overcomes a key obstacle in analyzing convergence of applying load coupling in NOMA networks.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2019. , p. 37
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1843
Keywords [en]
Resource optimization, load coupling, OFDMA, NOMA
National Category
Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:uu:diva-391133ISBN: 978-91-513-0726-8 (print)OAI: oai:DiVA.org:uu-391133DiVA, id: diva2:1343975
Public defence
2019-10-07, ITC 1211, Lägerhyddsvägen 2, Uppsala, 13:15 (English)
Opponent
Supervisors
Available from: 2019-09-10 Created: 2019-08-19 Last updated: 2019-09-10
List of papers
1. Load Optimization With User Association in Cooperative and Load-Coupled LTE Networks
Open this publication in new window or tab >>Load Optimization With User Association in Cooperative and Load-Coupled LTE Networks
2017 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 16, no 5, p. 3218-3231Article in journal (Refereed) Published
Keywords
cooperative communication;integer programming;interference;linear programming;Long Term Evolution;load optimization;user association;cooperative load-coupled LTE networks;cellular networks;inter-cell interference;optimization problems;sum load minimization;maximum load minimization;MinSumL;MinMaxL;mixed integer linear programming based scheme;partial optimality conditions;Interference;Couplings;Load modeling;Resource management;Mathematical model;Optimization;Minimization;Joint transmission;load balancing;load-coupling;heterogeneous networks;resource efficiency
National Category
Telecommunications
Identifiers
urn:nbn:se:uu:diva-391126 (URN)10.1109/TWC.2017.2676762 (DOI)
Available from: 2019-08-19 Created: 2019-08-19 Last updated: 2019-08-19
2. Energy-Aware Wireless Relay Selection in Load-Coupled OFDMA Cellular Networks
Open this publication in new window or tab >>Energy-Aware Wireless Relay Selection in Load-Coupled OFDMA Cellular Networks
2017 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 21, no 1, p. 144-147Article in journal (Refereed) Published
Abstract [en]

We investigate transmission energy minimization via optimizing wireless relay selection in orthogonal-frequency-division multiple access networks. We take into account the impact of the load of cells on transmission energy. We prove the NP-hardness of the energy-aware wireless relay selection problem. To tackle computational complexity, a partial optimality condition is derived for providing insights in respect of designing an effective and efficient algorithm. Numerical results show the resulting algorithm achieves high energy performance.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Keywords
Heterogeneous network, wireless relay, OFDMA, energy efficiency
National Category
Telecommunications
Identifiers
urn:nbn:se:uu:diva-319321 (URN)10.1109/LCOMM.2016.2615604 (DOI)000393788000036 ()
Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2019-08-19Bibliographically approved
3. User-centric Performance Optimization with Remote Radio Head Cooperation in C-RAN
Open this publication in new window or tab >>User-centric Performance Optimization with Remote Radio Head Cooperation in C-RAN
2017 (English)Manuscript (preprint) (Other academic)
National Category
Telecommunications
Identifiers
urn:nbn:se:uu:diva-391127 (URN)
Available from: 2019-08-19 Created: 2019-08-19 Last updated: 2019-08-30
4. A Framework for Optimizing Multi-cell NOMA: Delivering Demand with Less Resource
Open this publication in new window or tab >>A Framework for Optimizing Multi-cell NOMA: Delivering Demand with Less Resource
Show others...
2017 (English)In: GLOBECOM 2017 - 2017 IEEE Global Communications Conference, IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Non-orthogonal multiple access (NOMA) allows multiple users to simultaneously access the same time-frequency resource by using superposition coding and successive interference cancellation (SIC). Thus far, most papers on NOMA have focused on performance gain for one or sometimes two base stations. In this paper, we study multi-cell NOMA and provide a general framework for user clustering and power allocation, taking into account inter-cell interference, for optimizing resource allocation of NOMA in multi-cell networks of arbitrary topology. We provide a series of theoretical analysis, to algorithmically enable optimization approaches. The resulting algorithmic notion is very general. Namely, we prove that for any performance metric that monotonically increases in the cells' resource consumption, we have convergence guarantee for global optimum. We apply the framework with its algorithmic concept to a multi-cell scenario to demonstrate the gain of NOMA in achieving significantly higher efficiency.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE Global Communications Conference, ISSN 2334-0983
National Category
Computer Sciences
Identifiers
urn:nbn:se:uu:diva-357087 (URN)10.1109/GLOCOM.2017.8254922 (DOI)000428054305033 ()978-1-5090-5019-2 (ISBN)
Conference
IEEE Global Communications Conference (GLOBECOM), DEC 04-08, 2017, YourSingapore, Singapore, SINGAPORE
Available from: 2018-08-10 Created: 2018-08-10 Last updated: 2019-08-19Bibliographically approved
5. Resource optimization with load coupling in multi-cell NOMA
Open this publication in new window or tab >>Resource optimization with load coupling in multi-cell NOMA
Show others...
2018 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 17, no 7, p. 4735-4749Article in journal (Refereed) Published
National Category
Communication Systems
Identifiers
urn:nbn:se:uu:diva-361538 (URN)10.1109/TWC.2018.2830386 (DOI)000438727700036 ()
Available from: 2018-05-03 Created: 2018-10-01 Last updated: 2019-08-19Bibliographically approved
6. A Note on Decoding Order in Optimizing Multi-cell NOMA
Open this publication in new window or tab >>A Note on Decoding Order in Optimizing Multi-cell NOMA
(English)Manuscript (preprint) (Other academic)
National Category
Telecommunications
Identifiers
urn:nbn:se:uu:diva-391128 (URN)
Available from: 2019-08-19 Created: 2019-08-19 Last updated: 2019-08-30

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