Literature Database Entry

mennerich2017towards


Wolfgang Mennerich, "Towards Capacity Improvement in Cellular Telecommunication Networks with Cooperating Base Stations," PhD Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), December 2017. (Advisor: Adam Wolisz; Referees: Adam Wolisz, Giuseppe Caire, Stephan ten Brink and Volker Jungnickel)


Abstract

Over the last years, a continuously increased demand can be observed regarding the throughput capacity requirements of cellular mobile communication networks. In order to justice to that, network operators can shrink the network’s cells and reuse the complete spectrum available for the network in each of its cells. In parallel, higher modulation and coding schemes can be used to further increase the number of transmitted bits/second/Hertz. However these higher modulation schemes need a relatively high signal to interference and noise ratio (SINR) which is typically limited by co-channel inter-cell interference if each cell uses the same frequency resources. There are different methods to mitigate interference, but it looks promising to use the interference channel for desired signal transmissions to the user equipment (UE). This can be done by cooperation between multiple cells and joint transmission of the desired signal to the UE. For high performance, it is important that the UE is assigned to its network wide strongest cells, in the following referred to as “optimal cells”. A UE which receives its desired data jointly from his optimal cells is said to be “user-centric assigned”. To avoid a capacity loss compared to non cooperative scenarios, multiple UEs have now to be served on the same time-frequency resource exploiting the distributed system of multiple transmit and receive antennas for the so called distributed multi-user multiple-input-multiple-output (distributed MIMO) approach. Since each UE can have its own set of optimal cells, it is in general difficult to find a group of UEs with identical sets of their optimal cells which could serve jointly the group of UEs all being user-centric assigned in that case. In this thesis, several approaches for signal transmission in the down-link with frequency division duplex are investigated to make a user-centric assignment possible for a high percentage of all UEs in the network. For that, “oversized” and overlapping cell clusters are used. The term “oversized” means that more cells as needed for a certain capacity gain are cooperating. This increases the probability that UEs positioned in the geographical center-area of such a cluster find their optimal cells within that cluster. The sets of optimal cells may also differ between the UEs served jointly by the cell-cluster on a single time-frequency resource as long as the optimal cells are all in that cell cluster. The UEs measure and report only the radio channels related to their optimal cells. Channels from the other cells in the cell-cluster are unknown and assumed to be zero at the transmitter side. However the resulting precoding errors can be assumed to be limited because only the relatively weaker channels where not measured and reported. UEs localized between two cell clusters have in general their sets of optimal cells distributed between these two cell clusters. To provide a user-centric assignment also for those UEs, a third -overlapping- cell-cluster is assumed, consisting of the cells in the edge area of the first two cell-clusters and operating on another frequency resource. For that, the network’s system-bandwidth is subdivided into several sub-bands which are distributed between the overlapping cell-clusters. Interference between non-overlapping cell-clusters is mitigated with two- dimensional wideband-beamforming applied on two-dimensional antenna arrays at the transmitter side. Furthermore, the transmit-power is reduced in the frequency domain for signal-parts which are radiated into the direction of adjacent cell-clusters. The concepts have been evaluated with a Matlab-software which was developed for this thesis. The results show that for more than 80% of all UEs in the network, significant SINR improvements can be reached whereas it is possible to reduce the channel reporting and measurement overhead of about 60% by using the wideband-beams as virtual antenna elements for distributed MU-MIMO on top of them.

Quick access

BibTeX BibTeX

Contact

Wolfgang Mennerich

BibTeX reference

@phdthesis{mennerich2017towards,
    author = {Mennerich, Wolfgang},
    title = {{Towards Capacity Improvement in Cellular Telecommunication Networks with Cooperating Base Stations}},
    advisor = {Wolisz, Adam},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {12},
    referee = {Wolisz, Adam and Caire, Giuseppe and ten Brink, Stephan and Jungnickel, Volker},
    school = {TU Berlin (TUB)},
    type = {PhD Thesis},
    year = {2017},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.

Last modified: 2024-04-27