Coordinated Radio Resource Management (CoRRM) for LTE-Advanced

Visiting researcher: Dr. Hui Song (University of Sheffield)
Host researcher: Prof. Dongfeng Yuan (SDU) & Dr. Mugen Peng (BUPT)
Duration: 3 months
Status: Ongoing
 

Biography of the visiting researcher

Hui Song received his PhD in Wireless Telecommunications from University of Bedfordshire, UK, in March 2010. He is currently a Research Fellow. From 2004 to 2006, he worked for Bynear Telesoft as an R&D Engineer on network planning and optimization techniques (including GSM, WCDMA and TD-SCDMA) in Shanghai, China. Since 2006, he has been a Marie Curie research associate at the Center for Wireless Network Design (CWiND), University of Bedfordshire. During his PhD study, he co-authored five IEEE transactions papers, four of which have been published/accepted. He is one of the contributing authors (on Femtocell Simulation and Mobility Management chapters) of the first technical book on femtocells – “Femtocells: Technologies and Deployment” (Wiley, Jan. 2010). His research interests include 3G/4G radio network simulation, planning, optimization, radio propagation modeling, mobility management in femto/macrocell networks, CoMP, SON, and link adaptation and channel modeling for MIMO-OFDMA systems.
 

Background and Motivation

In March 2008, 3GPP (3rd Generation Partnership Project) started to discuss the evolution of LTE (Long-Term Evolution), named LTE-Advanced (LTE-A). LTE-Advanced targets to meet the requirements of the International Telecommunications Union (ITU) for next generation mobile systems - IMT-Advanced. LTE-Advanced needs to provide high data rate services with a higher spectral efficiency over the entire cell area than LTE. In order to achieve this, it is important that the enhanced radio interface is robust to interference and in particular inter-cell interference (ICI) which appears when the same radio resources is re-used in different cells in an uncoordinated way. Naturally, ICI particularly degrades the performance of users located in the cell edge areas, which creates a performance discrepancy between cell edge and inner cell users.
 
One possible means to alleviate this performance discrepancy is to employ Coordinated Multi Point (CoMP) transmission and reception. The structure of CoMP refers to a system where the transmission and/or reception at multiple, geographically separated antenna sites is dynamically coordinated in order to improve system performance. The CoMP framework encompasses all the system designs allowing tight coordination between multiple radio access points for transmission and/or reception.
 
Due to fully exploiting benefits of coordination among scattered BSs (Base Stations), more sophisticated and flexible radio resource management (RRM) techniques and algorithms, named coordinated radio resource management (CoRRM) can be used to further enhance the signal quality and increase the system capacity thus outperform conventional wireless communication systems.
 
However, the practical implementation of CoRRM is very challenging and thus gives rise to many research topics. For example, static vs dynamic CoMP cluster (cooperative BSs) selection algorithms, which are key to improve the efficiency and performance of CoRRM algorithms; centralized vs distributed coordination; coordinated scheduling/beamforming (CS/BF) vs joint processing/transmission(JP/T).
 
Hence, despite of the high theoretical performance gain of implementing CoMP, the practical performance together with the complexity of various CoRRM algorithms for CoMP in LTE-Advanced are yet to be evaluated and optimized. This forms the main motivation of this project.
 

Research Activities

The main objectives of the project are as follows:
  1. To develop novel adaptive cluster selection methods;
  2. To investigate and develop hybrid CoRRM algorithms that combine the advantages of both centralized and distributed algorithms;
  3. To investigate and develop novel CoRRM algorithms for both CS/BF;
  4. To compare and study the developed algorithms in various LTE-Advanced scenarios, i.e., macrocells only, macrocells with femtocells, macrocells with relays, femtocells only.
  5. To assess the system performance, network latency and signaling redundancy for various scenarios.
 

Outcomes

To be updated.
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