* This is the dataset of the accepted paper (Nov, 2017):  K. Satyanarayana, M. El-Hajjar, Ping-Heng Kuo, Alain
Mourad  and L. Hanzo, "Adaptive Transceiver Design for C-RAN in
mmWave Communications" IEEE, Access

* Paper Abstract:
An adaptive array design is proposed for hybrid beamforming in millimeter wave (mmWave) communications in the context of cloud radio access networks (C-RAN). More explicitly, the adaptive design focuses on the physical layer aspect of C-RAN. The adaptation is performed at two levels, depending on whether the channel is of line-of-sight (LOS) or non-line-of-sight (NLOS) nature. Firstly, the antenna array architecture can be adapted between a fully-connected and a sub-array-connected architecture. Then, the employment of a digital precoder in the baseband is decided based on both the channel conditions
and the architecture employed. We show that the proposed adaptive design performs better than the fully-connected and sub-array-connected constituent designs, when the channel varies between LOS and NLOS scenarios. Then, we extend our proposed adaptive design to mmWave communications in the context of C-RAN, where we propose an adaptive virtual cell formation algorithm, where a user can be connected to one or two remote radio heads (RRHs), depending on the channel conditions. 


* Project:
The fiscal support of InterDigital as well as that of the European Research
Council, Advanced Fellow Grant is gratefully acknowledged.

* This DOI contains the datasets of Figures 6, 7, and 8  of the aforementioned paper. Each folder is named according to its content, where the curves of each figure are stored in text files.  To regenerate the results, please use the Graphics Layout Engine (GLE), using the command "gle Figure.gle"

* The  embedded folders are as follows:
  - Figure-6: Contains the dataset of Figure 6. This figure shows the achievable rate of 64 × 16 MIMO for the two designs with DFT-MUB (ABF-TPC) and DFT-Identity (ABF-Identity) in NLOS channel conditions, when N_t^RF = 4 and N_r^RF = 4.
   
  - Figure-7: Contains the dataset of Figure 7. This figure shows the achievable rate of 64 × 16 MIMO for the two designs with DFT-MUB (ABF-TPC) and DFT-Identity (ABF-Identity)
in LOS channel conditions, when N_t^RF = 4 and N_r^RF = 4.
  
  - Figure-8: Contains the dataset of Figure 6. This figure shows the achievable rate of 64×16 MIMO with adaptive design, where ABF-TPC is applied in NLOS and ABF-Identity is applied in LOS conditions. The channel is random since it varies between LOS and NLOS with probability 0.5.