* This is the dataset of the accepted paper (March 21, 2017):  R. Rajashekar and L. Hanzo, "User Selection Algorithms for Block Diagonalization Aided Multiuser Downlink mm-Wave Communication"

* Paper Abstract:
In order to meet the ever increasing datarate demands, the next generation of wireless communication systems is being designed for exploiting the large amounts of unused spectrum in the millimeter (mm) wave band. Since operating at mm-wave frequencies imposes several challenges, such as high path loss, as well as both spatial and temporal channel sparsity, there is a significant research interest focused on designing feasible solutions for establishing reliable and high-throughput links at mm-wave frequencies. In this paper, we consider a cellular system relying on hybrid beamforming aided basestation (BS) as well as user equipment and study the user selection problem, which has not been hitherto studied in the literature. More specifically, we study the problem of selecting $K^\prime$ users by the BS for communication out of $K$ users whilst ensuring that the sum rate is maximized. Specifically, we propose a user selection algorithm, which relies on the knowledge of both the channel gains and of the angle-of-departure (AoD) of the channel paths spanning to the various users, which is termed as the AoD aided user selection (AoD-US). Furthermore, we devise a pair of subspace metrics based on a) the angle between the subspaces spanned by the BS array response vectors; b) the ratio of interference and of the signal space dimensions of various users, in order to reduce the user search space in AoD-US. This modified user selection algorithm is termed as the AoD aided user selection with user set pruning (AoD-US-P). Furthermore, we study the attainable sum-rate performance of the block-diagonalization (BD) aided downlink and show that the proposed selection algorithms guarantee both multiuser diversity and multiplexing gains. Additionally, the proposed algorithms are studied in the round-robin (RR) scheduling scenario, where all the $K$ users are scheduled for achieving fairness. Our simulation results revealed that the AoD-US-P achieves nearly the same performance as that achieved by the AoD-US despite having a small user set, while both are observed to outperform the channel power based selection scheme.


* Project:
The financial support of the EPSRC projects EP/Noo4558/1 and EP/L018659/1, as well as of the European Research Council’s Advanced Fellow Grant under the Beam-Me-Up project and of the Royal Society’s Wolfson Research Merit Award is gratefully acknowledged.

* This DOI contains the datasets of Figures 2 to 9 of the aforementioned paper. Each Figure#.fig file corresponds to the same numbered figure in the paper. Each .fig file has all the information required to generate the plot. To regenerate the results, just open the Figure#.fig file in Matlab. Exact values of each of the curves can be read from the property editor.