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Cell-Free (CF) Massive multiple-input multiple-output(MIMO) is a distributedantenna system, wherein a large number of back-haul linked access pointsrandomly distributed over a coverage area serve simultaneously a smaller numberof users. CF Massive MIMO inherits favorable propagation of Massive MIMOsystems. However, the level of favorable propagation which highly depends onthe network topology and environment may be hindered by user' spatialcorrelation. In this paper, we investigate the impact of the networkconfiguration on the level of favorable propagation for a CF Massive MIMOnetwork. We formulate a user grouping and scheduling optimization problem thatleverages users' spatial diversity. The formulated design optimization problemis proved to be NP-hard in general. To circumvent the prohibitively highcomputational cost, we adopt the semidefinite relaxation method to find asub-optimal solution. The effectiveness of the proposed strategies is thenverified through numerical results which demonstrate a non-negligibleimprovement in the performance of the studied scenario.

Enhancing Favorable Propagation in Cell-Free Massive MIMO Through Spatial User Grouping