# Radio Network Planning towards 5G mmWave Standalone Small-Cell Architectures  
[PERSON]  
1 Wireless & Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22131 Tripolis, Greece; [EMAIL_ADDRESS] (P.F. ); [EMAIL_ADDRESS] (D.A.Z. ); [EMAIL_ADDRESS] (G.V.T.) [PERSON]  
1 Wireless & Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22131 Tripolis, Greece; [EMAIL_ADDRESS] (P.F. ); [EMAIL_ADDRESS] (D.A.Z. ); [EMAIL_ADDRESS] (G.V.T.) [PERSON]  
1 Wireless & Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22131 Tripolis, Greece; [EMAIL_ADDRESS] (P.F. ); [EMAIL_ADDRESS] (D.A.Z. ); [EMAIL_ADDRESS] (G.V.T.) [PERSON]  
1 Wireless & Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22131 Tripolis, Greece; [EMAIL_ADDRESS] (P.F. ); [EMAIL_ADDRESS] (D.A.Z. ); [EMAIL_ADDRESS] (G.V.T.) [PERSON]  
1 Wireless & Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22131 Tripolis, Greece; [EMAIL_ADDRESS] (P.F. ); [EMAIL_ADDRESS] (D.A.Z. ); [EMAIL_ADDRESS] (G.V.T.) [PERSON]  
1 Wireless & Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22131 Tripolis, Greece; [EMAIL_ADDRESS] (P.F. ); [EMAIL_ADDRESS] (D.A.Z. ); [EMAIL_ADDRESS] (G.V.T.) [PERSON]  
1 Wireless & Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22131 Tripolis, Greece; [EMAIL_ADDRESS] (P.F. ); [EMAIL_ADDRESS] (D.A.Z. ); [EMAIL_ADDRESS] (G.V.T.) [PERSON]  
1 Wireless & Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22131 Tripolis, Greece; [EMAIL_ADDRESS] (P.F. ); [EMAIL_ADDRESS] (D.A.Z. ); [EMAIL_ADDRESS] (G.  
hybrid beamforming are core techniques to achieve the targeted high data rates and the large number of devices [9]. Typically the cell deployment architectures can be classified into standalone and overlay architectures. In the context of 5G, the first refers to a network deployment that consists of mere mmWave small cells, while the latter refers to the deployment of mmWave small cells on top of the existing macro-relay networks in the form of hierarchical or mixed cell structures. In the overlay architecture, the existing (pre5G) macrocell layer is mainly for coverage as well as mobility and signaling problems originating from the mmWave small-cell layer, which exists for capacity boosts. The much wider bandwidth as well as the beamforming/MIMO capabilities, together with the reduced access-link distances, give the mmWave small cells the capability to substantially increase the system capacity. It has to be mentioned here that another advantage of the overlay network architecture is the separation of control and message transmissions. All the control signaling is supported via the existing macrocells and high data rate transmissions go through the mmWave small-cell network. 5G radio planning is now of utmost importance since not only does it require cost-optimized deployments capable of handling a variety of demand constraints, but also since it then affects the optimal placement of the core network elements, e.g., for achieving low latency values. In order to tackle these issues, this article presents a generic analysis that allows for evolutionary radio network planning towards 5G mmWave standalone small-cell architectures. Due to the complex nature of the problem, a multi-objective optimization algorithm is appropriately modified in order to provide solutions in the context of the multiple constraints and specifics of a 5G mmWave network with particular emphasis in the 28 GHz band. The three main constraints of coverage, capacity and cost are studied for a range of cases that reflect scenarios from dense to ultra-dense network deployments in order to achieve high capacity.