# Evaluating 60 GHz FWA Deployments for Urban and Rural Environments in Belgium
## 6 Conclusions and Future Work  
In this study, we analysed the network performance of FWA networks working on the 60 GHz band in urban and rural scenarios. Results show that a user coverage above 95% is possible if lamp posts are included as a possible node location, in particular, in an urban scenario where a street canyon environment is predominant. Regarding the network infrastructure, the urban scenario requires four times more infrastructure than rural scenarios, but it is highly dependent on the CPE density with an average of 1 EN per CPE. In addition, the supported capacity that could reach up to 4 Gbps, four times the experienced serving capacity per EN.  
Figure 13: Use case comparison of coverage and network utilisation.  
In case of heavy rain, the network requires about 15% more infrastructure for the rural scenario and about 5% in the urban scenario to maintain similar user coverage. In addition, vegetation has a limited impact on coverage, but it increases the required infrastructure by 4% in the rural scenario and 1% in the urban.  
This study demonstrated that FWA in the 60 GHz band is viable if an optimised backhaul network planning is utilised. To achieve this, a good knowledge of the environment is needed to account for all the constraints that a real deployment in the mmWave requires.  
In the future, the location of the CPE in the house remains an open subject of interest for operators since it could determine if a user can buy off-the-shelf equipment and install it indoors or if more specialised equipment is needed to be installed on roofs or terraces. The validation of the most optimal weights for the proposed problem aiming to solve different trends for FWA deployments need to be evaluated in future simulations. In addition, multi-frequency channel use in the mmWave bands is necessary to overcome the 60 GHz bands' downsides and provide 100% user coverage. Other areas of future research include the implementation of intelligent reflecting surfaces (IRS), mesh topology and other network optimisation techniques such as load balancing for multi-PoP networks.  
Conceptualization, G.C., D.P., W.J. and M.D.; methodology, G.C., B.D.B., W.J. and M.D.; software, G.C.; validation, G.C., W.J. and M.D.; formal analysis, G.C., D.P., W.J. and M.D.; investigation, G.C.; resources, G.C.; data curation, G.C.; writing--original draft preparation, G.C.; writing--review and editing, G.C., B.D.B., D.P., W.J. and M.D.; visualization, G.C.; supervision, D.P. and M.D.; project administration, D.P.; funding acquisition, D.P. and L.M. All authors have read and agreed to the published version of the manuscript.  
This work was executed within MM-WAVES, a research project bringing together academic researchers and industry partners. The MM-WAVES project was co-financed by IMEC and received project support from Flanders Innovation & Entrepreneurship. [PERSON] was partly supported by the Colombian School of Engineering--[PERSON]. [PERSON] is a post-doctoral fellow of the FWO-V (Research Foundation--Flanders, ref.: 12Z5621N.  
Not applicable.  
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.