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            <title xml:lang="en">Self-Organizing Flying Drones with Massive MIMO Networking</title>
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            <idno type="halRefHtml">&lt;i&gt;17th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net 2018)&lt;/i&gt;, Jun 2018, Capri Island, Italy. pp.15-22</idno>
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                <title xml:lang="en">Self-Organizing Flying Drones with Massive MIMO Networking</title>
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                <editor>Luigi Paura</editor>
                <editor>Sergio Palazzo</editor>
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              <p>This article studies distributed algorithms to control self-organizing swarm drone hotspots with massive MIMOnetworking capabilities - a network scenario referred to asOrgSwarm. We attempt to answer the following fundamentalquestion: what is the optimal way to provide spectrally-efficientwireless access to a multitude of ground nodes with mobile basestations/aerial relays mounted on a swarm of drones and endowedwith a large number of antennas; when we can control the positionof many-antenna-enabled drones, access association of groundnodes to drones, and the transmit power of ground nodes?The article first derives a mathematical formulation of theproblem of spectral efficiency maximization through joint controlof the movement of many-antenna-enabled aerial drones, accessassociation of single-antenna ground nodes to many-antennadrones, and transmit power of ground nodes. It is shown that theresulting network control problem is a mixed integer nonlinearnonconvex programming problem (MINLP). We then first designa distributed solution algorithm with polynomial computationalcomplexity. Then, a centralized but globally optimal solutionalgorithm is designed based on a combination of the branchand bound framework and convex relaxation techniques toprovide a performance benchmark for the distributed algorithm.Results indicate that the distributed algorithm achieves a networkspectral efficiency very close (over 95% on average) to the globaloptimum.</p>
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