Infrastructure Mobility: A What-if Analysis

Mobile computing has traditionally implied mobile clients connected to a static infrastructure. This paper breaks away from this point of view and envisions the possibility of injecting mobility into infrastructure. We envision a WiFi access point on wheels, that moves to optimize desired performance metrics. Movements need not necessarily be all around the floor of a home or office, neither do they have to operate on batteries, or connect wirelessly to the Internet. At homes, they could remain tethered to power and Ethernet outlets while moving in small areas (perhaps under the study table). In offices of the future, perhaps APs could move on tracks installed on top of false ceilings. This paper explores the viability of this vision and presents early measurements from various home/office environments. We find that complex multipath characteristics of indoor environments cause large fluctuations in link quality even when the antenna moves in the scale of few centimeters. Mobile APs can leverage this spatial variation by relocating to a location that is strong for its own clients and yet weak from its interferers. Experiment results show that such micro-mobility itself can offer up to 2x throughput gains. Additional opportunities may emerge, such as in energy savings, security, QoS, and even in applications such as indoor localization. While this paper explores a small fraction of the landscape of opportunities, the results have been far more promising than what we had anticipated originally.

[1]  Giuseppe Caire,et al.  Achieving high data rates in a distributed MIMO system , 2012, Mobicom '12.

[2]  Alec Wolman,et al.  Designing High Performance Enterprise Wi-Fi Networks , 2008, NSDI.

[3]  Insup Lee,et al.  Cyber-physical systems: The next computing revolution , 2010, Design Automation Conference.

[4]  Arun Venkataramani,et al.  Interactive wifi connectivity for moving vehicles , 2008, SIGCOMM '08.

[5]  Alejandro Ribeiro,et al.  Network Integrity in Mobile Robotic Networks , 2013, IEEE Transactions on Automatic Control.

[6]  Tom Minka,et al.  You are facing the Mona Lisa: spot localization using PHY layer information , 2012, MobiSys '12.

[7]  Hari Balakrishnan,et al.  Divert: fine-grained path selection for wireless LANs , 2004, MobiSys '04.

[8]  Athina P. Petropulu,et al.  Controlling groups of mobile beamformers , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[9]  Swarun Kumar,et al.  Interference alignment by motion , 2013, MobiCom.

[10]  Ying Huang,et al.  Requirements and System Architecture Design Consideration for First Responder Systems , 2007, 2007 IEEE Conference on Technologies for Homeland Security.

[11]  Arun Venkataramani,et al.  MobilityFirst: a robust and trustworthy mobility-centric architecture for the future internet , 2012, MOCO.

[12]  Philip Levis,et al.  Practical, real-time, full duplex wireless , 2011, MobiCom.

[13]  Soujanya Katikala,et al.  GOOGLE™ PROJECT LOON , 2014 .

[14]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).