Expanding Rural Cellular Networks with Virtual Coverage

The cellular system is the world's largest network, providing service to over five billion people. Operators of these networks face fundamental trade-offs in coverage, capacity and operating power. These trade-offs, when coupled with the reality of infrastructure in poorer areas, mean that upwards of a billion people lack access to this fundamental service. Limited power infrastructure, in particular, hampers the economic viability of wide-area rural coverage. In this work, we present an alternative system for implementing large-scale rural cellular networks. Rather than providing constant coverage, we instead provide virtual coverage: coverage that is only present when requested. Virtual coverage powers the network on-demand, which reduces overall power draw, lowers the cost of rural connectivity, and enables new markets. We built a prototype cellular system utilizing virtual coverage by modifying a GSM base station and a set of Motorola phones to support making and receiving calls under virtual coverage. To support the billions of already-deployed devices, we also implemented a small radio capable of adding backwards-compatible support for virtual coverage to existing GSM handsets. We demonstrate a maximum of 84% power and cost savings from using virtual coverage. We also evaluated virtual coverage by simulating the potential power savings on real-world cellular networks in two representative developing counties: one in sub-Saharan Africa and one in South Asia. Simulating power use based on realworld call records obtained from local mobile operators, we find our system saves 21-34% of power draw at night, and 7-21% during the day. We expect even more savings in areas currently off the grid. These results demonstrate the feasibility of implementing such a system, particularly in areas with solar or otherwise-intermittent power sources.

[1]  Tapan S. Parikh,et al.  Message Phone : A User Study and Analysis of Asynchronous Messaging in Rural Uganda , 2009 .

[2]  Kameswari Chebrolu,et al.  Wake-on-WLAN , 2006, WWW '06.

[3]  Nathan Eagle,et al.  Community Computing: Comparisons between Rural and Urban Societies Using Mobile Phone Data , 2009, 2009 International Conference on Computational Science and Engineering.

[4]  Eric A. Brewer,et al.  Deploying a Rural Wireless Telemedicine System: Experiences in Sustainability , 2008, Computer.

[5]  Junda Liu,et al.  Skilled in the Art of Being Idle: Reducing Energy Waste in Networked Systems , 2009, NSDI.

[6]  Kurtis Heimerl,et al.  How Users Understand Cellular Infrastructure , 2012 .

[7]  Paramvir Bahl,et al.  Wake on wireless: an event driven energy saving strategy for battery operated devices , 2002, MobiCom '02.

[8]  Luiz André Barroso,et al.  The Case for Energy-Proportional Computing , 2007, Computer.

[9]  Eric A. Brewer,et al.  The village base station , 2010, NSDR '10.

[10]  Lakshminarayanan Subramanian,et al.  WiLDNet: Design and Implementation of High Performance WiFi Based Long Distance Networks , 2007, NSDI.

[11]  Markus Jakobsson,et al.  A Micro-Payment Scheme Encouraging Collaboration in Multi-hop Cellular Networks , 2003, Financial Cryptography.

[12]  Sourjya Bhaumik,et al.  Breathe to stay cool: adjusting cell sizes to reduce energy consumption , 2010, Green Networking '10.

[13]  Eric A. Brewer,et al.  The case for technology in developing regions , 2005, Computer.

[14]  Sameh Gobriel,et al.  Long Idle: Making Idle Networks Quiet for Platform Energy-Efficiency , 2010, 2010 Fifth International Conference on Systems and Networks Communications.

[15]  Rong Zheng,et al.  Asynchronous wakeup for ad hoc networks , 2003, MobiHoc '03.

[16]  Ying-Dar Lin,et al.  Multihop cellular: a new architecture for wireless communications , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[17]  G. Amdhal,et al.  Validity of the single processor approach to achieving large scale computing capabilities , 1967, AFIPS '67 (Spring).

[18]  John A. Stankovic,et al.  Radio-Triggered Wake-Up for Wireless Sensor Networks , 2005, Real-Time Systems.

[19]  NetComm Limited,et al.  ITU(International Telecommunications Union) , 2010 .

[20]  Lakshminarayanan Subramanian,et al.  Rethinking Wireless in the Developing World , 2006, HotNets.

[21]  Haiyun Luo,et al.  Traffic-driven power saving in operational 3G cellular networks , 2011, MobiCom.

[22]  Cem Ersoy,et al.  Wake-up receivers for wireless sensor networks: benefits and challenges , 2009, IEEE Wireless Communications.

[23]  Koen Langendoen,et al.  A prototype low-cost wakeup radio for the 868 MHz band , 2009, Int. J. Sens. Networks.