Interference alignment by motion

Recent years have witnessed increasing interest in interference alignment which has been demonstrated to deliver gains for wireless networks both analytically and empirically. Typically, interference alignment is achieved by having a MIMO sender precode its transmission to align it at the receiver. In this paper, we show, for the first time, that interference alignment can be achieved via motion, and works even for single-antenna transmitters. Specifically, this alignment can be achieved purely by sliding the receiver's antenna. Interestingly, the amount of antenna displacement is of the order of one inch which makes it practical to incorporate into recent sliding antennas available on the market. We implemented our design on USRPs and demonstrated that it can deliver 1.98× throughput gains over 802.11n in networks with both single-antenna and multi- antenna nodes.

[1]  Thomas L. Marzetta,et al.  Argos: practical many-antenna base stations , 2012, Mobicom '12.

[2]  M. Ani Hsieh,et al.  Towards the deployment of a mobile robot network with end-to-end performance guarantees , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[3]  Amir K. Khandani,et al.  Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis , 2008, IEEE Transactions on Information Theory.

[4]  Ronald C. Arkin,et al.  Line-of-sight constrained exploration for reactive multiagent robotic teams , 2002, 7th International Workshop on Advanced Motion Control. Proceedings (Cat. No.02TH8623).

[5]  Robert W. Heath,et al.  Cooperative Algorithms for MIMO Interference Channels , 2010, IEEE Transactions on Vehicular Technology.

[6]  Candice King,et al.  Fundamentals of wireless communications , 2013, 2013 IEEE Rural Electric Power Conference (REPC).

[7]  T. Rappaport,et al.  A comparison of theoretical and empirical reflection coefficients for typical exterior wall surfaces in a mobile radio environment , 1996 .

[8]  Changho Suh,et al.  Interference Alignment for Cellular Networks , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

[9]  Kate Ching-Ju Lin,et al.  Random access heterogeneous MIMO networks , 2011, SIGCOMM.

[10]  Dina Katabi,et al.  Interference alignment and cancellation , 2009, SIGCOMM '09.

[11]  Sriram Vishwanath,et al.  Enabling real-time interference alignment: promises and challenges , 2012, MobiHoc '12.

[12]  Yasamin Mostofi,et al.  Co-optimization of communication and motion planning of a robotic operation in fading environments , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

[13]  Paramvir Bahl,et al.  Augmenting data center networks with multi-gigabit wireless links , 2011, SIGCOMM.

[14]  Swarun Kumar,et al.  Bringing cross-layer MIMO to today's wireless LANs , 2013, SIGCOMM.

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

[16]  Srinivasan Seshan,et al.  Clearing the RF smog: making 802.11n robust to cross-technology interference , 2011, SIGCOMM.

[17]  Syed Ali Jafar,et al.  Interference Alignment and Spatial Degrees of Freedom for the K User Interference Channel , 2007, 2008 IEEE International Conference on Communications.

[18]  Wei Wang,et al.  SAM: enabling practical spatial multiple access in wireless LAN , 2009, MobiCom '09.

[19]  Amir K. Khandani,et al.  Forming Pseudo-MIMO by Embedding Infinite Rational Dimensions Along a Single Real Line: Removing Barriers in Achieving the DOFs of Single Antenna Systems , 2009, ArXiv.

[20]  Candice King,et al.  Fundamentals of wireless communications , 2013, 2014 67th Annual Conference for Protective Relay Engineers.

[21]  Syed Ali Jafar,et al.  Approaching the Capacity of Wireless Networks through Distributed Interference Alignment , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[22]  D. Katabi,et al.  JMB: scaling wireless capacity with user demands , 2012, CCRV.

[23]  Karl Henrik Johansson,et al.  An experimental study of exploiting multipath fading for robot communications , 2007, Robotics: Science and Systems.

[24]  Swarun Kumar,et al.  JMB: scaling wireless capacity with user demands , 2012, SIGCOMM '12.

[25]  David Wetherall,et al.  Predictable 802.11 packet delivery from wireless channel measurements , 2010, SIGCOMM '10.

[26]  Ming-Syan Chen,et al.  Rate Adaptation for 802.11 Multiuser MIMO Networks , 2012, IEEE Transactions on Mobile Computing.

[27]  David Tse,et al.  Mobility increases the capacity of ad hoc wireless networks , 2002, TNET.