Elastic Routing in Ad Hoc Networks with Directional Antennas

Throughput scaling laws of an ad hoc network equipping directional antennas at each node are analyzed. More specifically, this paper considers a general framework in which the beam width of each node can scale at an arbitrary rate relative to the number of nodes. We introduce an elastic routing protocol, which enables to increase per-hop distance elastically according to the beam width, while maintaining an average signal-to-interference-and-noise ratio at each receiver as a constant. We then identify fundamental operating regimes characterized according to the beam width scaling and analyze throughput scaling laws for each of the regimes. The elastic routing is shown to achieve a much better throughput scaling law than that of the conventional nearest-neighbor multihop for all operating regimes. The gain comes from the fact that more source–destination pairs can be simultaneously activated as the beam width becomes narrower, which eventually leads to a linear throughput scaling law. In addition, our framework is applied to a hybrid network consisting of both wireless ad hoc nodes and infrastructure nodes. As a result, in the hybrid network, we analyze a further improved throughput scaling law and identify the operating regime where the use of directional antennas is beneficial. In addition, we perform numerical evaluation in both ad hoc and hybrid networks, which completely validates our analytical results.

[1]  Sae-Young Chung,et al.  Parallel Opportunistic Routing in Wireless Networks , 2009, IEEE Transactions on Information Theory.

[2]  Donald F. Towsley,et al.  Capacity of a wireless ad hoc network with infrastructure , 2007, MobiHoc '07.

[3]  Yuguang Fang,et al.  The Capacity of Wireless Ad Hoc Networks Using Directional Antennas , 2011, IEEE Transactions on Mobile Computing.

[4]  Massimo Franceschetti,et al.  On the throughput scaling of wireless relay networks , 2006, IEEE Transactions on Information Theory.

[5]  Shaojie Tang,et al.  Scaling Laws of Cognitive Ad Hoc Networks over General Primary Network Models , 2013, IEEE Transactions on Parallel and Distributed Systems.

[6]  Gustavo de Veciana,et al.  Capacity of ad hoc wireless networks with infrastructure support , 2005, IEEE Journal on Selected Areas in Communications.

[7]  Nitin H. Vaidya,et al.  Capacity of multi-channel wireless networks: impact of number of channels and interfaces , 2005, MobiCom '05.

[8]  Theodore S. Rappaport,et al.  Broadband Millimeter-Wave Propagation Measurements and Models Using Adaptive-Beam Antennas for Outdoor Urban Cellular Communications , 2013, IEEE Transactions on Antennas and Propagation.

[9]  J. Ala-Laurinaho,et al.  MM-wave lens antenna with an integrated LTCC feed array for beam steering , 2010, Proceedings of the Fourth European Conference on Antennas and Propagation.

[10]  Eytan Modiano,et al.  Capacity and delay tradeoffs for ad hoc mobile networks , 2004, IEEE Transactions on Information Theory.

[11]  Donald F. Towsley,et al.  On the capacity of hybrid wireless networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[12]  Robert W. Heath,et al.  Performance Analysis of mmWave Ad Hoc Networks , 2014, ArXiv.

[13]  Massimo Franceschetti,et al.  Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory , 2007, IEEE Transactions on Information Theory.

[14]  Soung Chang Liew,et al.  Capacity Improvement of Wireless Ad Hoc Networks with Directional Antennae , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[15]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[16]  Paolo Giaccone,et al.  Capacity scaling in delay tolerant networks with heterogeneous mobile nodes , 2007, MobiHoc '07.

[17]  Won-Yong Shin,et al.  Elastic routing in wireless networks with directional antennas , 2014, 2014 IEEE International Symposium on Information Theory.

[18]  Robert W. Heath,et al.  Performance Analysis of Outdoor mmWave Ad Hoc Networks , 2014, IEEE Transactions on Signal Processing.

[19]  Panganamala Ramana Kumar,et al.  A network information theory for wireless communication: scaling laws and optimal operation , 2004, IEEE Transactions on Information Theory.

[20]  Ayfer Özgür,et al.  Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks , 2006, IEEE Transactions on Information Theory.

[21]  Abbas El Gamal,et al.  Optimal Hopping in Ad Hoc Wireless Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[22]  Yong Pei,et al.  On the capacity improvement of ad hoc wireless networks using directional antennas , 2003, MobiHoc '03.

[23]  Ram Ramanathan,et al.  Ad hoc networking with directional antennas: a complete system solution , 2004, IEEE Journal on Selected Areas in Communications.

[24]  Urs Niesen,et al.  The Balanced Unicast and Multicast Capacity Regions of Large Wireless Networks , 2008, IEEE Transactions on Information Theory.

[25]  Imre Csiszár,et al.  Information Theory - Coding Theorems for Discrete Memoryless Systems, Second Edition , 2011 .

[26]  Xinbing Wang,et al.  Capacity of Hybrid Wireless Networks with Directional Antenna and Delay Constraint , 2010, IEEE Transactions on Communications.

[27]  Panganamala Ramana Kumar,et al.  RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .

[28]  Nitin H. Vaidya,et al.  Using directional antennas for medium access control in ad hoc networks , 2002, MobiCom '02.

[29]  Yuguang Fang,et al.  The Capacity of Heterogeneous Wireless Networks , 2010, 2010 Proceedings IEEE INFOCOM.

[30]  Panganamala Ramana Kumar,et al.  The transport capacity of wireless networks over fading channels , 2004, IEEE Transactions on Information Theory.

[31]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[32]  Sergio D. Servetto,et al.  On the maximum stable throughput problem in random networks with directional antennas , 2003, MobiHoc '03.

[33]  Sae-Young Chung,et al.  Capacity Scaling of Single-Source Multiantenna Wireless Networks Without CSIT , 2012, IEEE Transactions on Information Theory.

[34]  Won-Yong Shin,et al.  GreenInfra: Capacity of Large-Scale Hybrid Networks With Cost-Effective Infrastructure , 2015, IEEE Journal on Selected Areas in Communications.

[35]  Devavrat Shah,et al.  Optimal throughput-delay scaling in wireless networks - part I: the fluid model , 2006, IEEE Transactions on Information Theory.

[36]  Sae-Young Chung,et al.  Improved Capacity Scaling in Wireless Networks With Infrastructure , 2008, IEEE Transactions on Information Theory.

[37]  P. Gupta,et al.  Towards an information theory of large networks: an achievable rate region , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[38]  Sanjeev R. Kulkarni,et al.  Upper bounds to transport capacity of wireless networks , 2004, IEEE Transactions on Information Theory.

[39]  Urs Niesen,et al.  On Capacity Scaling in Arbitrary Wireless Networks , 2009, IEEE Transactions on Information Theory.

[40]  Leandros Tassiulas,et al.  Throughput capacity of random ad hoc networks with infrastructure support , 2003, MobiCom '03.

[41]  Yoshihisa Kishiyama,et al.  Experimental mm wave 5G cellular system , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[42]  Michael Gastpar,et al.  Capacity scaling of cognitive networks: Beyond interference-limited communication , 2013, 2013 Proceedings IEEE INFOCOM.

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