Novel schemes for interference-resilient OFDM wireless communication

Summary This research work introduces some novel techniques for interference-resilient OFDM wireless communication. Firstly, novel schemes for spatial multiplexing and interference cancelation based on signal subspace estimation are proposed. Secondly, the OFDM system is designed such that it meets three main objectives simultaneously, namely, (i) interference-resiliency, (ii) throughput maximization, and (iii) energy consumption minimization. Interference-cancelation techniques in prior art mostly consider maximization of throughput without any focus on energy consumption. On the other hand, the literature in energy minimization is limited to interference-free environments. Most of the previous techniques also have a drawback that they cannot operate in smart or dynamically changing interference environments. The focus here is on interference-resilient communication with equal attention to both throughput and energy-efficiency maximization in dynamic hostile environments. The optimization problem is formulated, and then optimal policies and switching thresholds are found for throughput and energy-efficient interference-resilient communication. Methodologies for estimating the channel and jammer conditions and then adapting the transmission strategies accordingly are proposed. Moreover, to have an effective defense against smart jamming scenario, a constant-payoff scheme is also introduced. Simulation results are compared with previous techniques that demonstrate the efficacy of proposed research. Copyright © 2015 John Wiley & Sons, Ltd.

[1]  Geoffrey Ye Li,et al.  Energy-efficient link adaptation in frequency-selective channels , 2010, IEEE Transactions on Communications.

[2]  Josko Radic,et al.  Theoretical analysis of iterative signal reconstruction for impulsive noise mitigation in OFDM systems , 2010, Int. J. Commun. Syst..

[3]  Said Esmail El-Khamy,et al.  Performance evaluation of OFDM and single-carrier systems using frequency domain equalization and phase modulation , 2011, Int. J. Commun. Syst..

[4]  Babak Daneshrad,et al.  Energy-Constrained Link Adaptation for MIMO OFDM Wireless Communication Systems , 2010, IEEE Transactions on Wireless Communications.

[5]  Kenji Sugimoto,et al.  Rank-based dynamic frequency hopping without strict coordination in IEEE 802.22 WRAN system , 2012, Int. J. Commun. Syst..

[6]  Heung-Gyoon Ryu,et al.  Analysis of FH multi-user DFT spreading OFDM system for anti-jamming , 2010, 2010 International Conference on Information and Communication Technology Convergence (ICTC).

[7]  Eric Hung,et al.  A Fast Beamforming Algorithm for Large Arrays , 1983, IEEE Transactions on Aerospace and Electronic Systems.

[8]  G. Y. Luo,et al.  On‐line wavelet filtering of narrowband noise in signal detection of spread spectrum system for location tracking , 2012, Int. J. Commun. Syst..

[9]  Ying Yu,et al.  Research on K-L transform based on wavelet transform for anti-chaff-jamming , 2011, Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE).

[10]  Y. Hara Throughput Enhancement for MIMO – OFDM Systems Using Transmission Control and Adaptive Modulation , 2004 .

[11]  Athanasios V. Vasilakos,et al.  QoE and energy efficiency aware resource allocation for OFDM systems in group mobility environments , 2014, Int. J. Commun. Syst..

[12]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[13]  Cong Xiong,et al.  Energy-efficient wireless communications: tutorial, survey, and open issues , 2011, IEEE Wireless Communications.

[14]  Srikanth V. Krishnamurthy,et al.  Exploiting Subcarrier Agility to Alleviate Active Jamming Attacks in Wireless Networks , 2015, IEEE Transactions on Mobile Computing.

[15]  Werner Krattenthaler,et al.  Time-Frequency Design and Processing of Signals Via Smoothed Wigner Distributions , 1993, IEEE Trans. Signal Process..

[16]  K. S. Vishvaksenan,et al.  Performance analysis of turbo-coded MIMO-OFDM system for underwater communication , 2015, Comput. Electr. Eng..

[17]  Alan R. Lindsey,et al.  Anti-jamming GPS receivers based on bilinear signal distributions , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).

[18]  Yacine Challal,et al.  Energy efficiency in wireless sensor networks: A top-down survey , 2014, Comput. Networks.

[19]  Dan Rubenstein,et al.  Using Channel Hopping to Increase 802.11 Resilience to Jamming Attacks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[20]  Geoffrey Ye Li,et al.  MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation , 2002, IEEE Trans. Commun..

[21]  Daesik Hong,et al.  OFDM Channel Estimation With Jammed Pilot Detector Under Narrow-Band Jamming , 2008, IEEE Transactions on Vehicular Technology.

[22]  K. J. Ray Liu,et al.  Optimal Defense against Jamming Attacks in Cognitive Radio Networks Using the Markov Decision Process Approach , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[23]  Ming Li,et al.  MIMO-based jamming resilient communication in wireless networks , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[24]  Babak Daneshrad,et al.  Practical energy efficient link adaptation for MIMO-OFDM systems , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[25]  Zhisheng Niu,et al.  Toward dynamic energy-efficient operation of cellular network infrastructure , 2011, IEEE Communications Magazine.

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

[27]  Jason D. Lohn,et al.  An evolved anti-jamming adaptive beamforming network , 2011, Genetic Programming and Evolvable Machines.

[28]  Zhu Han,et al.  Dogfight in Spectrum: Combating Primary User Emulation Attacks in Cognitive Radio Systems—Part II: Unknown Channel Statistics , 2010, IEEE Transactions on Wireless Communications.

[29]  Hongya Ge,et al.  Subspace projection and time-varying AR modeling for anti-jamming DS-CDMA communications , 2005, 14th Annual International Conference on Wireless and Optical Communications, 2005. WOCC 2005.

[30]  Chung G. Kang,et al.  MIMO-OFDM Wireless Communications with MATLAB , 2010 .

[31]  Todor Cooklev,et al.  Air Interface for Fixed Broadband Wireless Access Systems , 2004 .

[32]  Thomas G. Pratt,et al.  Analysis of OFDM/MC-CDMA under imperfect channel estimation and jamming , 2004 .

[33]  Yung-Fang Chen,et al.  Adaptive Antenna Arrays for Interference Cancellation in OFDM Communication Systems With Virtual Carriers , 2007, IEEE Transactions on Vehicular Technology.

[34]  Jie Xu,et al.  Throughput Optimal Policies for Energy Harvesting Wireless Transmitters with Non-Ideal Circuit Power , 2012, IEEE Journal on Selected Areas in Communications.

[35]  Ye Li,et al.  Anti-jamming property of clustered OFDM for dispersive channels , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..

[36]  K. J. Ray Liu,et al.  An anti-jamming stochastic game for cognitive radio networks , 2011, IEEE Journal on Selected Areas in Communications.

[37]  Mohammed Feham,et al.  High Throughput of WiMAX MIMO OFDM Including Adaptive Modulation and Coding , 2010, ArXiv.

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

[39]  Xiaohu You,et al.  Energy and spectral efficiency trade-off for the downlink OFDM-distributed antenna systems , 2014, Int. J. Commun. Syst..

[40]  Krishna Sayana,et al.  Energy-Efficient Wireless Communications with Future Networks and Diverse Devices , 2013, J. Comput. Networks Commun..

[41]  B. Daneshrad,et al.  Energy-aware link adaptation for MIMO-OFDM based wireless communication , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[42]  K. J. Ray Liu,et al.  Optimal power allocation strategy against jamming attacks using the Colonel Blotto game , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[43]  Teruya Fujii,et al.  Iterative MIMO Signal Detection with Inter-Cell Interference Cancellation for Downlink Transmission in Coded OFDM Cellular Systems , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[44]  L. B. Milstein,et al.  Theory of Spread-Spectrum Communications - A Tutorial , 1982, IEEE Transactions on Communications.

[45]  K. V. Rangarao,et al.  Suppression of multiple narrow-band interference using real-time adaptive notch filters , 1997 .

[46]  S.-G. Haggman,et al.  Performance Improvement of IEEE802.16-2004 System in Jamming Environment via Link Adaptation , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[47]  T. Charles Clancy,et al.  Efficient OFDM Denial: Pilot Jamming and Pilot Nulling , 2011, 2011 IEEE International Conference on Communications (ICC).

[48]  Rami G. Melhem,et al.  Modeling of the channel-hopping anti-jamming defense in multi-radio wireless networks , 2008, MobiQuitous.

[49]  Waqar Mahmood,et al.  An energy-efficient anti-jam cognitive system for wireless OFDM communication , 2014, Int. J. Commun. Syst..

[50]  Geoffrey Ye Li,et al.  A survey of energy-efficient wireless communications , 2013, IEEE Communications Surveys & Tutorials.

[51]  Zhu Han,et al.  Dogfight in Spectrum: Jamming and Anti-Jamming in Multichannel Cognitive Radio Systems , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[52]  B.D. Van Veen,et al.  Beamforming: a versatile approach to spatial filtering , 1988, IEEE ASSP Magazine.

[53]  Moeness G. Amin,et al.  Short-time Fourier transform receiver for nonstationary interference excision in direct sequence spread spectrum communications , 2001, IEEE Trans. Signal Process..