A stochastic geometry approach to coexistence in heterogeneous wireless networks

With the increasing proliferation of different communication devices sharing the same spectrum, it is critical to understand the impact of interference in heterogeneous wireless networks. In this paper, we put forth a mathematical model for coexistence in networks composed of both narrowband (NB) and ultrawideband (UWB) wireless nodes, based on fundamental tools from stochastic geometry. Our model considers that the interferers are spatially scattered according to a Poisson field, and are operating asynchronously in a wireless environment. We first determine the statistical distribution of the aggregate interference for both cases of NB and UWB emitters. We then provide error probability expressions for two dual configurations: 1) a NB victim link subject to the aggregate UWB interference, and 2) a UWB victim link subject to the aggregate NB interference. The results show that while the impact of a single interferer on a link is often negligible due to restrictions on the transmitted power, the aggregate effect of multiple interferers may cause significant degradation. Therefore, aggregate interference must be considered to ensure coexistence in heterogeneous networks. The proposed analytical framework shows good agreement with physical-level simulations of the system.

[1]  Moe Z. Win Spectral density of random UWB signals , 2002, IEEE Communications Letters.

[2]  Moe Z. Win,et al.  Optimized simple bounds for diversity systems , 2009, IEEE Transactions on Communications.

[3]  Moe Z. Win,et al.  The ultra-wide bandwidth indoor channel: from statistical model to simulations , 2002, IEEE J. Sel. Areas Commun..

[4]  Moe Z. Win,et al.  Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view , 2002, IEEE J. Sel. Areas Commun..

[5]  Norman C. Beaulieu,et al.  Designing Time-Hopping Ultrawide Bandwidth Receivers for Multiuser Interference Environments , 2009, Proceedings of the IEEE.

[6]  Moe Z. Win,et al.  The effect of narrowband interference on wideband wireless communication systems , 2005, IEEE Transactions on Communications.

[7]  Charles M. Grinstead,et al.  Introduction to probability , 1999, Statistics for the Behavioural Sciences.

[8]  Marc Moeneclaey,et al.  Sensitivity of multiple-access techniques to narrow-band interference , 2001, IEEE Trans. Commun..

[9]  Andrea Giorgetti,et al.  Coexistence Between UWB and Narrow-Band Wireless Communication Systems , 2009, Proceedings of the IEEE.

[10]  Moe Z. Win,et al.  Wideband diversity in multipath channels with nonuniform power dispersion profiles , 2006, IEEE Transactions on Wireless Communications.

[11]  Feller William,et al.  An Introduction To Probability Theory And Its Applications , 1950 .

[12]  C. Mallows,et al.  A Method for Simulating Stable Random Variables , 1976 .

[13]  V. Zolotarev One-dimensional stable distributions , 1986 .

[14]  J. Craig A new, simple and exact result for calculating the probability of error for two-dimensional signal constellations , 1991, MILCOM 91 - Conference record.

[15]  Moe Z. Win,et al.  Impulse radio: how it works , 1998, IEEE Communications Letters.

[16]  Moe Z. Win,et al.  Unified Analysis of UWB Transmitted-Reference Schemes in the Presence of Narrowband Interference , 2007, IEEE Transactions on Wireless Communications.

[17]  Moe Z. Win,et al.  Virtual branch analysis of symbol error probability for hybrid selection/maximal-ratio combining in Rayleigh fading , 2001, IEEE Trans. Commun..

[18]  J. Iinatti,et al.  On the performance comparison of different UWB data modulation schemes in AWGN channel in the presence of jamming , 2002, Proceedings RAWCON 2002. 2002 IEEE Radio and Wireless Conference (Cat. No.02EX573).

[19]  Davide Dardari,et al.  Simple and accurate models for error probability evaluation of IEEE802.11 DS-SS physical interface in the presence of Bluetooth interference , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[20]  L. B. Milstein,et al.  The Effect of Multiple-Tone Interfering Signals on a Direct Sequence Spread Spectrum Communication System , 1982, IEEE Trans. Commun..

[21]  Performance of ultra-wideband communications in the presence of interference , 2002, IEEE J. Sel. Areas Commun..

[22]  J. M. Holtzman A simple, accurate method to calculate spread spectrum multiple access error probabilities , 1991, ICC 91 International Conference on Communications Conference Record.

[23]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[24]  Mohamed-Slim Alouini,et al.  Digital Communication over Fading Channels: Simon/Digital Communications 2e , 2004 .

[25]  Andrea Giorgetti,et al.  Influence of fading on the Gaussian approximation for BPSK and QPSK with asynchronous cochannel interference , 2005, IEEE Transactions on Wireless Communications.

[26]  L. Shepp,et al.  Error Performance of Ultrawideband Systems in a Poisson Field of Narrowband Interferers , 2006 .

[27]  Andreas F. Molisch,et al.  Ultrawideband propagation channels-theory, measurement, and modeling , 2005, IEEE Transactions on Vehicular Technology.

[28]  J. Iinatti,et al.  On the UWB system performance studies in AWGN channel with interference in UMTS band , 2002, 2002 IEEE Conference on Ultra Wideband Systems and Technologies (IEEE Cat. No.02EX580).

[29]  Rui-Hua Dou,et al.  Error Probability Bounds and Approximations for DS Spread-Spectrum Communication Systems with Mutiple Tone or Multiple Access Interference , 1984, IEEE Trans. Commun..

[30]  E.S. Sousa,et al.  Performance of a spread spectrum packet radio network link in a Poisson field of interferers , 1992, IEEE Trans. Inf. Theory.

[31]  Moe Z. Win,et al.  Spectral density of random time-hopping spread-spectrum UWB signals with uniform timing jitter , 1999, MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341).

[32]  Jeffrey G. Andrews,et al.  Stochastic geometry and random graphs for the analysis and design of wireless networks , 2009, IEEE Journal on Selected Areas in Communications.

[33]  Gordon L. Stuber,et al.  Principles of mobile communication (2nd ed.) , 2001 .

[34]  D. Applebaum Stable non-Gaussian random processes , 1995, The Mathematical Gazette.

[35]  Moe Z. Win,et al.  Communication in a Poisson Field of Interferers--Part I: Interference Distribution and Error Probability , 2010, IEEE Transactions on Wireless Communications.

[36]  J. M. Holtzmann On using perturbation analysis to do sensitivity analysis: derivatives versus differences , 1992 .

[37]  Dimitrios Hatzinakos,et al.  Analytic alpha-stable noise modeling in a Poisson field of interferers or scatterers , 1998, IEEE Trans. Signal Process..

[38]  K. Knight Stable Non-Gaussian Random Processes Gennady Samorodnitsky and Murad S. Taqqu Chapman and Hall, 1994 , 1997, Econometric Theory.

[39]  Gordon L. Stüber Principles of mobile communication , 1996 .

[40]  Matti Latva-aho,et al.  On the UWB system coexistence with GSM900, UMTS/WCDMA, and GPS , 2002, IEEE J. Sel. Areas Commun..

[41]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[42]  Moe Z. Win,et al.  Analysis of UWB transmitted-reference communication systems in dense multipath channels , 2005, IEEE Journal on Selected Areas in Communications.

[43]  Moe Z. Win,et al.  On the inverse symbol-error probability for diversity reception , 2003, IEEE Trans. Commun..

[44]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1967 .

[45]  Moe Z. Win,et al.  A Mathematical Theory of Network Interference and Its Applications , 2009, Proceedings of the IEEE.

[46]  Moe Z. Win,et al.  On the performance of wide-bandwidth signal acquisition in dense multipath channels , 2005, IEEE Transactions on Vehicular Technology.

[47]  R.J. Fontana An insight into UWB interference from a shot noise perspective , 2002, 2002 IEEE Conference on Ultra Wideband Systems and Technologies (IEEE Cat. No.02EX580).

[48]  M. Win,et al.  Diversity with practical channel estimation , 2005, IEEE Transactions on Wireless Communications.

[49]  Moe Z. Win,et al.  Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications , 2000, IEEE Trans. Commun..

[50]  J.R. Foerster The performance of a direct-sequence spread ultrawideband system in the presence of multipath, narrowband interference, and multiuser interference , 2002, 2002 IEEE Conference on Ultra Wideband Systems and Technologies (IEEE Cat. No.02EX580).

[51]  Brian M. Sadler,et al.  On the coexistence of ultra-wideband and narrowband radio systems , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).

[52]  Moe Z. Win,et al.  Bit error outage for diversity reception in shadowing environment , 2003, IEEE Communications Letters.

[53]  Moe Z. Win,et al.  Multipath Aided Rapid Acquisition: Optimal Search Strategies , 2007, IEEE Transactions on Information Theory.

[54]  Moe Z. Win,et al.  Communication in a Poisson Field of Interferers-Part II: Channel Capacity and Interference Spectrum , 2010, IEEE Transactions on Wireless Communications.

[55]  Moe Z. Win,et al.  Invertible bounds for M-QAM in Rayleigh fading , 2005, IEEE Transactions on Wireless Communications.

[56]  Moe Z. Win,et al.  Slow Adaptive $M$ -QAM With Diversity in Fast Fading and Shadowing , 2007, IEEE Transactions on Communications.