Impact of co-channel interference on the performance of VANETs under α-μ fading

Abstract Vehicular Ad hoc Networks (VANETs) are considered to be a novel solution for provisioning of infotainment services and reduction of accidents on the road. However, communication in VANETs is significantly hampered by multipath fading and co-channel interference. In this context, we analytically model VANETs based on the well-known cluster model. The closed form expression for packet error probability is derived in the presence of co-channel interference under α - μ fading. Impact of α and μ on interference is also characterized in detail. We also incorporate the impact of channel estimation errors of main and interfering link to provide more realistic evaluation of packet error probability. We then provide performance evaluation of VANETs under cooperative communication and quantify the improvements in the performance of cluster. We also evaluate the importance of fading parameters α and μ in the presence of interfering signal from nearby cluster. Our findings disclose that an error floor is introduced at high signal-to-noise-ratio (SNR) due to imperfect channel estimation. Additionally, the error probability considerably reduces by applying cooperative scheduling. Extensive simulations are performed in MATLAB to validate our results, which also prove the practicality of our analytical model.

[1]  Fumiaki Maehara,et al.  Theoretical Shannon Capacity Performance of Nonlinearly Amplified Uplink OFDMA Signals in the Presence of Terminal Mobility , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[2]  Muaz A. Niazi,et al.  Road collisions avoidance using vehicular cyber-physical systems: a taxonomy and review , 2016, Complex Adapt. Syst. Model..

[3]  Jamil Y. Khan,et al.  A Cooperative Safety Zone Approach to Enhance the Performance of VANET Applications , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[4]  Mustafa M. Matalgah,et al.  Channel characteristics of the generalized alpha-mu multipath fading model , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[5]  James Gross,et al.  Experimental Characterization and Modeling of RF Jamming Attacks on VANETs , 2015, IEEE Transactions on Vehicular Technology.

[6]  Andrea J. Goldsmith,et al.  Capacity and power allocation for fading MIMO channels with channel estimation error , 2006, IEEE Trans. Inf. Theory.

[7]  Rabie A. Ramadan,et al.  Towards internet of things modeling: a gateway approach , 2016, Complex Adapt. Syst. Model..

[8]  David W. Matolak,et al.  Vehicle–Vehicle Channel Models for the 5-GHz Band , 2008, IEEE Transactions on Intelligent Transportation Systems.

[9]  David W. Matolak,et al.  5-GHz-Band Vehicle-to-Vehicle Channels: Models for Multiple Values of Channel Bandwidth , 2010, IEEE Transactions on Vehicular Technology.

[10]  Wei Ni,et al.  VANET Modeling and Clustering Design Under Practical Traffic, Channel and Mobility Conditions , 2015, IEEE Transactions on Communications.

[11]  M.D. Yacoub,et al.  The $\alpha$-$\mu$ Distribution: A Physical Fading Model for the Stacy Distribution , 2007, IEEE Transactions on Vehicular Technology.

[12]  Sinem Coleri Ergen,et al.  Multihop-Cluster-Based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination , 2016, IEEE Transactions on Vehicular Technology.

[13]  Xuemin Shen,et al.  Asymptotic Throughput Capacity Analysis of VANETs Exploiting Mobility Diversity , 2015, IEEE Transactions on Vehicular Technology.

[14]  Sylvain Piechowiak,et al.  A behavioral multi-agent model for road traffic simulation , 2008, Eng. Appl. Artif. Intell..

[15]  Yanwu Ding,et al.  Mobile-to-Mobile Channel Measurements at 1.85 GHz in Suburban Environments , 2015, IEEE Transactions on Communications.

[16]  Stefan Panic,et al.  Performance analyses of selection combining diversity receiver over α-μ fading channels in the presence of co-channel interference , 2009, IET Commun..

[17]  Robert M. Gray,et al.  Sliding-block joint source/noisy-channel coding theorems , 1976, IEEE Trans. Inf. Theory.

[18]  Reinder J. Bril,et al.  Performance and fairness in VANETs , 2011, 2011 IEEE International Conference on Consumer Electronics (ICCE).

[19]  Floriano De Rango,et al.  A new interference aware on demand routing protocol for vehicular networks , 2011, 2011 International Symposium on Performance Evaluation of Computer & Telecommunication Systems.

[20]  Alexey V. Vinel,et al.  Understanding adjacent channel interference in multi-channel VANETs , 2014, 2014 IEEE Vehicular Networking Conference (VNC).

[21]  Elyes Ben Hamida,et al.  On the Interrelation of Security, QoS, and Safety in Cooperative ITS , 2017, IEEE Transactions on Intelligent Transportation Systems.

[22]  Jamil Y. Khan,et al.  Multimedia Transmission for Emergency Services in VANETs , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[23]  Daniel Benevides da Costa,et al.  A Simple, Accurate Approximation for the Outage Probability of Equal-Gain Receivers with Cochannel Interference in an alpha-mu Fading Scenario , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[24]  Fan Bai,et al.  Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band , 2007, IEEE Journal on Selected Areas in Communications.

[25]  Jung Hun Kim,et al.  Reliable routing protocol for Vehicular Ad Hoc Networks , 2011 .

[26]  Daniela Tarniceriu,et al.  A coefficient test for fourth degree permutation polynomials over integer rings , 2016 .

[27]  E. Manley Modelling Driver Behaviour to Predict Urban Road Traffic Dynamics , 2014 .

[28]  Do Young Kim,et al.  Reducing the decoding complexity of RaptorQ codes for delay sensitive applications using a simplified and scaled-down matrix , 2016 .

[29]  Mustafa M. Matalgah,et al.  Moment generating function of the generalized α - μ distribution with applications , 2009, IEEE Communications Letters.

[30]  Sherif M. Abuelenin,et al.  Effect of minimum headway distance on connectivity of VANETs , 2015 .

[31]  Raad Raad,et al.  An analytical model of network connectivity in Vehicular Ad Hoc Networks using spatial point processes , 2014, Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014.

[32]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[33]  Bo Hu,et al.  Modeling and QoS analysis of IEEE 802.11 broadcast scheme in Vehicular Ad Hoc Networks , 2013, 2013 IEEE International Conference on Communications (ICC).