An analytical approach to coexisting evaluation in multi-RAT heterogeneous networks with opportunistic CSMA/CA

This paper proposes an analytical approach to modeling and analyzing the coexisting transmission performance in a multi-tier heterogeneous network with multiple radio access technologies (Multi-RATs). The coexistence issue is a special phenomenon uniquely existing in a multi-RAT network and it is rarely studied in prior works on heterogeneous wireless network. To simply characterize the coexisting transmission impacts in a multi-RAT network, in this paper we consider a three-tier heterogeneous network using the RATs of L and U, where RAT-L is adopted by the access points (APs) in the first two tiers, APs in the third tier only use RAT-U and the APs in the second tier can opportunistically use RAT-U. The opportunistic CSMA/CA protocol is used by the APs contending the RAT-U channel and the channel access probabilities for the RAT-U AP in two different tiers are derived under the proposed user association scheme with random weights. The coexisting coverages of RAT-L and RAT-U are defined and found, respectively. Numerical results show that the proposed modeling and analyzing approach can be well applied to evaluate the coexistence transmission performance while LTE and WiFi APs both access the unlicensed band.

[1]  Chun-Hung Liu,et al.  Random cell association and void probability in poisson-distributed cellular networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[2]  François Baccelli,et al.  Stochastic geometry and wireless networks , 2009 .

[3]  Ramjee Prasad,et al.  Adaptive frequency rolling for coexistence in the unlicensed band , 2007, IEEE Transactions on Wireless Communications.

[4]  Jeffrey G. Andrews,et al.  Downlink Coordinated Multi-Point with Overhead Modeling in Heterogeneous Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[5]  Chun-Hung Liu,et al.  Coexisting Success Probability and Throughput of Multi-RAT Wireless Networks With Unlicensed Band Access , 2016, IEEE Wireless Communications Letters.

[6]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[7]  Abhay Parekh,et al.  Spectrum sharing for unlicensed bands , 2005, IEEE Journal on Selected Areas in Communications.

[8]  Geng Wu,et al.  LTE in the unlicensed spectrum: A novel coexistence analysis with WLAN systems , 2014, 2014 IEEE Global Communications Conference.

[9]  Chun-Hung Liu Adaptive downlink CoMP in heterogeneous cellular networks with imperfect overhead messaging , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[10]  Youxi Tang,et al.  Novel Linearization Architecture with Limited ADC Dynamic Range for Green Power Amplifiers , 2016, IEEE Journal on Selected Areas in Communications.

[11]  Jeffrey G. Andrews,et al.  Heterogeneous Cellular Networks with Flexible Cell Association: A Comprehensive Downlink SINR Analysis , 2011, IEEE Transactions on Wireless Communications.

[12]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[13]  Chun-Hung Liu,et al.  Optimal Cell Load and Throughput in Green Small Cell Networks With Generalized Cell Association , 2015, IEEE Journal on Selected Areas in Communications.

[14]  Khairi Ashour Hamdi,et al.  A unified model for interference analysis in unlicensed frequency bands , 2009, IEEE Transactions on Wireless Communications.

[15]  M. Haenggi,et al.  Interference in Large Wireless Networks , 2009, Found. Trends Netw..

[16]  Jeffrey G. Andrews,et al.  Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks , 2011, IEEE Journal on Selected Areas in Communications.

[17]  François Baccelli,et al.  Stochastic Geometry and Wireless Networks, Volume 1: Theory , 2009, Found. Trends Netw..

[18]  Chun-Hung Liu,et al.  On the Optimality of Green Cell Load and Throughput in Small Cell Networks with Weighted Channel-Aware Cell Association , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).