Outage probability analysis for device-to-device system

Device-to-Device (D2D) communication capability within a cellular network is an integral part of the LTE-Advanced standards since 3GPP release 12. D2D communication is being targeted for traffic loading applications and proximity based services, and has the potential to enhance spectrum efficiency, overall system throughput and energy efficiency, whilst reducing the system communication delay. However, interference is still a key challenge in D2D-based communications. This will require an analytical toolkit that measure and evaluate the impact of interference on system performance, as well suggest guidelines for operators towards proper network planning. In this paper, we investigate outage probability (OP) as a key performance indicator, considering the signal-to-interference-plus-noise ratio (SINR) threshold for a D2D system. In this context, we exploit stochastic geometry, Laplace transforms, and probability density function (pdf) to calculate the outage probability in a tractable manner. The results of the mathematical analysis are verified through computer simulation.

[1]  François Baccelli,et al.  Stochastic Geometry and Wireless Networks, Volume 2: Applications , 2009, Found. Trends Netw..

[2]  Jeffrey G. Andrews,et al.  Power Control for D2D Underlaid Cellular Networks: Modeling, Algorithms, and Analysis , 2013, IEEE Journal on Selected Areas in Communications.

[3]  Mohamed-Slim Alouini,et al.  Closed-form formulas for the outage probability of wireless communication systems with a minimum signal power constraint , 2002, IEEE Trans. Veh. Technol..

[4]  Shixiang Shao,et al.  Transmission Capacity Of D2D Communication Under Cellular Networks , 2013 .

[5]  SHAHID MUMTAZ,et al.  Direct mobile-to-mobile communication: Paradigm for 5G , 2014, IEEE Wireless Communications.

[6]  Angel Lozano,et al.  An Analytical Framework for Device-to-Device Communication in Cellular Networks , 2014, IEEE Transactions on Wireless Communications.

[7]  Muhammad Ali Imran,et al.  Coverage Gain and Device-to-Device User Density: Stochastic Geometry Modeling and Analysis , 2015, IEEE Communications Letters.

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

[9]  R. A. Leese.  A unified approach to the assignment of radio channels on a regular hexagonal grid , 1997 .

[10]  Q. T. Zhang,et al.  Outage probability in cellular mobile radio due to Nakagami signal and interferers with arbitrary parameters , 1996 .

[11]  Guanding Yu,et al.  Joint Power Allocation and Reuse Partner Selection for Device-to-Device Communications , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[12]  Martin Haenggi,et al.  Stochastic Geometry for Wireless Networks , 2012 .

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

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

[15]  Aditya Trivedi,et al.  Analytical outage performance of cognitive small cell network , 2014, 2014 IEEE Online Conference on Green Communications (OnlineGreenComm).