Performance Analysis of FFR based Non Orthogonal Spectrum Shared SIMO Systems

Spectrum sharing has been considered as a most promising solution to improve the spectrum efficiency of next-generation wireless networks. In particular, non orthogonal spectrum sharing allows the multiple operators to simultaneously use the available frequency bands, which leads to degradation of signal to interference ratio (SIR) at the intended receivers. To improve the SIR, we have proposed fractional frequency reuse (FFR) based structure for non-orthogonal spectrum shared (NOSS) systems. The coverage probability and average rate expressions are obtained for the proposed FFR based NOSS systems, and it is revealed that the proposed spectrum shared system ensures higher sum rate in comparison to no spectrum shared system, without any significant degradation in coverage probability. In particular, our analysis shows that FFR based NOSS system achieves 33% higher rate as compared to the case of no spectrum shared systems, however only 7% decrement is seen in coverage probability.

[1]  Yi Qian,et al.  Overview of LTE Spectrum Sharing Technologies , 2016, IEEE Access.

[2]  Arumugam Nallanathan,et al.  Enhancing the Capacity of Spectrum Sharing Cognitive Radio Networks , 2011, IEEE Transactions on Vehicular Technology.

[3]  Sudarshan Guruacharya,et al.  Multi-Operator Spectrum Sharing for Small Cell Networks: A Matching Game Perspective , 2016, IEEE Transactions on Wireless Communications.

[4]  Jeffrey G. Andrews,et al.  On the Feasibility of Sharing Spectrum Licenses in mmWave Cellular Systems , 2015, IEEE Transactions on Communications.

[5]  Jeffrey G. Andrews,et al.  Spectrum Sharing for Device-to-Device Communication in Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[6]  Mohamed-Slim Alouini,et al.  Achievable Rate of Spectrum Sharing Cognitive Radio Multiple-Antenna Channels , 2015, IEEE Transactions on Wireless Communications.

[7]  Ying-Chang Liang,et al.  Sensing-Based Spectrum Sharing in Cognitive Radio Networks , 2008, IEEE Transactions on Vehicular Technology.

[8]  Leonardo Badia,et al.  Spectrum sharing improves the network efficiency for cellular operators , 2014, IEEE Communications Magazine.

[9]  Sundeep Rangan,et al.  Hybrid Spectrum Sharing in mmWave Cellular Networks , 2016, IEEE Transactions on Cognitive Communications and Networking.

[10]  Carlo Fischione,et al.  Spectrum Sharing in mmWave Cellular Networks via Cell Association, Coordination, and Beamforming , 2016, IEEE Journal on Selected Areas in Communications.

[11]  Nageen Himayat,et al.  Interference management for 4G cellular standards [WIMAX/LTE UPDATE] , 2010, IEEE Communications Magazine.

[12]  Klaus Moessner,et al.  Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook , 2016, IEEE Communications Surveys & Tutorials.

[13]  Petri Ahokangas,et al.  Spectrum sharing using licensed shared access: the concept and its workflow for LTE-advanced networks , 2014, IEEE Wireless Communications.

[14]  P. Viswanath,et al.  Fundamentals of Wireless Communication: The wireless channel , 2005 .

[15]  Sundeep Rangan,et al.  Resource sharing in 5G mmWave cellular networks , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[16]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.