Spectrum refarming: A new paradigm of spectrum sharing for cellular networks

Spectrum refarming (SR) is a promising radio resource management technique which allows different generations of cellular networks to operate in the same radio spectrum. In this paper, an underlay SR model is proposed for an Orthogonal Frequency Division Multiple Access (OFDMA) system to refarm the spectrum assigned to a Code Division Multiple Access (CDMA) system through intelligently exploiting the interference margin provided by the CDMA system. We investigate the mutual effect of the two systems by evaluating the asymptotic signal-to-interference-plus-noise ratio (SINR) of CDMA users, based on which the interference margin tolerable by CDMA system is determined. With the interference margin together the transmit power constraints, the resource allocation problem of OFDMA system is formulated and solved through dual decomposition method. Simulation results have verified our theoretical analysis and validated the effectiveness of our proposed OFDMA resource allocation solution, as well as its protection to CDMA services.

[1]  Andreas F. Molisch,et al.  Asynchronous interference mitigation in cooperative base station systems , 2008, IEEE Transactions on Wireless Communications.

[2]  Upamanyu Madhow,et al.  Blind adaptive multiuser detection , 1995, IEEE Trans. Inf. Theory.

[3]  Dimitris A. Pados,et al.  Adaptive maximum SINR RAKE filtering for DS-CDMA multipath fading channels , 1998, IEEE J. Sel. Areas Commun..

[4]  Geoffrey Ye Li,et al.  Cognitive radio networking and communications: an overview , 2011, IEEE Transactions on Vehicular Technology.

[5]  Robert M. Gray,et al.  Toeplitz and Circulant Matrices: A Review , 2005, Found. Trends Commun. Inf. Theory.

[6]  Wael Akram Mahmoud Overlap-save receivers for advanced DS-CDMA wireless systems , 2006 .

[7]  Jean C. Walrand,et al.  Economic analysis of 4G network upgrade , 2013, 2013 Proceedings IEEE INFOCOM.

[8]  Halim Yanikomeroglu,et al.  Achievable Capacity in Hybrid DS-CDMA/OFDM Spectrum-Sharing , 2010, IEEE Transactions on Mobile Computing.

[9]  Harish Viswanathan,et al.  Dynamic Spectrum Refarming with Overlay for Legacy Devices , 2013, IEEE Transactions on Wireless Communications.

[10]  Amir Ghasemi,et al.  Fundamental limits of spectrum-sharing in fading environments , 2007, IEEE Transactions on Wireless Communications.

[11]  Dong In Kim,et al.  Optimization of OFDMA-Based Cellular Cognitive Radio Networks , 2010, IEEE Transactions on Communications.

[12]  Vijay K. Bhargava,et al.  Optimal and Suboptimal Power Allocation Schemes for OFDM-based Cognitive Radio Systems , 2008, IEEE Transactions on Wireless Communications.

[13]  Rajeev Agrawal,et al.  Joint scheduling and resource allocation in uplink OFDM systems for broadband wireless access networks , 2009, IEEE Journal on Selected Areas in Communications.

[14]  Ying-Chang Liang,et al.  Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity , 2008, IEEE Transactions on Wireless Communications.

[15]  John M. Cioffi,et al.  Optimal Resource Allocation for OFDMA Downlink Systems , 2006, 2006 IEEE International Symposium on Information Theory.

[16]  Halim Yanikomeroglu,et al.  Interference Management in Underlay Spectrum Sharing Using Indirect Power Control Signalling , 2013, IEEE Transactions on Wireless Communications.

[17]  Gordon L. Stüber,et al.  Interference-Aware Radio Resource Allocation in OFDMA-Based Cognitive Radio Networks , 2011, IEEE Transactions on Vehicular Technology.

[18]  Georgios B. Giannakis,et al.  Chance-Constrained Optimization of OFDMA Cognitive Radio Uplinks , 2013, IEEE Transactions on Wireless Communications.

[19]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[20]  Mérouane Debbah,et al.  Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback , 2009, IEEE Transactions on Information Theory.

[21]  Ying-Chang Liang,et al.  Joint Resource Allocation in OFDMA/CDMA Spectrum Refarming System , 2014, IEEE Wireless Communications Letters.

[22]  Erik G. Larsson,et al.  Resource sharing in wireless networks: The SAPHYRE approach , 2010, 2010 Future Network & Mobile Summit.

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

[24]  Elvino S. Sousa,et al.  Performance Gains of Spectrum Sharing in Multi-Operator LTE-Advanced Systems , 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).

[25]  R. Couillet,et al.  Random Matrix Methods for Wireless Communications , 2011 .

[26]  Venkat Anantharam,et al.  Optimal sequences for CDMA under colored noise: A Schur-saddle function property , 2002, IEEE Trans. Inf. Theory.

[27]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[28]  Laurence B. Milstein,et al.  Performance analysis of MMSE receivers for DS-CDMA in frequency-selective fading channels , 2000, IEEE Trans. Commun..

[29]  David Tse,et al.  Linear Multiuser Receivers: Effective Interference, Effective Bandwidth and User Capacity , 1999, IEEE Trans. Inf. Theory.

[30]  Shlomo Shamai,et al.  Spectral Efficiency of CDMA with Random Spreading , 1999, IEEE Trans. Inf. Theory.

[31]  Tinku Mohamed Rasheed,et al.  On the role of infrastructure sharing for mobile network operators in emerging markets , 2011, Comput. Networks.