Optimal Beamforming and Scheduling for MIMO-OFDM Uplink Transmissions in Hierarchical Cognitive Radio Systems

Cognitive radio (CR) technology can be been applied in hierarchical cellular systems to allow concurrent transmissions for licensed (primary) and unlicensed (secondary) users to improve spectrum utilization. The major challenge of hierarchical CR systems is to manage the inter-cell interference between the primary and secondary systems. In the paper, we first present an optimal multiple-input multiple- output (MIMO) orthogonal frequency division multiplexing (OFDM) uplink transmission scheme for hierarchical CR systems that can maximize the sum rate of the underlay secondary CR users, and prevent the primary systems from the severe interference of the secondary systems. The main contribution of this work is to propose a methodology to transform the signal to interference plus noise ratio (SINR) maximization problem of the secondary system into a quasi-convex form, thereby obtaining the optimal beamforming solution using a simple bisection method. Furthermore, we proposed a sub-optimal user scheduling algorithm in the secondary system to effectively mitigate the interference to the primary system.

[1]  Andrea J. Goldsmith,et al.  Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective , 2009, Proceedings of the IEEE.

[2]  Ying-Chang Liang,et al.  Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks , 2008, IEEE Journal on Selected Areas in Communications.

[3]  3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (e-utra); Further Advancements for E-utra Physical Layer Aspects (release 9) , 2022 .

[4]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[5]  V. Tarokh,et al.  Cognitive radio networks , 2008, IEEE Signal Processing Magazine.

[6]  Li-Chun Wang,et al.  Toward Optimal Multiuser Antenna Beamforming for Hierarchical Cognitive Radio Systems , 2012, IEEE Transactions on Communications.

[7]  Khaled Ben Letaief,et al.  Joint Beamforming and Scheduling in Cognitive Radio Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[8]  Wei Zhang,et al.  Uplink Scheduling with QoS Provisioning for Cognitive Radio Systems , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[9]  Muhammad Naeem,et al.  Interference-aware joint user selection and quantised power control schemes for uplink cognitive multiple-input multiple-output system , 2011, IET Commun..

[10]  Ying-Chang Liang,et al.  Joint Beamforming and Power Control in the Downlink of Cognitive Radio Networks , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[11]  Alireza Attar,et al.  Limiting harmful interference to the primary users through joint power allocation and beamforming in the uplink of cognitive radio networks , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.