Achievable Data Rate in Spectrum-Sharing Channels with Variable-Rate Variable-Power Primary Users

In this work, we propose a transmission strategy for secondary users (SUs) within a cognitive radio network where primary users (PUs) exploit variable-rate variable-power modulation. By monitoring the PU's transmissions, the SU adjusts its transmit power based on the gap between the PU's received effective signal-to-noise power ratio (SNR) and the lower SNR boundary for the modulation mode that is being used in the primary link. Thus, at the SU's presence, the PU's quality of service (QoS) is guaranteed without increasing its processing complexity thanks to no interference cancellation required in the PU's operation. To demonstrate the advantage of our proposed transmission strategy, we analyze the secondary user's achievable data rate by taking into account different transmission capabilities for the secondary transmitter. The corresponding numerical results not only prove the validity of our derivations but also provide a convenient tool for the network design with the proposed transmission strategy.

[1]  Lajos Hanzo,et al.  Third-generation systems and intelligent wireless networking , 2002 .

[2]  Vahid Asghari,et al.  Resource Management in Spectrum-Sharing Cognitive Radio Broadcast Channels: Adaptive Time and Power Allocation , 2011, IEEE Transactions on Communications.

[3]  A. Goldsmith,et al.  Variable-rate variable-power MQAM for fading channels , 1996, Proceedings of Vehicular Technology Conference - VTC.

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

[5]  Amir Ghasemi,et al.  Capacity of Fading Channels Under Spectrum-Sharing Constraints , 2006, 2006 IEEE International Conference on Communications.

[6]  Guanding Yu,et al.  Cognitive Radio Transmission Strategies Exploiting the Primary-Link Adaptivity , 2011, IEEE Transactions on Vehicular Technology.

[7]  Zhongding Lei,et al.  IEEE 802.22: The first cognitive radio wireless regional area network standard , 2009, IEEE Communications Magazine.

[8]  Sonia Aïssa,et al.  Capacity and power allocation for spectrum-sharing communications in fading channels , 2009, IEEE Transactions on Wireless Communications.

[9]  Behrouz Maham,et al.  Cognitive Multiple Access Network with Outage Margin in the Primary System , 2011, IEEE Transactions on Wireless Communications.

[10]  Leila Musavian,et al.  Fundamental capacity limits of cognitive radio in fading environments with imperfect channel information , 2009, IEEE Transactions on Communications.

[11]  Sonia Aïssa,et al.  Ergodic and Outage Capacities of Spectrum-Sharing Systems in Fading Channels , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.