Achievable Capacity of Closed/Open-Access Cognitive Radio Systems Coexisting with a Macro Cellular Systems

We provide a theoretical analysis of the capacity achievable by an open/closed-access cognitive radio system, where the system uses spectrum resources primarily allocated to a macro cellular system. For spectrum sharing, we consider two methods based on listen-before-talk and adaptive transmit power control principles. Moreover, outdoor and indoor installations of CRS stations are investigated. We have also taken the effect of antenna heights into consideration. Numerical results reveal the capacities possible from CRS base stations installed within the coverage area of the macro cell system. We show numerical examples that compare the capacities achievable by open-access and closed access cognitive radio systems.

[1]  E. K. Park,et al.  Throughput analysis for a contention-based dynamic spectrum sharing model , 2010, IEEE Transactions on Wireless Communications.

[2]  Hiroyuki Kawai,et al.  MLD Based MIMO-OFDM Demodulation and Decoding LSI with Low Power Consumption for Release 8 LTE , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[3]  Zhi Tian,et al.  Spatial Capacity of Cognitive Radio Networks: Narrowband Versus Ultra-Wideband Systems , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[4]  Ryuji Kohno,et al.  Throughput analysis for cooperative sensing in cognitive radio networks , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

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

[6]  Hitoshi Yoshino,et al.  Spectrum Sharing by Adaptive Transmit Power Control for Low Priority Systems and Achievable Capacity , 2009, IEICE Trans. Commun..

[7]  P.K. Tang,et al.  Performance of Secondary Radios in Spectrum Sharing with Prioritized Primary Access , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[8]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..