1.    Chen Q, Motani M, Wong W C, et al. Cooperative spectrum sensing strategies for cognitive radio mesh networks. IEEE Journal of Selected Topics in Signal Processing, 2011, 5(1): 56-67

  2.    Al-Dulaimi A, Al-Raweshidy H, Cosmas J, et al. Cognitive mesh networks. IEEE Vehicular Technology Magazine, 2010, 5(3): 54-60

  3.    Gupta P, Kumar P R. The capacity of wireless networks. IEEE Transactions on Information Theory, 2000, 46(2): 388-404

  4.    Weber S P, Yang X Y, Andrews J G, et al. Transmission capacity of wireless Ad-hoc networks with outage constraints. IEEE Transactions on Information Theory, 2005, 51(12): 4091-4102

  5.    Liu X W, Haenggi M. Throughput analysis of fading sensor networks with regular and random topologies. EURASIP Journal on Wireless Communications and  Networking, 2005(4): 554-564

  6.    Liu X W, Haenggi M. Performance analysis of Rayleigh fading Ad-hoc networks with regular topology. Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM’05): Vol 6, Nov 28-Dec2, 2005, St Louis, MO, USA. Piscataway, NJ, USA: IEEE, 2005: 2725-2729

  7.    Iraqi Y. Topology effect on the capacity of wireless mesh networks. Proceedings of the IEEE GCC Conference and Exhibition (GCC’11), Feb 19-22, 2011, Dubai, United Arab Emirates. Piscataway, NJ, USA: IEEE, 2011: 11-314

  8.    Ghasemi A, Sousa E S. Fundamental limits of spectrum-sharing in fading environments. IEEE Transactions on Wireless Communications, 2007, 6(2): 649-658

  9.    Suraweera H A, Gao J, Smith P J, et al. Channel capacity limits of cognitive radio in asymmetric fading environments. Proceedings of the IEEE International Conference on Communications (ICC’08), May 19-23, 2008, Beijing, China. Piscataway, NJ, USA: IEEE, 2008: 4048-4053

10.    Kim Y, Gustavo D V. Joint network capacity region for cognitive networks heterogeneous environments and RF-environment awareness. IEEE Journal on Selected Areas in Communications, 2011, 29(2): 407-420

11.    Jia J C, Zhang Q, Shen X M, et al. HC-MAC: a hardware-constrained cognitive MAC for efficient spectrum management. IEEE Journal on Selected Areas in Communications, 2008, 26(1): 106-117

12.    Timmers M, Pollin S, Dejonghe A, et al. A distributed multichannel MAC protocol for multihop cognitive radio networks. IEEE Transactions on Vehicle Technology, 2010, 59(1): 446-460

13.    Chen X, Liu Y A, Liu K M, et al. A quantitative analysis of the maximum achievable capacity of cognitive wireless mesh networks. Journal of Information and Computational Science, 2013, 10(1): 237-245

14.    ElBatt T, Ephremides A. Joint scheduling and power control for wireless ad-hoc networks. IEEE Transactions on Wireless Communications, 2004, 3(1): 74-85

15.    How K C, Ma M D, Yang Q. A cognitive power-controlled rate-adaptive MAC protocol to support differentiated service in wireless mesh networks. Proceedings of the 7th International Conference on Information, Communications and Signal Processing (ICICS’09), Dec 8-10, 2009, Singapore. Piscataway, NJ, USA: IEEE, 2009: 5p

16.    Pathak P H, Dutta R. Impact of power control on capacity of TDM-scheduled wireless mesh networks. Proceedings of the IEEE International Conference on Communications (ICC’11), Jun 5-9, 2011, Kyoto, Japan. Piscataway, NJ, USA: IEEE, 2011: 6p

17.    Noack A, Bok P B, Kruck S. Evaluating the impact of transmission power on QoS in wireless mesh networks. Proceedings of the 20th International Conference on Computer Communications and Networks (ICCCN’11), Jul 31-Aug 4, 2011, Maui, HI, USA. Piscataway, NJ, USA: IEEE, 2012: 6p

18.    He S B, Hu Z L, Zhang X C, et al. Power control game algorithm based on interference temperature in cognitive radio. Journal of Chongqing University of Posts and Telecommunications: Natural Science, 2010, 22(6): 751-755 (in Chinese)