What and how much to gain by spectrum agility?

Static spectrum allocation prohibits radio devices from using spectral bands designated for others. As a result, some bands are under-utilized while other bands are over-populated with radio devices. To remedy this problem, the concept of spectrum agility has been considered so as to enable devices to opportunistically utilize others' spectral bands. In order to help realize this concept, we establish an analytical model to derive performance metrics, including spectrum utilization and spectrum-access blocking time in spectral-agile communication systems. We then propose three basic building blocks for spectral-agile systems, namely spectrum opportunity discovery, spectrum opportunity management, and spectrum usage coordination, and develop protocols for each blocks. These protocols are integrated with the IEEE 802.11 protocol, and simulated using ns-2 to evaluate the protocol overhead. The simulation results show that our proposed protocols can improve the throughput of an IEEE 802.11 wireless LAN by 90% for the simulated scenarios, and the improvements matched well our analytical model. These results demonstrate the great potential of using spectrum agility for improving spectral utilization in an efficient, distributed, and autonomous manner

[1]  Dipankar Raychaudhuri,et al.  A spectrum etiquette protocol for efficient coordination of radio devices in unlicensed bands , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[2]  S. Chuprun,et al.  Adaptive spectrum exploitation using emerging software defined radios , 1999, RAWCON 99. 1999 IEEE Radio and Wireless Conference (Cat. No.99EX292).

[3]  Ramjee Prasad,et al.  Mathematical analysis of dynamic channel selection in indoor mobile wireless communication systems , 1998 .

[4]  P. K. Lee Joint frequency hopping and adaptive spectrum exploitation , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).

[5]  P. Schramm,et al.  Overview and performance of HIPERLAN type 2-a standard for broadband wireless communications , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[6]  C. Gardiner Handbook of Stochastic Methods , 1983 .

[7]  Joseph Mitola,et al.  The software radio architecture , 1995, IEEE Commun. Mag..

[8]  John W. Betz,et al.  Detection of weak random signals in IID non-Gaussian noise , 2000, IEEE Trans. Commun..

[9]  Dimitri P. Bertsekas,et al.  Data Networks , 1986 .