Resource Consumption in Dynamic Spectrum Access Networks: Applications and Shannon Limits

Pursley, M.B.; Royster, Thomas C.

doi:10.1109/ita.2007.4357598

Cited by 4 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [7] the time-bandwidth-area product achieved by different codes are evaluated. This metric is essentially equivalent to the inverse of transmission density in our network model, but the authors do not pursue optimization of this metric, which is the essence of our work.…”

Section: B Related Workmentioning

confidence: 99%

“…A number of works have considered related problems in the context of decentralized networks, although none appear to have investigated the optimization considered here. In [7] the time-bandwidth-area product achieved by different codes are evaluated. This metric is essentially equivalent to the inverse of transmission density in our network model, but the authors do not pursue optimization of this metric, which is the essence of our work.…”

Section: B Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Bandwidth partitioning in decentralized wireless networks

Jindal

Andrews

Weber

2008

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

This paper addresses the following question, which is of interest in the design of a multiuser decentralized network. Given a total system bandwidth of W Hz and a fixed data rate constraint of R bps for each transmission, how many frequency slots N of size W/N should the band be partitioned into in order to maximize the number of simultaneous links in the network? Dividing the available spectrum results in two competing effects. On the positive side, a larger N allows for more parallel, non-interfering communications to take place in the same area. On the negative side, a larger N increases the SINR requirement for each link because the same information rate must be achieved over less bandwidth. Exploring this tradeoff and determining the optimum value of N in terms of the system parameters is the focus of the paper. Using stochastic geometry, the optimal SINR threshold -which directly corresponds to the optimal spectral efficiency -is derived for both the low SNR (power-limited) and high SNR (interference-limited) regimes. This leads to the optimum choice of the number of frequency bands N in terms of the path loss exponent, power and noise spectral density, desired rate, and total bandwidth.

show abstract

Section: B Related Workmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 99%