Journal article
Bandwidth partitioning in decentralized wireless networks
IEEE transactions on wireless communications, v 7(12), pp 5408-5419
Dec 2008
Abstract
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.
Metrics
Details
- Title
- Bandwidth partitioning in decentralized wireless networks
- Creators
- Nihar Jindal - with the ECE Departments of the University of Minnesota, the University of Texas at Austin, and Drexel University, respectively (e-mail:nihar@umn.edu, jandrews@ece.utexas.edu, sweber@ece.drexel.edu.)Jeffrey G Andrews - with the ECE Departments of the University of Minnesota, the University of Texas at Austin, and Drexel University, respectively (e-mail:nihar@umn.edu, jandrews@ece.utexas.edu, sweber@ece.drexel.edu.)Steven Weber - with the ECE Departments of the University of Minnesota, the University of Texas at Austin, and Drexel University, respectively (e-mail:nihar@umn.edu, jandrews@ece.utexas.edu, sweber@ece.drexel.edu.)
- Publication Details
- IEEE transactions on wireless communications, v 7(12), pp 5408-5419
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000261924100036
- Scopus ID
- 2-s2.0-58149114556
- Other Identifier
- 991014877768604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic
- Telecommunications