Computer Science – Information Theory
Scientific paper
2011-01-29
Computer Science
Information Theory
12 pages, 6 figures, contributed to the 2010 IEEE Asilomar Conference on Signals, Systems and Computers
Scientific paper
In this paper, the optimal spectral efficiency (data rate divided by the message bandwidth) that minimizes the probability of causing disruptive interference for ad hoc wireless networks or cognitive radios is investigated. Two basic problem constraints are considered: a given message size, or fixed data rate. Implicitly, the trade being optimized is between longer transmit duration and wider bandwidth versus higher transmit power. Both single-input single-output (SISO) and multiple-input multiple-output (MIMO) links are considered. Here, a link optimizes its spectral efficiency to be a "good neighbor." The probability of interference is characterized by the probability that the signal power received by a hidden node in a wireless network exceeds some threshold. The optimized spectral efficiency is a function of the transmitter-to-hidden-node channel exponent, exclusively. It is shown that for typical channel exponents a spectral efficiency of slightly greater than 1~b/s/Hz per antenna is optimal. It is also shown that the optimal spectral efficiency is valid in the environment with multiple hidden nodes. Also explicit evaluations of the probability of collisions is presented as a function of spectral efficiency.
Bliss Daniel W.
Govindasamy Siddhartan
No associations
LandOfFree
Minimizing Hidden-Node Network Interference by Optimizing SISO and MIMO Spectral Efficiency does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Minimizing Hidden-Node Network Interference by Optimizing SISO and MIMO Spectral Efficiency, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Minimizing Hidden-Node Network Interference by Optimizing SISO and MIMO Spectral Efficiency will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-157640