Abstract
A new interference mitigation approach is presented for a Mobile Ad Hoc NETwork (MANET), acting as a secondary wireless network, which takes advantage of smart antennas and cognitive radio capabilities when arbitrarily deployed in the same area as a primary wireless network while both sharing the same spectrum. The MANET has to cope with the very coarse probabilistic estimate of the primary network antenna location, resulting from the absence of communication between both networks. Prior to MANET deployment, a Monte Carlo simulation is performed to evaluate the MANET's potential aggregate interference. Thus, both network managers have offline requirements to meet by such a simulation before approving their coexistence in the same environment. The adequate size of an uncertainty area surrounding each primary antenna, to respect those requirements, is therefore our main contribution to mitigate the MANET's interference. This is a novel solution for this kind of non-intrusive underlay spectrum sharing paradigm.
Highlights
The rapid growth of electromagnetic radio-spectrum use has made this natural resource a rather scarce asset for different wireless networks deployed in overlapping areas
Since we consider any online communication to be impossible between both networks, our scheme is based on the idea that, prior the Mobile Ad Hoc NETwork (MANET) deployment in the same environment as the primary network, both of them must agree with the coexistence based on the results of an offline Monte Carlo simulation
A novel and very promising interference mitigation approach has been described in this article, which greatly takes advantage of the use of smart antennas by secondary network nodes when arbitrarily deployed in the same area as primary network antennas
Summary
The rapid growth of electromagnetic radio-spectrum use has made this natural resource a rather scarce asset for different wireless networks deployed in overlapping areas. To the best of our knowledge, nobody in the past has ever considered our main assumptions in the interference estimation of a secondary network towards a primary network: no online communication between both networks, coarse probabilistic estimate of PAs location obtained by the secondary network, and arbitrary deployment of the latter In our interference mitigation approach explained subsequently in 3-B, this fact is rather an advantage so it is more appropriate to talk of an aggregate interference offset on p, denoted as IA,o (p), instead of an aggregate interference error, since this difference can probabilistically be selected by both the primary and secondary networks as explained subsequently Those interference notations are defined as MANET location estimate of the pth PA. A bivariate Gaussian random variable with mean μx (p) and μy (p), and standard deviation sx (p) on the abscissa and sy (p) on the ordinate, is used to model the
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