Interference Protection on Legacy Devices with Cognitive Radio using Smart Antennas

Using smart antennas for enhancing cognitive radio non-intrusiveness on a primary network

“…As compared to our previous technique in [8], the only drawback of this new approach is the possibly very extensive calculation required by the secondary network. Indeed, since all the ORCAs of a PA p have to be considered to find IA,e(p), the number of simultaneous transmitting SNs as well as the size of UA(p) might become a relevant issue as they increase.…”

“…In [8], we have developed an interference estimation technique for the arbitrarily deployed secondary network to protect PAs from its transmitted power, by assuming no online communication between SNs and PAs, and no secondary network a priori information about the primary signal. The present paper now shows the interference estimation accuracy's theoretical upper bound achievable, in this open spectrum context, by means of a newly developed technique and supported by simulation results.…”

“…In our previous technique [8] named Border-UA, we had IR,e(i,p) as the estimate of IR(i,p) where this interference from transmitting SN i to PA p was calculated at the border of UA(p), if i was located outside of it, or calculated at i's own location, if it was inside. Then, IA,e(p) was simply the sum of all IR,e(h,p) ∀h∈ST.…”

“…In order to compare our previous Border-UA technique [8] with the novel Max-GIP presented is this paper, a Monte Carlo simulation with Matlab was performed. This simulation comprises the generation of 5000 independent scenarios where 25 SNs and 5 PAs are randomly positioned in a 1×1 km 2 simulation area.…”

Uncertainty area-based interference mitigation for cognitive radio

“…For this reason, our simulation results presented in Section 5 cannot be compared with any other method from literature at this time, as our scheme is the first reference for this particular non-intrusive coexistence condition. We have already published some preliminary results of this work in [20], but this article now offers much more details on our proposed interference estimation technique, as well as a quite different and more efficient method to statistically justify the wireless coexistence approval. The following section explains how the results of a Monte Carlo simulation prior to the MANET deployment, provided that special coexistence requirements are communicated offline between both network managers, brings a novel interesting avenue for interference mitigation in this emerging open spectrum context.…”