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In this paper, in order to tackle major challenges of spectrum exploration \&allocation in Cognitive Radio (CR) networks, we apply the general framework ofDecision Fusion (DF) to wideband collaborative spectrum sensing based onOrthogonal Frequency Division Multiplexing (OFDM) reporting. At the transmitterside, we employ OFDM without Cyclic Prefix (CP) in order to improve overallbandwidth efficiency of the reporting phase in networks with high user density.On the other hand, at the receiver side (of the reporting channel) we devicethe Time-Reversal Widely Linear (TR-WL), Time-Reversal Maximal Ratio Combining(TR-MRC) and modified TR-MRC (TR-mMRC) rules for DF. The DF Center (DFC) isassumed to be equipped with a large antenna array, serving a number ofunauthorized users competing for the spectrum, thereby resulting in a``virtual'' massive Multiple-Input Multiple-Output (MIMO) channel. Theeffectiveness of the proposed TR-based rules in combating ($a$) inter-symboland ($b$) inter-carrier interference over conventional (non-TR) counterparts isthen examined, as a function of the Signal-to-Interference-plus-Noise Ratio(SINR). Closed-form performance, in terms of system false-alarm and detectionprobabilities, is derived for the formulated fusion rules. Finally, the impactof large-scale channel effects on the proposed fusion rules is alsoinvestigated, via Monte-Carlo simulations.

Wideband Collaborative Spectrum Sensing using Massive MIMO Decision Fusion