Spatial Multiplexing MIMO for Remote Areas employing MMSE Parallel Interference Cancellation for Non-Orthogonal GFDM.

Remote areas are regions isolated from urban areas, mainly characterized by a low population density, such as small settlements and medium-size rural properties. Grant broadband Internet access in remote areas figures as a technical and economic challenge to any terrestrial wireless network. The high cost of spectrum license and low revenue associated with remote areas restrains this sort of investment. To keep the evolutionary trend initiated by the Remote Area Access Network for the 5th Generation (5G-RANGE), next generation of mobile communications must provide reliable long-range and cost-effective connection in these regions by exploring unused TV channels in TV White Space (TVWS) regime with high spectral efficiency. In this sense, we propose to make use of spatial multiplexing (SM)-multiple-input-multiple-output (MIMO) and a non-orthogonal (NO) waveform, compromised to meet low out-of-band (OOB) emission while harvesting multiplexing and extra diversity gain at the same time when employing a low complexity minimum mean squared error (MMSE)-parallel interference cancellation (PIC) detector. We checked out the performance of this maximum likelihood (ML) approaching method, reproducing the frame error rate (FER) from the base reference and analyze the proposed frame structure face the requirements of remote areas targeted for smart farm scenario in the agribusiness vertical.