Inter-intra cellular pilot contamination mitigation for heterogeneous massive MIMO cellular systems

Dey, Abhinaba; Pattanayak, Prabina

doi:10.1007/s11235-022-00889-z

Cited by 5 publications

(1 citation statement)

References 32 publications

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“…First, a series of randomly selected PSK pilot symbols-chosen from an N-PSK constellation independently-are transmitted by the legitimate user (LU).Secondly, after getting these PSK symbols, BS determines whether there are active attackers over this time period by estimating phase change between two symbols.Based on random frequency shifts, other random pilot approach [18] is used. The ground-breaking research in [19] examined PCA for BS with multiple antennas.The random pilot sequence was employed in work in [20] for PCA detection. A variety of Neyman-Pearsonbased PCA detection methods for MIMO systems that assume knowledge of channel as well as noise covariance matrices were provided in [21].The energy ratio-based PCA detector described in [22] took use of received signal's asymmetric power levels at legal emitter and receiver.…”

Section: Review Of Literaturementioning

confidence: 99%

AI based Pilot Contamination Analysis for 5G MIMO based on Multi Antenna Routing Networks and Multi-User Pilot Scheduling

Sherje

2022

ijfrcsce

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Pilot contamination, a type of inter-cell interference, limits performance of large multi-input multi-output (MIMO) antenna systems.A drawback that results in ineffective bandwidth use is the burden of pilots who must estimate the channel regularly due to the acquisition of channel state data for channel estimation.Thus, there is a trade-off between spectral efficiency (SE)as well as quantity of pilots needed to evaluate channel.This research proposes novel technique in pilot contamination analysis (PCA) for 5G network based on MIMO by multi antenna routing system. The main aim is to detect pilot contamination and enhance spectral efficiency of the network. Here pilot contamination is detected using multi-user pilot scheduling with convolutional adversarial training model. As a result, a security breach occurs when crucial information slips to Eve during downlink transmission.Ability of the legitimate user to maintain secrecy can be greatly enhanced by knowing of an active eavesdropper.We also analyse the likelihood of detection, the likelihood of a false alarm, and the likelihood of a detection error.Simulation results show that suggested strategy to find PCA is effective.the proposed technique attained SINR of 72% , spectral efficiency of 85%,normalized MSE of 73%,PCA detection accuracy of 95%.

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