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- W2895780935 abstract "Parameter estimation and signal identification play an important role in modern wirelesscommunication systems. In this thesis, we address different parameter estimationand signal identification problems in conjunction with the Internet of Things (IoT),cognitive radio systems, and high speed mobile communications.The focus of Chapter 2 of this thesis is to develop a new uplink multiple access(MA) scheme for the IoT in order to support ubiquitous massive uplink connectivityfor devices with sporadic traffic pattern and short packet size. The proposed uplinkMA scheme removes the Media Access Control (MAC) address through the signalidentification algorithms which are employed at the gateway.The focus of Chapter 3 of this thesis is to develop different maximum Dopplerspread (MDS) estimators in multiple-input multiple-output (MIMO) frequency-selectivefading channel. The main idea behind the proposed estimators is to reduce the computationalcomplexity while increasing system capacity.The focus of Chapter 4 and Chapter 5 of this thesis is to develop different antennaenumeration algorithms and signal-to-noise ratio (SNR) estimators in MIMO timevaryingfading channels, respectively. The main idea is to develop low-complexityalgorithms and estimators which are robust to channel impairments.The focus of Chapter 6 of this thesis is to develop a low-complexity space-timeblock codes (STBC)s identification algorithms for cognitive radio systems. The goalis to design an algorithm that is robust to time-frequency transmission impairments." @default.
- W2895780935 created "2018-10-26" @default.
- W2895780935 creator A5015613580 @default.
- W2895780935 date "2018-05-01" @default.
- W2895780935 modified "2023-09-23" @default.
- W2895780935 title "Advances in parameter estimation, source enumeration, and signal identification for wireless communications" @default.
- W2895780935 hasPublicationYear "2018" @default.
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