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Papers by javan erfanian
IEEE Communications Magazine
IEEE Transactions on Communications, 1994
The problem of practical realization of the optimal fixed-delay symbol-by-symbol detection algori... more The problem of practical realization of the optimal fixed-delay symbol-by-symbol detection algorithm, which is optimum in the sense of minimizing the symbol error probability, given a delay constraint D, is investigated. A fully-parallel structure is developed, and through systematic reformulations of the algorithm, the computational requirements are reduced considerably. In addition, the problems associated with a large dynamic range such as overflow (or underffow) are (practically) removed. A number of approximations are applied to this simplified parallel symbol (SPS) detector that lead to the derivation of suboptimal detectors. One such suboptimal detector is shown to be the same as the minimum-metric Viterbi detector. A brief comparison of the SPS detector and the Viterbi detector shows that the former has a slightly better performance at low values of signalto-noise ratio (SNR) and the latter performs a smaller number of computations (particularly) at higher values of SNR; otherwise, the two detectors are comparable in performance and complexity.
IEEE Communications Magazine, 1996
By Javan Erfanian, Canada he 'loronto Chapter of the IEEE Coriiriiuiiications Socih a s bccn acti... more By Javan Erfanian, Canada he 'loronto Chapter of the IEEE Coriiriiuiiications Socih a s bccn active lor m a n y years. In 1'394, it sci Tor .II' ii iic~v vision ant1 21 clear agenda for achieving Cund a iiie 11 t ii 1 ch a nge in 11 ii rin o ri y \vi 1 I I t h c rapid a ti d exciting c'nanges in the lield and responsive to the ncccls of the dynaini c an ti i 11 crcasi ngl y broad coin in i i n i ty : particularly (d ni em 11 crs, in and arouiitl 'J.'oroiito. 1. 'i.s ion n I J iI 11 pprouch
2019 IEEE 2nd 5G World Forum (5GWF), 2019
The adoption of artificial intelligence (AI) techniques entails a substantial change in the wirel... more The adoption of artificial intelligence (AI) techniques entails a substantial change in the wireless ecosystem where data as well as their owners become crucial. As a result, the roll out of AI techniques in wireless systems raises a plethora of questions. In this context, we describe the challenges observed by the wireless stakeholders when deploying AI. Furthermore, we introduce the recent discussion in field of ethics that appear when managing wireless communications data.
Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 1989
The problem of practical realization of the optimal fixed-delay symbol-by-symbol detection algori... more The problem of practical realization of the optimal fixed-delay symbol-by-symbol detection algorithm is investigated. A new structure is developed which is fully parallel with a speedup factor of 2D+1 (compared to serial implementation), where D is the delay constraint. Through systematic reformulations of the algorithm, a number of simplifications are performed that avoid the complex and slow computations of exponentials
IEEE Communications Magazine
IEEE Transactions on Communications, 1994
The problem of practical realization of the optimal fixed-delay symbol-by-symbol detection algori... more The problem of practical realization of the optimal fixed-delay symbol-by-symbol detection algorithm, which is optimum in the sense of minimizing the symbol error probability, given a delay constraint D, is investigated. A fully-parallel structure is developed, and through systematic reformulations of the algorithm, the computational requirements are reduced considerably. In addition, the problems associated with a large dynamic range such as overflow (or underffow) are (practically) removed. A number of approximations are applied to this simplified parallel symbol (SPS) detector that lead to the derivation of suboptimal detectors. One such suboptimal detector is shown to be the same as the minimum-metric Viterbi detector. A brief comparison of the SPS detector and the Viterbi detector shows that the former has a slightly better performance at low values of signalto-noise ratio (SNR) and the latter performs a smaller number of computations (particularly) at higher values of SNR; otherwise, the two detectors are comparable in performance and complexity.
IEEE Communications Magazine, 1996
By Javan Erfanian, Canada he 'loronto Chapter of the IEEE Coriiriiuiiications Socih a s bccn acti... more By Javan Erfanian, Canada he 'loronto Chapter of the IEEE Coriiriiuiiications Socih a s bccn active lor m a n y years. In 1'394, it sci Tor .II' ii iic~v vision ant1 21 clear agenda for achieving Cund a iiie 11 t ii 1 ch a nge in 11 ii rin o ri y \vi 1 I I t h c rapid a ti d exciting c'nanges in the lield and responsive to the ncccls of the dynaini c an ti i 11 crcasi ngl y broad coin in i i n i ty : particularly (d ni em 11 crs, in and arouiitl 'J.'oroiito. 1. 'i.s ion n I J iI 11 pprouch
2019 IEEE 2nd 5G World Forum (5GWF), 2019
The adoption of artificial intelligence (AI) techniques entails a substantial change in the wirel... more The adoption of artificial intelligence (AI) techniques entails a substantial change in the wireless ecosystem where data as well as their owners become crucial. As a result, the roll out of AI techniques in wireless systems raises a plethora of questions. In this context, we describe the challenges observed by the wireless stakeholders when deploying AI. Furthermore, we introduce the recent discussion in field of ethics that appear when managing wireless communications data.
Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 1989
The problem of practical realization of the optimal fixed-delay symbol-by-symbol detection algori... more The problem of practical realization of the optimal fixed-delay symbol-by-symbol detection algorithm is investigated. A new structure is developed which is fully parallel with a speedup factor of 2D+1 (compared to serial implementation), where D is the delay constraint. Through systematic reformulations of the algorithm, a number of simplifications are performed that avoid the complex and slow computations of exponentials