Saheed Adegbite | Glasgow Caledonian University (original) (raw)
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Papers by Saheed Adegbite
Side information (SI) detection is normally needed to achieve successful data reception when sele... more Side information (SI) detection is normally needed to achieve successful data reception when selected mapping is implemented for reducing peak-to-average power ratio in orthogonal frequency division multiplexing systems. In severe frequency selective channel fading, existing pilot-assisted SI estimation schemes are ineffective especially when the number of pilots is limited, resulting in performance degradation in the form of increased BER. To address this problem, an alternative pilot-assisted SI estimation method based on a time-domain decision metric is proposed. Simulations show that when compared to a pilot-assisted SI estimation scheme based on frequency domain correlation, the proposed method provides improved SI estimation performance in the form of reduced SI detection error rate.
This paper studies control format indicator (CFI) estimation methods in 4G-LTE communication syst... more This paper studies control format indicator (CFI) estimation methods in 4G-LTE communication systems. CFI is an essential control signal in LTE, and must be correctly detected at the receiver to avoid degraded system performance. The standard method of CFI detection involves the use of the Maximum Likelihood (ML) estimation criterion. Unfortunately, ML decoding performance relies on accurate channel estimation, and as a consequence may result in poor CFI decoding when channel estimates are poor. To improve CFI detection in severe fading channel conditions, a time-domain decision rule that requires no channel estimation, is proposed. Results show that when compared with the ML approach, the proposed method reduces the probability of CFI estimation error in the form of reduced block error rate.
To reduce the occurrence of high peak-to-average power ratio (PAPR), this paper introduces prolat... more To reduce the occurrence of high peak-to-average power ratio (PAPR), this paper introduces prolate-binary sequences, and their application in orthogonal frequency division multiplexing (OFDM) systems that implement selected mapping (SLM). Through computer simulation, it is shown that the proposed prolate-binary sequences offer combined improved PAPR reduction performance, and reduced computational complexity compared with Riemann-binary sequences.
Side information (SI) detection is normally needed to achieve successful data reception when sele... more Side information (SI) detection is normally needed to achieve successful data reception when selected mapping is implemented for reducing peak-to-average power ratio in orthogonal frequency division multiplexing systems. In severe frequency selective channel fading, existing pilot-assisted SI estimation schemes are ineffective especially when the number of pilots is limited, resulting in performance degradation in the form of increased BER. To address this problem, an alternative pilot-assisted SI estimation method based on a time-domain decision metric is proposed. Simulations show that when compared to a pilot-assisted SI estimation scheme based on frequency domain correlation, the proposed method provides improved SI estimation performance in the form of reduced SI detection error rate.
This paper studies control format indicator (CFI) estimation methods in 4G-LTE communication syst... more This paper studies control format indicator (CFI) estimation methods in 4G-LTE communication systems. CFI is an essential control signal in LTE, and must be correctly detected at the receiver to avoid degraded system performance. The standard method of CFI detection involves the use of the Maximum Likelihood (ML) estimation criterion. Unfortunately, ML decoding performance relies on accurate channel estimation, and as a consequence may result in poor CFI decoding when channel estimates are poor. To improve CFI detection in severe fading channel conditions, a time-domain decision rule that requires no channel estimation, is proposed. Results show that when compared with the ML approach, the proposed method reduces the probability of CFI estimation error in the form of reduced block error rate.
To reduce the occurrence of high peak-to-average power ratio (PAPR), this paper introduces prolat... more To reduce the occurrence of high peak-to-average power ratio (PAPR), this paper introduces prolate-binary sequences, and their application in orthogonal frequency division multiplexing (OFDM) systems that implement selected mapping (SLM). Through computer simulation, it is shown that the proposed prolate-binary sequences offer combined improved PAPR reduction performance, and reduced computational complexity compared with Riemann-binary sequences.