Papers by Sherief Hashima
Fast Block Matching Algorithms (BMAs) play an important role in motion estimation and object trac... more Fast Block Matching Algorithms (BMAs) play an important role in motion estimation and object tracking. Search speed and distortion performance are determined by search pattern shape and size. A fast motion estimation algorithm, called One Point Pentagon inner search (OPPEN) is presented for both motion estimation and object tracking. The performance of the OPPEN algorithm is analyzed and quantitatively compared with most recent BMAs. Experimental results reveal that our proposed algorithm has superior performance compared with other algorithms in terms of number of search points and computational complexity. Also, the role of Region of Interest (ROI) in object tracking is discussed for further improving the performance of the proposed algorithm. Keywords Fast block matching algorithms (FBMAs), Region of Interest (ROI), Diamond Search (DS), Minimum Block Difference (MBD)
This paper discusses the role of region of interest (ROI) in the performance of different Block m... more This paper discusses the role of region of interest (ROI) in the performance of different Block matching algorithms (BMAs) .Three types of BMAs are implemented and their performance are compared from timing point of view. Each algorithm is implemented in two cases, one case with ROI and the other without ROI. Experimental results showed a direct improvement for performance when using ROI. Also the complexity analysis for each algorithm is presented.
In this paper two diff erent Fast Block Matching Algorithms (FBMAs) are introduced and analyzed. ... more In this paper two diff erent Fast Block Matching Algorithms (FBMAs) are introduced and analyzed. They ar e
One Point Pentagon Inner Sear ch (OPPEN) and Predicted One Point Hexagon Inner Search (POPHEX)
algorithms. The proposed algorithms are compared with other FBMAs like Diamond Sear ch (DS), and Hexagonal
based search (HEX) algorithms using MATLAB environment. The comparison is conducted for both motion
estimation and object tracking using group of known test video sequences. The results showed that the proposed
OPPEN algorithm has the best performance in terms of complexity and average cost fu nction. Also it have the
smallest tracking time consumption.
Frequency reuse schemes are an interference management techniques well suited to OFDMA-based cell... more Frequency reuse schemes are an interference management techniques well suited to OFDMA-based cellular networks. In this paper, analytical expressions are derived for the worst case Signal to Interference Ratio (SIR) ratio for both Fractional Frequency Reuse (FFR), and Soft Frequency Reuse (SFR). Also, analytical expressions are derived for the best inner radius using the worst SIR in both FFR, and SFR schemes. The analysis is performed in cellular network using exponent path loss model. The results showed that FFR with reuse four has the smallest interference hence better edge spectral effiency than SFR with different power ratios. For SFR it is better to use power ratios between 2, 4 as they achieve reasonable inner radii than other power ratios. The analysis showed that there is tradeoff aspect between capacity and coverage related to SFR and FFR respectively.
Fractional Frequency Reuse (FFR) is an efficient mitigation technique for modern cellular network... more Fractional Frequency Reuse (FFR) is an efficient mitigation technique for modern cellular networks because of its low complexity and coordination requirements and resource allocation flexibility. This work considers the use of FFR in the cellular uplink where we analyze the uplink worst case Signal to Interference Ratio (SIR) for two main FFR schemes; which are strict FFR and Soft FFR. A closed form expression is derived analytically for the worst SIR and for the best inner radius. This analytical technique is utilized to configure a FFR solution for the uplink of OFDMA cellular system. The analysis is performed using two-tier cellular network with uniform user density and for three different cases of FFR. The effect of power control exponent on both FFR schemes is also studied. The inner radius configuration depends on equalizing the worst SIR for both inner and outer edges of the cell. Numerical results show that FFR with reuse four yields the highest SIR. It is noticed that power control exponent doesn't affect strict FFR but affects SFR as it reduces its SIR and inner radius.
Fractional Frequency Reuse (FFR) is an efficient method to mitigate Inter Cell Interference in mu... more Fractional Frequency Reuse (FFR) is an efficient method to mitigate Inter Cell Interference in multicellular Orthogonal Frequency Division Multiple Access (OFDMA) systems. In this paper, we analyze the downlink worst case Signal to Interference Ratio for FFR schemes. A closed form expression is derived analytically for the worst SIR, outage probability, and Spectral Efficiency (SE). The proposed analytical technique is used to configure a FFR solution for the downlink of OFDMA cellular system. The analysis is performed using two-tiers cellular network with uniform user density and for three different cases of FFR, namely, Frequency Reuse Factor (FRF) = 3, FRF=4 and sectored FFR. The inner radius configuration depends on equalizing the worst SIR for both inner and outer edges of the cell. Numerical results show that sectored FFR yields the highest SE and low outage probability. Sectored FFR highly balances the needs of interference reduction and resource efficiency.
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Papers by Sherief Hashima
One Point Pentagon Inner Sear ch (OPPEN) and Predicted One Point Hexagon Inner Search (POPHEX)
algorithms. The proposed algorithms are compared with other FBMAs like Diamond Sear ch (DS), and Hexagonal
based search (HEX) algorithms using MATLAB environment. The comparison is conducted for both motion
estimation and object tracking using group of known test video sequences. The results showed that the proposed
OPPEN algorithm has the best performance in terms of complexity and average cost fu nction. Also it have the
smallest tracking time consumption.
One Point Pentagon Inner Sear ch (OPPEN) and Predicted One Point Hexagon Inner Search (POPHEX)
algorithms. The proposed algorithms are compared with other FBMAs like Diamond Sear ch (DS), and Hexagonal
based search (HEX) algorithms using MATLAB environment. The comparison is conducted for both motion
estimation and object tracking using group of known test video sequences. The results showed that the proposed
OPPEN algorithm has the best performance in terms of complexity and average cost fu nction. Also it have the
smallest tracking time consumption.