Browsing by Author "Siala, Mohamed"
Now showing items 1-7 of 7
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An efficient reduced complexity PAPR reduction approach for 3GPP LTE system
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In wideband communication systems, Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) has been proposed as an efficient technique to enhance the link reliability and the spectral efficiency. ... -
On quantized compressed sensing with saturated measurements via convex optimization
( European Signal Processing Conference, EUSIPCO , 2016 , Conference Paper)In this paper, we address the problem of sparse signal recovery, from multi-bit scalar quantized compressed sensing measurements, where the saturation issue is taken into account. We propose a convex optimization approach, ... -
On quantized compressed sensing with saturated measurements via greedy pursuit
( IEEE , 2015 , Conference Paper)We consider the problem of signal recovery under a sparsity prior, from multi-bit quantized compressed measurements. Recently, it has been shown that allowing a small fraction of the quantized measurements to saturate, ... -
Power control and RB allocation for LTE uplink
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)According to 3GPP standards, the Single Carrier Frequency Division Multiple Access (SC-FDMA) was adopted for Uplink transmission in LTE networks. As multiple mobiles may have access to neighboring base stations simultaneously, ... -
Power control and RB allocation in cloud radio access networks
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)In the LTE system the fractional power control and the universal frequency reuse have been targeted. The fractional power control approach decreases the inter-cell interference but may impact the throughput. The universal ... -
Quasi-sparsest solutions for quantized compressed sensing by graduated-non-convexity based reweighted ?1minimization
( European Signal Processing Conference, EUSIPCO , 2016 , Conference Paper)In this paper, we address the problem of sparse signal recovery from scalar quantized compressed sensing measurements, via optimization. To compensate for compression losses due to dimensionality reduction and quantization, ... -
RB allocation based on genetic algorithm in cloud radio access networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This work proposes a method to optimize the resource block allocation in the cloud radio access network for a long term evolution system. This approach consists in three steps. First, the baseband unit collects the required ...