|22||Study of the capacity of ONOC based on MIMO (Multiple Input Multiple Output) system|
Haythem Ben Cheikha
When designing Optical Networks-On-Chip, designers have resorted to make dialogue between emitters (lasers) and receivers (photo-detectors) through a waveguide which is based mainly on optical routers called λ-router. In this paper, we propose a new method based on the Multiple Input Multiple Output concept, and we give a model of the channel propagation, then we study the influence of different parameters in the design of Optical Networks-On-Chip.
|27||User Variance Based Scheduling Algorithm in OFDMA Wireless Systems|
This paper deals with the important problem of resource allocation and scheduling scheme for the downlink Orthogonal Frequency Division Multiple Access (OFDMA) wireless systems. We propose a novel scheduling algorithm based on the issue of variance optimization in regard to the set of unassigned sub channel. The strong point of our proposed scheme is the effective spectrum management and allows jointly optimize both system throughput and fairness. Comparing with the proportional fair scheduling algorithm (PFS), the proposed scheme is able to achieve higher system throughput with a better fairness among users. Simulation results verify that the proposed scheme can achieve a better tradeoff between system throughput and fairness among users than its counterparts.
|35||A Theoretical Characterization of Nonlinear Polynomial Model Effects on the Capacity of MIMO OFDM Systems|
This paper presents a theoretical characterization of nonlinear distortion effects introduced by High Power Amplifier (HPA) in a Vertical Bell Laboratories Layered Space-Time Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (VBLAST MIMO OFDM) systems accompanied with Minimum Mean Square Error (MMSE) receiver, when the signal is modeled as a nonlinear polynomial model. This theoretical study allows determining the analytical formulation of the Bit Error Rate (BER) and the capacity of the channel. The aim of this paper is to study the effect of nonlinearity on the capacity of systems and present the performance of MMSE in this case. Initially, a comparison with simulation results is carried out to verify the accuracy of this method.