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        An Optimal Power-Throughput Tradeoff Study for MIMO Fading Ad-Hoc Networks

        Yousefi'zadeh, Homayoun,Jafarkhani, Hamid The Korea Institute of Information and Commucation 2010 Journal of communications and networks Vol.12 No.4

        In this paper, we study optimal tradeoffs of achievable throughput versus consumed power in wireless ad-hoc networks formed by a collection of multiple antenna nodes. Relying on adaptive modulation and/or dynamic channel coding rate allocation techniques for multiple antenna systems, we examine the maximization of throughput under power constraints as well as the minimization of transmission power under throughput constraints. In our examination, we also consider the impacts of enforcing quality of service requirements expressed in the form of channel coding block loss constraints. In order to properly model temporally correlated loss observed in fading wireless channels, we propose the use of finite-state Markov chains. Details of fading statistics of signal-to-interference-noise ratio, an important indicator of transmission quality, are presented. Further, we objectively inspect complexity versus accuracy tradeoff of solving our proposed optimization problems at a global as oppose to a local topology level. Our numerical simulations profile and compare the performance of a variety of scenarios for a number of sample network topologies.

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        Joint Routing, Scheduling and Power Control for Large Interference Wireless Networks

        Javad Kazemitabar,Vahid Tabatabaee,Hamid Jafarkhani 한국통신학회 2017 Journal of communications and networks Vol.19 No.4

        We consider the problem of joint routing, scheduling andpower control in multi-hop wireless networks. We use a linear relationbetween link capacity and signal to interference noise ratio inour formulation. In a previous work, using a duality approach, theoptimal link scheduling and power control that minimizes the totalaverage transmission power is found. We formulate this problemas a linear programming problem with exponential number of constraints. To cope with the exponential number of constraints, wepropose an iterative algorithm based on the cutting plane method. The separation oracle for the cutting plane algorithm turns out tobe an element-wise concave optimization problem that can be effectivelysolved using branch and bound algorithm. We extend thesame method to find the optimal routing scheduling and powercontrol. Simulation results show that this methodology is more efficientand scalable compare to the previously proposed algorithm.

      • KCI등재

        An Optimal Power-Throughput Tradeoff Study for MIMO Fading Ad-Hoc Networks

        Homayoun Yousefi’zadeh,Hamid Jafarkhani 한국통신학회 2010 Journal of communications and networks Vol.12 No.4

        In this paper, we study optimal tradeoffs of achievable throughput versus consumed power in wireless ad-hoc networks formed by a collection of multiple antenna nodes. Relying on adaptive modulation and/or dynamic channel coding rate allocation techniques for multiple antenna systems, we examine the maximization of throughput under power constraints as well as theminimization of transmission power under throughput constraints. In our examination, we also consider the impacts of enforcing quality of service requirements expressed in the form of channel coding block loss constraints. In order to properly model temporally correlated loss observed in fading wireless channels, we propose the use of finite-state Markov chains. Details of fading statistics of signal-to-interference-noise ratio, an important indicator of transmission quality, are presented. Further, we objectively inspect complexity versus accuracy tradeoff of solving our proposed optimization problems at a global as oppose to a local topology level. Our numerical simulations profile and compare the performance of a variety of scenarios for a number of sample network topologies.

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