2015 7th International Conference on Communication Systems and Networks (COMSNETS) 2015
DOI: 10.1109/comsnets.2015.7098673
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Complexity analysis and algorithms for the Inter Cell Interference Coordination with fixed transmit powers problem

Abstract: We study the Inter Cell Interference Coordination problem in a multi-cell OFDMA based cellular network employ ing universal frequency reuse. In each cell, only a subset of the available subchannels are allocated to mobile stations (MS) in a given time slot so as to limit the interference to neighboring

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Cited by 5 publications
(3 citation statements)
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“…1) Constant power case, where the BS assigns a fixed transmission power P to each relay node. In general, in a cellular network, the BS can either allocate different transmit power levels to different cellular users (e.g., taking into account the current channel gains) or assign a fixed transmit power to all cellular users [28]. Although the former scheme, a variable transmit power scheme, allows a more flexible allocation, the fixed power allocation scheme is easier to implement due to its simplicity and also the loss in performance is negligible compared to the former for dense deployments of BSs [18], [31].…”
Section: Objectivementioning
confidence: 99%
See 1 more Smart Citation
“…1) Constant power case, where the BS assigns a fixed transmission power P to each relay node. In general, in a cellular network, the BS can either allocate different transmit power levels to different cellular users (e.g., taking into account the current channel gains) or assign a fixed transmit power to all cellular users [28]. Although the former scheme, a variable transmit power scheme, allows a more flexible allocation, the fixed power allocation scheme is easier to implement due to its simplicity and also the loss in performance is negligible compared to the former for dense deployments of BSs [18], [31].…”
Section: Objectivementioning
confidence: 99%
“…In the approximately maximizing the BS utility scenario, the same procedure is followed as in the normal relaying case. We find the root of ( 27) by substituting (28) for Γ i,j . The transmission power required by relay node i while transmitting to destination node j for approximately maximizing the BS's utility is:…”
Section: Decode-and-forwardmentioning
confidence: 99%
“…The crystallization kinetics of gas hydrates can be adequately explained utilizing the Johnson-Mehl-Avrami-Kolmogorow (JMAK) [613][614][615] model, which assumes the kinetics of isothermal phase transformation from H2O/guest gas (CH4 in this work) to solid-state based on random nucleation with a constant growth rate. This model has previously been applied to investigate hydrate growth kinetics [569,[616][617][618][619][620][621] and is presented in Eq. (4.8)…”
Section: Ch4 Hydrate Kineticsmentioning
confidence: 99%