Uplink transmission power allocation in CDMA-based mobile networks

Demestichas, Panagiotis; Tsagkaris, Kostas; Tzifa, E.C.; Theologou, M.

doi:10.1049/el:20030099

Cited by 8 publications

(9 citation statements)

References 1 publication

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“…the allocation of demand proposed by A (either A s or A l ). For this reason, the uplink and downlink power allocation algorithms, proposed in [19,20], are recruited and executed |F v | times per BS, one for each of the available carriers in v. The focus of this paper is actually the migration of the single-carrier 3G infrastructures targeted in above referenced papers to the case of reconfigurable/ cognitive infrastructures, the proper management of which should be based on multi-RAT, multi-carrier fundaments and concepts.…”

Section: Criteria For Selecting the Best Allocationmentioning

confidence: 99%

“…Accordingly, the modified input passed to the power allocation algorithms in [19,20] consists of the demand per pixel and service in multiplied by the percentage indicated by each allocation policy A i and can be written as: in case of location-based policies, bÁc where denotes the integer part of the enclosed quantity. Eventually, the solution of the DAMC optimization problem corresponds to the reconfiguration with the least contribution to network interference.…”

Section: Criteria For Selecting the Best Allocationmentioning

confidence: 99%

“…However, we believe that this change will bring no significant impact in the performance of our proposed functionality. For instance, our work is generic with respect to the used propagation model through the configuration of certain parameters in the used equations [19,20] and simulations. Furthermore, we believe that the selected propagation model is appropriate for the scenarios examined, in which the demand is assumed to reach an almost static distribution, where the location of each user/terminal degenerates into the centre of the pixel to which it belongs.…”

Section: Scenario 1-general Input Parametersmentioning

confidence: 99%

See 2 more Smart Citations

Policies for the reconfiguration of cognitive wireless infrastructures to 3G Radio Access Technologies

2007

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The ceaseless evolution of wireless communications is reflected nowadays on the introduction of Beyond-3G (B3G) systems, characterized by the coexistence and cooperation of various Radio Access Technologies (RATs), over a common infrastructure. Major facilitator of this convergence is the advent of cognitive networks, which deploy elements (base stations and mobile terminals) that are able to proactively adapt to environmental stimuli, so that to optimize their performance. Part of the adaptation action takes place in cognitive base stations that own several reconfigurable transceivers, which are controlled by appropriate management functionality and may dynamically change their operating parameters. Each reconfiguration set includes a specific RAT, carrier frequency, as well as demand volume to be allocated per transceiver. Accordingly, proper evaluation of the various candidate reconfiguration sets appears to be of high significance. To this effect, in this paper we consider a cognitive network segment with transceivers operating at 3G RAT/carrier and we solve the DAMC problem (Demand Allocation into Multiple Carriers problem), which aims at evaluating and selecting the optimum policy to allocate the demand into the available 3G carrier frequencies. Optimality is expressed in terms of minimizing the total transmitted/received power per base station, thus deciding for the reconfigurations with the least impact on network interference. Indicative simulation scenarios and results are also presented for the validation and verification of the proposed functionality.

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Section: Criteria For Selecting the Best Allocationmentioning

confidence: 99%

Section: Criteria For Selecting the Best Allocationmentioning

confidence: 99%

Section: Scenario 1-general Input Parametersmentioning

confidence: 99%

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Policies for the reconfiguration of cognitive wireless infrastructures to 3G Radio Access Technologies

2007

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“…power control, frequency allocation, etc. Some examples can be found in [16,17], while the DVB-T case is going to be presented shortly. The Resource Brokerage (RB) component is clearly RAT independent and is responsible for collecting offers from all the involved networks (and also network and service providers).…”

Section: Cre Network Management Systemmentioning

confidence: 99%

Resource management of IP-enabled DVB-T networks in the context of wireless B3G systems

et al. 2006

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The wireless beyond 3G systems or the so called Composite Radio Environments (CRE) (or even 4G systems), consist of multiple type radio access technologies, collaborating with each other, providing both diverse access alternatives and QoS improvement, especially as far as concerns protection against traffic congestion and loss of radio coverage situations. The merits deriving from beyond 3G systems interest not only network and service providers but also the mobile users. Additionally, the need of broadband wireless access is directly associated with the intense demand for IP multimedia services (e.g. video streaming or high speed web browsing), mainly inside hot-spot areas. Taking into consideration the above described tendency in the area of wireless network systems, the IP-enabled DVB-T (the terrestrial specification of the Digital Video Broadcasting family) systems appear as an attractive alternative network access in the CRE context. Along this direction, this paper presents the most important aspects of a CRE network management system (NMS), focusing on the component responsible for the DVB-T resource management (RM).Finally, we implement and investigate through simulation a greedy algorithm suitable for DVB-T networks that performs fast resource management and configuration. We also provide some indicative results which prove that the algorithm demonstrates a close to optimal performance at the RM functionality.

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“…Proper elaboration on relation (2) shows, that the TPAA solution (allocationÃ ) can be derived from the I tot B c ð Þ values by means of an iterative method. The detailed analysis and the evolution steps of the algorithm can be found in reference papers [3,7] and omitted here for brevity.…”

Section: Solutionmentioning

confidence: 99%

Power control in CDMA networks based on soft computing methods

et al. 2004

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Power control is a fundamental procedure for CDMA mobile radio communication systems. In multiservice CDMA systems, power control should be used to minimise the transmission power of each connection, in order to limit the multiple access interference, while obtaining the desirable SIR levels. This paper starts from a transmitted-power allocation algorithm (TPAA) that considers a set of uplink transmissions, which should be supported by the system. In the sequel, the TPAA algorithm is used for training an Elman neural network, which, due to its internal characteristics, is applicable in the time critical context of power control. Simulations and numerical results are analysed for obtaining a solid basis for employing our scheme in the power control of CDMA systems.

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Uplink transmission power allocation in CDMA-based mobile networks

Cited by 8 publications

References 1 publication

Policies for the reconfiguration of cognitive wireless infrastructures to 3G Radio Access Technologies

Policies for the reconfiguration of cognitive wireless infrastructures to 3G Radio Access Technologies

Resource management of IP-enabled DVB-T networks in the context of wireless B3G systems

Power control in CDMA networks based on soft computing methods

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