Modeling the impact of the fast power control on the WCDMA uplink

Sipilä, Kari; Laiho-Steffens, J.; Wacker, A.; Jasberg, M.

doi:10.1109/vetec.1999.780551

Cited by 36 publications

(28 citation statements)

References 2 publications

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“…The transmit power rise phenomenon associated to CLPC consists in an increase in the average transmit power required for a given average received power (or SIR), caused by the correlation between instantaneous transmit power and instantaneous attenuation [1]. The transmit power rise may produce an increase in received interference, as is now discussed.…”

Section: Average Transmit Power Risementioning

confidence: 90%

“…As a consequence, application of these models to a cellular network with CLPC may lead to inaccuracies. To give an idea of the importance of this, it is noted that the link-level results reported in [1] [2] [6] indicate a range of 0-2 dB for the values of the average transmit power rise. Failing to take this effect into account underestimates transmission powers and interference levels, and gives too optimistic capacity values [7].…”

mentioning

confidence: 99%

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System-Level Analysis of Closed-Loop Power Control in the Uplink of DS-CDMA Cellular Networks

Mendo¹,

Hernando²

2007

IEEE Trans. Wireless Commun.

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Abstract-A system-level model for power control in the uplink of direct-sequence code-division multiple access (DS-CDMA) cellular networks is presented. The model takes into account the effects of the closed loop, namely average transmit power rise, power headroom, and variable soft hand-off gains, which are not considered in existing power control models. The power control problem is analyzed in this setting, and a number of properties are derived which generalize results from the classical model without closed-loop effects. Based on this analysis, an algorithm is given that determines required transmit powers taking into account these effects. This algorithm is a generalization of classical iterative algorithms without closed-loop effects. Finally, simulation results are presented to assess the validity of the approach.

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Section: Average Transmit Power Risementioning

confidence: 90%

mentioning

confidence: 99%

System-Level Analysis of Closed-Loop Power Control in the Uplink of DS-CDMA Cellular Networks

Mendo¹,

Hernando²

2007

IEEE Trans. Wireless Commun.

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“…The radio link quality requirement will depend on the multipath conditions, UE speed, and block error rate required for each type of connection (see [3] and [21] for more details).…”

Section: Power Allocation For Traffic Channelsmentioning

confidence: 99%

“…where P UE max is the maximum available power at the UE, and the Power Control Headroom (PCH) defined in [21] guarantees that the link quality is above γ UL ji during a given fraction of time.…”

Section: Coverage Probabilitiesmentioning

confidence: 99%

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Network dimensioning and base station on/off switching strategies for sustainable deployments in remote areas

Rubio

del-Olmo

Pascual‐Iserte

et al. 2017

J Wireless Com Network

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This paper provides a methodology for the dimensioning of the access network in remote rural areas, considering the progressive introduction of cellular services in these regions. A 3G small cell (SC) network with one or several carriers deployed at the SC, fed with solar panels and connected to a backhaul with limited capacity is considered for the analysis. Because the backhaul may be inexistent or very expensive (e.g., satellite-based backhaul) the network design pursues the minimization of the required backhaul bandwidth. The required backhaul bandwidth and the required energy units (i.e., the size of the solar panels and the required number of batteries) are then obtained as an output of the dimensioning analysis. Both the backhaul minimization objective and the constraints associated with each of the carriers (low maximum radiated power and low number of users connected simultaneously) require a novel methodology compared to the classical dimensioning techniques. We also develop a procedure for switching on/off carriers in order to minimize the energy consumption without affecting the quality of service (QoS) perceived by the users. This technique allows reducing the required size of the energy units, which directly translates into a cost reduction. In the development of this on/off switching strategy, we first assume perfect knowledge of the traffic profile and later, we develop a robust Bayesian approach to account for possible error modeling in the traffic profile information.

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