Performance gains using remote control antennas in CDMA and 1xEV-DO networks

Murphy, Chris; Dillon, Matt; Diwan, A.

doi:10.1109/vetecf.2005.1557936

Cited by 5 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[4] and [5] show a method for optimizing coverage and handover in wide-band code division multiple access (WCDMA) via adjustment and minimization of pilot powers. In [6] a simple greedy algorithm is used to optimize RF Parameters in IEEE 802.16e, but this approach is simplified by using and optimizing only a hotspot BS selected each time by the optimizer. This approach may cause degradation in the other spots of the system.…”

Section: Introductionmentioning

confidence: 99%

Use Of Genetic Algorithm In The Optimisation Of The Lte Deployment

Jaloun¹,

Guennoun²,

Elasri³

2011

IJWMN

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Use Of Genetic Algorithm In The Optimisation Of The Lte Deployment

Jaloun¹,

Guennoun²,

Elasri³

2011

IJWMN

View full text Add to dashboard Cite

show abstract

“…Various approximative techniques have been developed that trade evaluation accuracy for efficiency [15,17]. A recent method for swiftly estimating cell performance within optimization schemes is to use an "average snapshot" [18,13] or expected interference coupling [2]. The accuracy of this technique has been tested empirically [17], but not yet analyzed in theory.…”

Section: Introductionmentioning

confidence: 99%

Reconciling theory and practice

Geerdes

Eisenblätter

2007

Proceedings of the 10th ACM Symposium on Modeling, Analysis, and Simulation of Wireless and Mobile Systems

View full text Add to dashboard Cite

The performance evaluation of w-cdma networks is intricate as cells are strongly coupled through interference. Pole equations have been developed as a simple tool to analyze cell capacity. Ample scientific contributions have been made on their basis. In the traditional forms, the pole equations rely on strong assumptions such as homogeneous traffic, uniform users, invariant downlink orthogonality. These assumptions are not met in reality. Hence, the pole equations are typically used during initial network dimensioning only. Actual network (fine-) planning requires a more faithful analysis of individual cell's capacity. Complex analytical analysis or Monte-Carlo simulations are used for this purpose.In this paper, we generalize the pole equations to include inhomogeneous data. The equations can be parametrized in a cell-specific way provided the base station transmit powers are known. This allows to carry over prior results to realistic settings. This is illustrated with by example: Based on the pole equation, we investigate the accuracy of "average snapshot" approximations for downlink transmit powers used in state-of-the-art network optimization schemes. We confirm that the analytical insights apply to practice-relevant settings. This is done on the basis of results from detailed Monte-Carlo simulation on realistic datasets.

show abstract