Capacity and Handover Analysis in Mobile WiMAX

Kacerginskis, E.; Narbutaite, Lina

doi:10.5755/j01.eee.119.3.1357

Cited by 5 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first one is linearly increasing users' density (γ = 3, R = 20 km, wmax = 40 W, gR = 6, g0 = 1, numerical example 1, case 2) for N = 16 channels and offered traffic A = 12 Erl. The second one is exponentially decreasing users' density from the centre to the edge of cell, (γ = 3, R = 20 km, wmax = 40 W, users' density according to (12), numerical example 2) also for N = 16 channels and offered traffic A = 12 Erl.…”

Section: Cdfs Of the Base Station Output Powermentioning

confidence: 99%

“…that the number of users who get out the cell is statistically equal to the number of users who enter the cell. It means it is supposed that traffic intensity, caused by handover, is λH = 0, [12].…”

Section: Model Designations and Assumptionsmentioning

confidence: 99%

“…The mean power of one GSM channel during the connection in the case γ = 3, R = 20 km, wmax = 40 W and exponential decreasing relative users' density from the centre to the periphery of the cell, (12), is wm = 11.02 W.…”

Section: Numerical Examplesmentioning

confidence: 99%

“…10. The first one is γ = 3, R = 20 km, wmax = 40 W, g(x) according to (12), curve WBm1. The second one refers to the linearly increasing users' density from the centre to the periphery of the cell, where is γ = 3, R =20 km, wmax = 40 W, g(x), gR = 6, g0 = 1, curve WBm2.…”

Section: Numerical Examplesmentioning

confidence: 99%

See 3 more Smart Citations

Influence of Users’ Density on the Mean Base Station Output Power

Mileusnic

Popović

Lebl

et al. 2014

ElAEE

View full text Add to dashboard Cite

In this paper we developed the method for determination of output power of base station as the function of distribution of users' density in one GSM cell. The method consists of several steps: determination of the function of density distribution (PDF) and function of distribution (CDF) of distance between user and base station, finding PDF of output power of one GSM channel. In order to prove calculated results, we developed the program for simulating seizure and release channels in one GSM cell. It is necessary that inverse function of CDF of distance between user and base station exists in order to implement this program. This simulation program can be used to estimate CDF of total emission power of base station. Calculation of CDF of total emission power is, except in simplest cases, pretty complicate.

show abstract

Section: Cdfs Of the Base Station Output Powermentioning

confidence: 99%

Section: Model Designations and Assumptionsmentioning

confidence: 99%

Section: Numerical Examplesmentioning

confidence: 99%

Section: Numerical Examplesmentioning

confidence: 99%

See 2 more Smart Citations

Influence of Users’ Density on the Mean Base Station Output Power

Mileusnic

Popović

Lebl

et al. 2014

ElAEE

View full text Add to dashboard Cite

show abstract

“…RN fits perfectly to improve the SINR at the cell boundary, thereby increasing capacity, can possibly increase the number of accepted users. However, the RN and BS are located at a certain distance from each other, in which the SINR at UE from the relay link is equal to the SINR for direct link, where the user is in a handover case [15]. The received signal at UE from BS via direct link is equal to the signal from RN via relay link at certain location [9].…”

mentioning

confidence: 99%

Optimizing Power and Mitigating Interference in LTE-A Cellular Networks through Optimum Relay Location

Aldhaibani

Yahya

Ahmad

2014

ElAEE

View full text Add to dashboard Cite

In this paper, we propose new scheme for an optimum location for Relay Node (RN) in LTE-A cellular network to enhance the capacity at cell edge based on modified Shannon capacity for LTE networks. The proposed approach mitigates interferences between the nodes and ensures optimum utilization of transmitted power. In addition, this papers the mathematical derivation of optimal number of RNs per cell to prevent the overlapping between neighbouring RNs meanwhile providing the best coverage. Mathematical results are validated by Simulation results and indicate an improvement in capacity for users at the cell edge from 0.6 b/s/Hz to 1.45 b/s/Hz and 40% increment from all cell capacity. Moreover, a gain about 8 dBm and 25 dBm is observed for users at the cell edge for uplink and downlink in the received signal respectively. It has been concluded from the numerical analysis which is conducted on limited interferences for all nodes (in-band and out-band) provides simplicity and ease in implementation by the RF planning designers.

show abstract