The increase in GSM mobile station (MS) density, without a corresponding increase in radio channel resource capacity, reduces the quality of service (QoS) standard provided to users. Attempts to improve the QoS standard usually leads to the creation of new base stations (BS) with the consequent reduction in the existing cell sizes. Although, the available network capacity is increased, this happens at the expense of increased numbers of call handoversSuch increase is usually accommodated by resource reservation. How well the reservation is made greatly influences the GSM network quality of service (QoS) and the general BS resource utilization. This work presents a radio channel resource reservation technique for GSM handover calls. A typical GSM network architecture was modeled using an integrated modeling technique in a MATLAB block oriented simulation environment. The analytical part of the model was developed using the Markov chain principle and validated using the existing popular Lee's queuing model. The relationships between the handover call blocking probability, fresh call blocking probability, the number of resources to be reserved and traffic intensity were established. Simulation results were analyzed and a method of determining the optimum number of resources that can be reserved for handover calls for a given BS resource capacity was presented.
This work presents an alternative approach to the computation of the optimum reservations to be made in a GSM This work presents an alternative approach to the computation of the optimum reservations to be made in a GSM This work presents an alternative approach to the computation of the optimum reservations to be made in a GSM This work presents an alternative approach to the computation of the optimum reservations to be made in a GSM network for handover call requests. Prioritizing network for handover call requests. Prioritizing network for handover call requests. Prioritizing network for handover call requests. Prioritizing so as to guarantee seamless connection. Successful handover enhances the quality of service (QoS) of a network as so as to guarantee seamless connection. Successful handover enhances the quality of service (QoS) of a network as so as to guarantee seamless connection. Successful handover enhances the quality of service (QoS) of a network as so as to guarantee seamless connection. Successful handover enhances the quality of service (QoS) of a network as the later is directly dependent on call continuity. In a previous analysis, the later is directly dependent on call continuity. In a previous analysis, the later is directly dependent on call continuity. In a previous analysis, the later is directly dependent on call continuity. In a previous analysis, reservations to be made was determined using the Gaussian Elimination method which had limitations because the reservations to be made was determined using the Gaussian Elimination method which had limitations because the reservations to be made was determined using the Gaussian Elimination method which had limitations because the reservations to be made was determined using the Gaussian Elimination method which had limitations because the power series used only considered the second order. Also, the set of equations to be solved was reduced to three power series used only considered the second order. Also, the set of equations to be solved was reduced to three power series used only considered the second order. Also, the set of equations to be solved was reduced to three power series used only considered the second order. Also, the set of equations to be solved was reduced to three t t t thereby giving a result that does not quite represent the general system. In this work, the logarithmic approach is hereby giving a result that does not quite represent the general system. In this work, the logarithmic approach is hereby giving a result that does not quite represent the general system. In this work, the logarithmic approach is hereby giving a result that does not quite represent the general system. In this work, the logarithmic approach is adopted which captures the total system capacity under test. A more reliable function for the determination of adopted which captures the total system capacity under test. A more reliable function for the determination of adopted which captures the total system capacity under test. A more reliable function f...
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