Table of Contents Introduction 2 Discussion 2 Analysis 4 Up-linking Packet Scheduling in NS2 5 Mobility 7 Conclusion 8 Reference 9 Introduction NS2 use the SC FDMA radio access technology for the handling of the up-linking transmission. For this, the user needs to work on the frequency domain with the scheduling of the uplink algorithm. This includes the matrix for the Packet Scheduler for an effective resource allocation along with handling the performance. There are channel dependent and the proportional fairness patterns to evaluate the channels. With this, there is a use of the NS2 for the analysis of the performance. The NS2 demands for the longer-term evolution which has the increasing demand for a better QoS and the bandwidth which is able to consume the multimedia applications. the standards for the system architecture evolution are based on the frequency division multiplex with the setup of the 3GPP. (Matinrad, 2011). The CelPlanner is considered to be the complete and the most integrated suite which has different software tools mainly to address the Radio Frequency planning as well as the deskinning process. A complete analysis includes the optimisation of the wireless communication system with the feature rich tools that have been able to provide the accuracy, integration, optimisation and cost effectiveness in an effective manner. For this, we have been working on the following scenario: North 32o, 25’, 20.0″ N; South 32o, 17’, 01.0″ N; East 093o, 41’, 49.5″ W; West 093o, 54’, 48.8″ W. The basis has been for the 4G NS2 technology with the network of the NS2 eNB (Base-stations). The network stations are done through NS2. Discussion The focus has been on the topography which includes the details of the project with the base station simulation. The parameters include the topography and the morphology database with the hold of the frequency table. There have been based stations which are able to cover the antenna height above the morphology. The setup is based on handling the terminal configuration with the proper height of the antenna which is set for about 1.5m. the configurations of the radio is based on the bandwidth which has 10 MHz frequency with the modulation schemes based on QPSK. (Korowajczuk, 2016). The service configuration is based on the handling the required bit error rate with the mobility which is able to handle the patterns of the environment configuration with the static mobility. The radio base stations have a sector, prediction resolution, radius and antenna power with the maximum height and the channel resource. With the proper service configuration, there is a proper setup of the system which is able to hold to the modulation schemes and the other coding rates for the modulation. Hence, with this, there has been an environment configuration with the required bit error rate and the service type. The focus has been on the different features which includes the integrated GIS platform with the multi-resolution 3D models for the topography and the morphology. The pattern includes the higher defined pixel basis with the image layers that have been set in the sub-regions along with the multi-traffic information. As per the propagation model, there is a need to consider the multi morphology which is based on the calibration of the parameters with the increased reusability of the propagation system. (Chariete et al., 2015). This is mainly found in the designing area where the calibration is based on the approach requires the less driving test. The RF propagation parameters includes re-usability of the propagation parameters that has been for the designing area along with highest prorogation parameters. This allow the markets of the model that there will be no drive test data. The CelPlan has a unique model for the (k2D and K3D) which provides a best result in the industry for the different higher resolution database. There has been integration of the higher resolution of the GIS which is not available. The five-intercept microcell model includes the LOS, TCA designs. Analysis As per the prorogation analysis, there have been automatic calculation of the service coverage area that has been based on the different service requirements. There is a switching data, measured data performance with the Interference Matrix generation which includes the link analysis. A complete unique network performance is able to hold the entire networking performance with the QoS which is for the reporting generation along with fading predication mainly on the pixel basis. The report is based on the plotting of the best directions which will allow the display as per the automatic selection of the paper for the improved effectiveness. The interface is for the office Information System which includes the increased efficiency patterns for the operations with the enhancement of the demographic analysis. A complete multilayer analysis is compatible to hold the loading of simulation with the use of Monte Carlo technique which are for the considerations of the power control support as well as the other automatic capacity planning. (de Brito et al., 2015). This has been based on the demands and the coverage analysis which is for the verified demography as per the offered services. The enhanced traffic and the demography also include the system goals with the specific, verified and the corrected patterns. This includes the Native Windows support with the centralised and the distributed database where there has been a proper field access to data. The operations with the compressed files have been able to hold the complete solution of the software with the internal specialised GIS and the RDB which is able to handle the generation and the analysis. Up-linking Packet Scheduling in NS2 The NS2 packet schedule has been for the controlled entity of the MAC layer which mainly deals with the controlling and allocation of the RBs to the UEs of the transmission time interval of 1s. For making the scheduling decisions on the per-user basis, there is a need to handle the flow of data with the radio resource management. The functionalities are based on the channel quality of UE on the RB frequency with the QoS requirements.With the scheduling of the retransmissions, the link adaptation unit provides the proper support modulation and the coding scheme. With this, the channel quality of the UEs is improvement with the data for the transmission to serve the eNodeB. Through the use of the messages of signalling, the sounding reference signal and the buffer status report is for allowing the eNodeB for the monitoring of the different channels. (Kaddour et al., 2015).The information through the channel state I am generating the metric value with the creation of the channel condition matrix. Figure: Channel Conditions and Buffer Status Matrix With this, the NS2 packet scheduler is seen to be of the time domain pattern for the selection of the scheduling based on the sessions that requires QoS. With this, there is a handling of the frequency domain for the allocation of the RBs for ensuring the allocation for the UE. The Channel Dependent Vs Proportional Fairness Paradigm This is for the quality of UEs for the RB frequency which is mainly considered when there is an allocation of the matrix. This sets a higher channel quality with the assigned resources. The major approach has been to solve the problem of the proportional fairness paradigms which includes the allocation of the resources to the users based on the ratio of the channel condition. This, as a result, includes the users who have a lower channel with the allocation of the resources. (Wang et al., 2015). The Uplink Scheduling Algorithm has been for the Channel Dependent matrix and the proportional fairness matrix that has been important for the allocation purpose. This includes the higher metric values for the serving of the UEs. The Recursive Maximum Expansion is based on handling the channel dependent matrix which has been for the channel dependent matrix. This completely differs from the FME through the performance set for the recursive searching. There have been expansions for the maximum assigning of the values which is for the setup of the corresponding UE and the expansion allocation with the left hand and the right-hand patterns. The UE is for the idle node where there is recurring of the algorithm. This is even able to terminate when there is allocation of the RBs. Through this, the RME is able to keep the high search of the metric values with the idling of the UE/RB metrics that has been belonging to the time where there is a need for the allocations which is completely adjacent to the RB where there is nothing in between for the allocation. With the allocation, the algorithm of the RB is easily allocated. Mobility The mobility of the UE is for handling the channelling conditions where the condition generally degrades mainly for the resources of the services. The services are interrupted through the frictional resources with the simulation which involves the distribution process in and around the eNodeB structure with the user close to the eNodeB. There have been consecutive patterns for handling the UE denial of the resources for the 400 ms. With this, the major assumptions are based on handling the n UEs with the problems. (Wang et al., 2015). Through the dynamic feature handling process, the UE is able to work on the running of the services with the short period of time and disconnected factors. The major consideration and the favourable condition are about the longer service rate which starts at 0 and then finish at the different lower value. Conclusion With the lower channel quality and the favourable higher long-term service rate, the groups are found to be staved with the instantaneous channel rate with the long-term service ratio. This is found to be lower than the UE which has been repeatedly admitting. This helps in handling the speed of the users with the lower fairness index where the patterns are set for providing the QoS to the users with the FD packet scheduler with the allocation of the resources. (Khdir et al., 2016). The patterns are important where the PF algorithms are important with the increased number of the uses to handle the Riding Peaks which provide the better results in the metrics through the use of the best algorithm Reference Matinrad, A. (2011). Design & development of an HSPA system simulator for network planning. Kaddour, F. Z., Vivier, E., Mroueh, L., Pischella, M., & Martins, P. (2015). Green opportunistic and efficient resource block allocation algorithm for NS2 uplink networks. IEEE Transactions on Vehicular Technology, 64(10), 4537-4550. Wang, D., & Zhang, W. (2015). Improved least squares identification algorithm for multivariable Hammerstein systems. Journal of the Franklin Institute, 352(11), 5292-5307. Wang, D., & Gao, Y. (2015). Recursive maximum likelihood identification method for a multivariable controlled autoregressive moving average system.IMA Journal of Mathematical Control and Information, dnv021. Khdhir, R., Mnif, K., Ali, K. B., & Kammoun, L. (2016). Allocation Algorithm based on CAC Scheme for NS2 Network. International Journal of Computer Science and Network Security (IJCSNS), 16(6), 140.
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