RESOURCE ALLOCATION TECHNIQUE WITH GENETIC ALGORITHM IN MIMO-LTE
The rapid of technology development are always keep happening nowadays . Third Generation Partnership Project (3GPP) introduced Long Term Evolution (LTE) to follow the improvement of cellular communication. LTE needed setting of radio resources allocation for all user. This allocation should be d...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/45586 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The rapid of technology development are always keep happening nowadays . Third Generation
Partnership Project (3GPP) introduced Long Term Evolution (LTE) to follow the improvement
of cellular communication. LTE needed setting of radio resources allocation for all user. This
allocation should be done accurately to achieve an optimal system in order to get an equal
high speed of packet data service. Algorithm of allocation radio resources are needed to
achieve an optimal system’s performance. This research simulate resource block to user in
down link way using Genetic Algorithm (GA) with Multiple Input Multiple Output (MIMO)
antenna configuration. The parameters that measured are performance of average capacity
and fairness by using Genetic Algorithm. Condition of channel is raised using CSI (channel
state information) that will be used on resource block allocation. The result of simulation
showed that the addition n user will affect the average capacity. More amount of user will have
smaller average capacity, besides average capacity also affects by the amount of resource
block that allocated in Genetic Algorithm. More resource block will increase the average
capacity |
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