Radio Resource Allocation Schemes for OFDM based 4G Wireless Networks
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Abstract
Radio resource management attracts great attention while utilizing available
newlineresources to provide users with enhanced system throughput. Radio resources
newlinemanagement includes transmission power management, mobility management, and
newlinescheduling of radio resources.
newlineFor GSM, implementation of Fixed Channel Allocation (FCA) is discussed. A
newlinepathloss model used for this system is developed and it is used for implementation of
newlineFCA. A hypothesis for simulation model has been derived. The performance
newlineimprovement in call dropping probability can be achieved by handling handoff calls
newlinethrough prioritizing. For evaluation of the performance of FCA and DCA, the blocking
newlineand dropping probabilities are calculated for reservation of channels for handoff calls.
newlineIn case of CDMA, there is constant growth in number of mobile users and also cell
newlinesize is minimized to increase system capacity. Handoff rate is increased due to reduction
newlinein cell size. To overcome this problem, a new scheme, mutual frequency assignment
newline(MFA) is proposed after studying different schemes. Efficient use of radio resources is
newlinevery important, utilization of all resources have to be maximized. This is achieved using
newlineMFA.
newlineThe resource allocations in both the primary and the secondary networks is jointly
newlineconsidered, and then study of optimum transmission power and rate allocations for
newlinesupporting best effort traffic in the CRN is done. Design of Interference Model for
newlineScheduling Algorithm in Cognitive Radio Networks (CRNs) is presented. A method is
newlineproposed to compute throughput for optimal scheduling problem with an objective to
newlineachieve proportional fairness (PF) of the long term average transmission rates among
newlinedifferent links, subject to the interference constraints within the cognitive network and
newlineimposed by the primary network.An intelligent radio resource management is at the heart of LTE to make it a robust
newlinetechnology to meet the broadband mobility needs of upcoming years.