Providing quality of service in adaptive resource allocation for OFDMA systems

2020 ◽

Vol 10 (5) ◽

pp. 4663

Author(s):

Shivapanchakshari T. G. ◽

H. S. Aravinda

Keyword(s):

Resource Allocation ◽

Performance Enhancement ◽

Smart Antenna ◽

Cross Layer ◽

Adaptive Resource Allocation ◽

Ofdm System ◽

Allocation Mechanism ◽

Adaptive Resource ◽

Resource Allocation Mechanism

The growing usage of wireless services is lacking in providing high-speed data communication in recent times. Hence, many of the modulation techniques are evolved to attain these communication needs. The recent researches have widely considered OFDM technology as the prominent modulation mechanism to fulfill the futuristic needs of wireless communication. The OFDM can bring effective usage of resources, bandwidth, and system performance enhancement in collaboration with the smart antenna and resource allocation mechanism (adaptive). However, the usage of adaptive beamforming with the OFDM leads to complication in the design of medium access layer and which causes a problem in adaptive resource allocation mechanism (ARAM). Hence, the proposed manuscript intends to design an OFDM system by considering different switched beam smart antenna (SBSA) along with the cross-layer adaptive resource allocation (CLARA) and hybrid adaptive array (HAA). In this, various smart antenna mechanism are considered to analyze the quality of service (QoS) and complexity reduction in the OFDM system. In this paper, various SA schemes are used as per the quality of service (QoS) requirement of the different users. The performance analysis is conducted by considering data traffic reduction, bit-rate reduction, and average delay.

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Resource Allocation by Demand Based Optimization and Machine

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.l3934.1081219 ◽

2019 ◽

Vol 8 (12) ◽

pp. 1388-1395

Keyword(s):

Resource Allocation ◽

Channel Allocation ◽

Scheduling Algorithm ◽

Adaptive Resource Allocation ◽

Allocation Process ◽

Challenging Environment ◽

Adaptive Resource ◽

Resource Allocation Process

In real-time multimedia usage the resource allocation for the modern communication is very much needed in-order to overcome certain problems or degradation happening in the communication channels. The quality of the communication is reduced due to the TVWS (Television White Space), variable BER signal requires variable channel allocation procedures and Qos depends on the various applications. These problems in the OFDM should be corrected continuously by keeping track of channel situation so that to provide a long term video streaming in good QoS. The energy distribution for the video is high the application requirement is higher also the occurrence of multiple BER will leads to the challenging environment to control. The main objective of this paper is to enhance a Game theory based algorithm incorporated with demand optimization algorithm and scheduling algorithm for machine learning to take decision in nonlinear space, which results in a system with good channel awareness and an adaptive resource allocation process. The effect of interference due to this procedure is checked and accordingly allocations are done

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