Blind channel estimation for Multiple-Input Multiple-Output system using Constant Modulus Algorithm

Kanmani, M.; Kannan, M. Rajesh

doi:10.1016/j.compeleceng.2015.03.033

Cited by 3 publications

(1 citation statement)

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“…By setting the few thresholds, this proposed work fails to estimate the user demand which increases the loss ratio and also reduces the throughput. Kanmani et al [24] introduced blind channel estimation algorithm for reducing the cost value and Bit Error Rate in OFDMA. Generally, several channel estimation algorithms function without having the channel knowledge and its information which lead to resource damage.…”

Section: Related Workmentioning

confidence: 99%

RSA – QoS: A Resource Loss Aware Scheduling Algorithm for Enhancing the Quality of Service in Mobile Networks

2018

KSII TIIS

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Adaptive Multi-Rate Codec is one of the codecs which is used for making voice calls. It helps to connect people who are scattered in various geographical areas. It adjusts its bit-rate according to the user's channel conditions. It plays a vital role in providing an improved speech quality of voice connection in Long Term Evolution (LTE). There are some constraints which need to be addressed in providing this service profitably. Quality of Service (QoS) is the dominant mechanism which determines the quality of the speech in communication. On several occasions, number of users are trying to access the same channel simultaneously by standing in a particular region for a longer period of time. It refers to Multiuser channel sharing problem which leads to resource loss very often. The main aim of this paper is to develop a novel RSA-QoS scheduling algorithm for reducing the Resource Loss Ratio. Eventually, it increases the throughput.The simulation result shows that the RSA-QoS increases the number of users for accessing the resources better than the existing algorithms in terms of resource loss and throughput. Ultimately, it enhances the QoS in Mobile Networks.

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Section: Related Workmentioning

confidence: 99%