Comparison study of relay selection schemes in long term evolution (LTE) network

In Long Term Evolution Advanced wireless network, relaying is the most vital technology to extend the coverage is of network, develop capacity of the network system Wireless relaying has been recognized as the key technology to extend coverage to improve the throughput of system. A lot of factors ar...

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Bibliographic Details
Main Author: Matthewa, Selina
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:http://eprints.utm.my/id/eprint/48837/1/SelinaMatthewsMFKE2014.pdf
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Summary:In Long Term Evolution Advanced wireless network, relaying is the most vital technology to extend the coverage is of network, develop capacity of the network system Wireless relaying has been recognized as the key technology to extend coverage to improve the throughput of system. A lot of factors are considered in this relaying technology to enhance the throughput such as location of relay, relay selection schemes, relay selection algorithm, and etc. Several of studies are being done on all the possible relay selection schemes and number of algorithm designed. There is no comparison study done, in current literature to compare the centralized and distributed relay selection scheme in the same study. This study investigates the effect of relay in terms of capacity in both centralized and distributed relay for fixed distance and random distance. The performance of the proposed relay placement algorithm is evaluated using numerical simulations. The algorithm of relay selection is based on threshold fixed; SNR in this study, to choose the relay which has an value higher than what is required. Any relay with lesser value is ignored, and the best relay among chosen relay is selected to transmit the signal. For centralized system, this is based on the feedback system which involves Channel State Information (CSI) and for distributed system it is based on the algorithm. This study doesn’t include the latency and overhead constraints caused by CSI.