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Backhaul and performance optimality of joint processing schemes over the cluster area

In this paper, four Joint Processing (JP) schemes have been discussed and evaluated for Dynamic Point Selection (DPS) as well as Joint Transmission (JT) over a cluster of evolved Node B (eNBs) using WINNER II channel model developed for LTE-A. The purpose of this study is developing a cooperative LT...

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Main Authors: Kousha, Mohammad, Hashim, Fazirulhisyam
Format: Conference or Workshop Item
Language:English
Published: IEEE 2014
Online Access:http://psasir.upm.edu.my/id/eprint/48188/1/Backhaul%20and%20performance%20optimality%20of%20joint%20processing%20schemes%20over%20the%20cluster%20area.pdf
http://psasir.upm.edu.my/id/eprint/48188/
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spelling my.upm.eprints.481882016-08-04T05:17:01Z http://psasir.upm.edu.my/id/eprint/48188/ Backhaul and performance optimality of joint processing schemes over the cluster area Kousha, Mohammad Hashim, Fazirulhisyam In this paper, four Joint Processing (JP) schemes have been discussed and evaluated for Dynamic Point Selection (DPS) as well as Joint Transmission (JT) over a cluster of evolved Node B (eNBs) using WINNER II channel model developed for LTE-A. The purpose of this study is developing a cooperative LTE scenario in a fixed cluster of 3 eNBs in order to evaluate and compare the performance of these schemes for both centralized and partial cooperation. It would give us a good insight about choosing the optimum scheme which provides desired performance while putting reasonable amount of burden on the backhaul of the system. Moreover, the location dependency of JP is proved over the cluster area. As a final goal, in real-world networks, exploiting a dynamic joint processing scheme selection strategy would lead to the best performance taking care of backhaul limits. It has been proved through Simulations that, centralized joint processing has better performance for both joint transmission and dynamic point selection in comparison with the partial joint processing. Also, Dynamic point selection schemes follow the performance trend of joint transmission with less performance and lower backhaul load. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48188/1/Backhaul%20and%20performance%20optimality%20of%20joint%20processing%20schemes%20over%20the%20cluster%20area.pdf Kousha, Mohammad and Hashim, Fazirulhisyam (2014) Backhaul and performance optimality of joint processing schemes over the cluster area. In: 2014 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE 2014), 7-8 Apr. 2014, Penang, Malaysia. (pp. 121-125). 10.1109/ISCAIE.2014.7010222
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In this paper, four Joint Processing (JP) schemes have been discussed and evaluated for Dynamic Point Selection (DPS) as well as Joint Transmission (JT) over a cluster of evolved Node B (eNBs) using WINNER II channel model developed for LTE-A. The purpose of this study is developing a cooperative LTE scenario in a fixed cluster of 3 eNBs in order to evaluate and compare the performance of these schemes for both centralized and partial cooperation. It would give us a good insight about choosing the optimum scheme which provides desired performance while putting reasonable amount of burden on the backhaul of the system. Moreover, the location dependency of JP is proved over the cluster area. As a final goal, in real-world networks, exploiting a dynamic joint processing scheme selection strategy would lead to the best performance taking care of backhaul limits. It has been proved through Simulations that, centralized joint processing has better performance for both joint transmission and dynamic point selection in comparison with the partial joint processing. Also, Dynamic point selection schemes follow the performance trend of joint transmission with less performance and lower backhaul load.
format Conference or Workshop Item
author Kousha, Mohammad
Hashim, Fazirulhisyam
spellingShingle Kousha, Mohammad
Hashim, Fazirulhisyam
Backhaul and performance optimality of joint processing schemes over the cluster area
author_facet Kousha, Mohammad
Hashim, Fazirulhisyam
author_sort Kousha, Mohammad
title Backhaul and performance optimality of joint processing schemes over the cluster area
title_short Backhaul and performance optimality of joint processing schemes over the cluster area
title_full Backhaul and performance optimality of joint processing schemes over the cluster area
title_fullStr Backhaul and performance optimality of joint processing schemes over the cluster area
title_full_unstemmed Backhaul and performance optimality of joint processing schemes over the cluster area
title_sort backhaul and performance optimality of joint processing schemes over the cluster area
publisher IEEE
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/48188/1/Backhaul%20and%20performance%20optimality%20of%20joint%20processing%20schemes%20over%20the%20cluster%20area.pdf
http://psasir.upm.edu.my/id/eprint/48188/
_version_ 1643834100587429888
score 13.211869

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