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Energy Efficient Video Transmission using Cooperation of WLAN and LTE networks

Energy Efficient Video Transmission using Cooperation of WLAN and LTE networks. Maryam Hamidirad mhamdirad@sfu.ca CMPT 820. Outine. Introduction Power Counting Mechanism Proposed Algorithm Results Conclusion Future Work. Introduction. Multimedia Broadcast/Multicast Service (MBMS)

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Energy Efficient Video Transmission using Cooperation of WLAN and LTE networks

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  1. Energy Efficient Video Transmission using Cooperation of WLAN and LTE networks MaryamHamidirad mhamdirad@sfu.ca CMPT 820

  2. Outine • Introduction • Power Counting Mechanism • Proposed Algorithm • Results • Conclusion • Future Work

  3. Introduction • Multimedia Broadcast/Multicast Service (MBMS) • It provides an efficient way to broadcast data to multiple users in cellular networks • It has been realized by third generation partnership project (3GPP)

  4. Introduction(cntd.) • MBMS has two modes • Point to Point (PTP) • one DCH established for each UE in the Cell • Point to Multipoint (PTM) • one FACH covering the whole Cell and shared by all the UEs within

  5. Introduction(cntd.) PtP mode using DCH PtM mode using FACH

  6. Power Counting Mechanism • Parameters retrieval • Distance to base station • Number of users • QOS requirements • Power level computation for FACH and DCH • Transport channel with minimum power selected • Check parameters to adapt to system dynamics

  7. Proposed Algorithm • Define ten ranges for each cell • For each range compute the power needed to cover the range using FACH • Cluster remaining nodes • Compute the power to send to cluster heads • Find the minimum power of all ranges

  8. Proposed Algorithm (cntd.) • Cluster nodes based on • : Distance of the node to base station  • : Number of nodes lying in the transmission range of the node • :The extent to which the cluster head lays in the same range related to other cluster heads.

  9. Proposed Solution (cntd.)

  10. Results • We have run power counting mechanism and our clustering algorithm • Using MATLAB as a simulation tool • Varying users population of 20 to 200 with uniform distribution • Both scenarios has been tested 1000 times • Run clustering algorithm for varying weights changing 0.1 each time

  11. Results • For user population more than 30 , clustering algorithm will outperform current power counting mechanism as much as 20% • Increases the threshold to switch to FACHonly mode which uses high power • Current Power Counting Mechanism is 60 • Using Clustering algorithm is 140

  12. Results (cntd.)

  13. Conclusion • We have proposed clustering algorithm based on parameters that consider base station power • Clustering decreases the number of users that should receive MBMS from base station • Cooperation of WLAN and LTE improves base station power saving as much as 20%.

  14. Future Work • Using more power for user population less than 30 is an unresolved issue. • Using different users distribution like Gaussian to test the results. • Switching cluster heads periodically to guarantee the fairness of our approach • Using NS-3 as a network simulator to verify the results we get using MATLAB

  15. Thank You

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