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1 Planning Base Station and Relay Station Locations in IEEE 802.16j Multi-hop Relay Networks Yang Yu, Seán Murphy, Liam Murphy Department of Computer Science.

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Presentation on theme: "1 Planning Base Station and Relay Station Locations in IEEE 802.16j Multi-hop Relay Networks Yang Yu, Seán Murphy, Liam Murphy Department of Computer Science."— Presentation transcript:

1 1 Planning Base Station and Relay Station Locations in IEEE 802.16j Multi-hop Relay Networks Yang Yu, Seán Murphy, Liam Murphy Department of Computer Science and Informatics University College Dublin, Ireland IEEE CCNC 2008

2 2 Outline  Introduction  Planning Model  Problem Formulation  Simulation  Conclusion

3 3 Introduction

4 4  Relays can be developed at significantly lower cost than Base Stations (BSs)  While 3G network planning has been well studied, the base radio technology on which it is based differs from that of 802.16

5 5 Goal  To determine the optimal placement of BSs and Relay Stations (RSs) given the following : a set of candidate sites user demand cost information

6 6 Planning Model  The following inputs are assumed: a set of candidate BS and RS sites user demand, modelled by a set of discrete Test Points (TPs) a suitable propagation model a set of costs associated with BS and RS the multihop concept is limited to nodes which are at most two hops from the BS  SSs can connect to an RS which is connected to the BS, or they can connect directly to the BS

7 7 Problem Formulation _ Definitions

8 8 Propagation factor of the radio link between TP i and candidate site of BS j; Propagation factor of the radio link between TP i and candidate site of RS j; Propagation factor of the radio link between candidate site of RS i and candidate site of BS j

9 9 Problem Formulation _ (1)

10 10 Problem Formulation _ (2) Cost of BSCost of RS TP to BS TP to RSRS to BS

11 11  This problem can be solved by using the branch and bound algorithm  It’s still a NP-Hard Problem  So more constrains is to reduce the problem state space Problem Formulation _ (3)state space reduction

12 12 Problem Formulation _ (3)state space reduction

13 13 Simulation_ parameter(1)  The size of area is 3km * 3km  The locations of each BSs, RSs and TPs is chosen randomly   BS cost is random

14 14 20 candidate BSs, 60 candidate RSs and 200 TPs 10 BSs are selected with 36 RSs

15 15 Simulation_ (2) Calculation time when three parameters scaling in the mean time The numbers of BSs are varied The numbers of RSs are 3 times The numbers of TPs are 10 times

16 16 The numbers of BSs is scaling The numbers of RSs are 90 The numbers of TPs are 300 Simulation_ (3) Calculation time when only the number of BS is scaling

17 17 Simulation_ (4) Calculation time when only the number of RS is scaling The numbers of BSs are 30 The numbers of RSs is scaling The numbers of TPs are 300 Number of RSs

18 18 Simulation_ (5) Calculation time when only the number of TP is scaling The numbers of BSs are 30 The numbers of RSs are 90 The numbers of TPs is scaling Number of TPs

19 19 Simulation_ (6) Comparison of the calculation time, with and without the additional constraints

20 20 Conclusions  The proposed model is for planning 802.16- based relay networks  An integer programming formulation was developed  The results show that the standard branch and bound algorithm can find optimal solutions

21 21 Thank you~


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