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Presented by Hermes Y.H. Liu

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1 Presented by Hermes Y.H. Liu
Minimum-Cost QoS-Constrained Deployment and Routing Policies for Wireless Relay Networks of Maximal Ratio Combining Capacities 考慮服務品質限制之具最大比率合成能力 中繼站無線網路成本最小化建置與路由策略 Advisor: Lin Yeong-Sung, Ph.D. Chu Kuo-Chung, Ph.D. Presented by Hermes Y.H. Liu 2018/11/24 OPLab, IM, NTU

2 Agenda Introduction and Motivation Problem Description
Problem Formulation 2018/11/24 OPLab, IM, NTU

3 Introduction and Motivation
2018/11/24 OPLab, IM, NTU

4 Introduction Relay technology has been used widely in wireless communication, such as IEEE j, IEEE s, and seed concept in 3GPP Advantages of relay: 1. radio range extension 2. overcome shadow fading 3. reduce infrastructure deployment costs 4. enhance capacity 5. reduce outage probability 2018/11/24 OPLab, IM, NTU

5 Relay Figure: Left: tree topology in relay network; Right: mesh topology in mesh network 2018/11/24 OPLab, IM, NTU

6 Relay (contd.) Relays are designed to improve the coverage of a BS and overcome the shadows caused by obstacles. Figure: City scenario of relays deployment with one BS 2018/11/24 OPLab, IM, NTU

7 Relay (contd.) three types of relay protocols:
1. Amplify-and-Forward : Relays act as analog repeaters by retransmitting an amplified version of their received signals. The noise is amplified as well. 2. Decode-and-Forward: Relays attempt to decode, regenerate and retransmit the same information from the original source, the propagating decoding errors may occur. 3. Decode-and-Reencode: Relays attempt to decode, reencode the received signals with codewords that are different from the received codewords. Again, there is the probability of error propagation. 2018/11/24 OPLab, IM, NTU

8 IEEE j IEEE j is now a developing specification established by IEEE j task group the enhancement of original /802.16e-2005 Compatible to the legacy standard A relay station (RS) will be recognized as a base station (BS) by the mobile station (MSs) for the transparency reasons 2018/11/24 OPLab, IM, NTU

9 IEEE j (contd.) 2018/11/24 OPLab, IM, NTU

10 Diversity Techniques Frequency diversity: transmitting or receiving the signal at different frequencies; Time diversity: transmitting or receiving the signal at different times; Space diversity: transmitting or receiving the signal at different locations; Polarization diversity: transmitting or receiving the signal with different polarizations. 2018/11/24 OPLab, IM, NTU

11 Cooperative Diversity
Cooperative diversity is a relatively new class of spatial diversity techniques that is enabled by relaying to improve the reliability of communications in terms of, for example, outage probability, or symbol-or bit-error probability, for a given transmission rate 2018/11/24 OPLab, IM, NTU

12 Diversity Signal-processing Techniques
selection diversity (SD) equal gain combining (EGC) maximal ratio combining (MRC) 2018/11/24 OPLab, IM, NTU

13 Maximal Ratio Combining (MRC)
Figure: Maximal ratio combining 2018/11/24 OPLab, IM, NTU

14 Motivation Figure: Left: single-stage concept; Right: multistage concept 2018/11/24 OPLab, IM, NTU

15 Motivation Allow multiple source nodes jointly transmit one single information if the signal strength is not robust enough in the link between one source node to the destination The routing policy is no longer a single path but with more complex multicast-tree algorithms 2018/11/24 OPLab, IM, NTU

16 Problem Description 2018/11/24 OPLab, IM, NTU

17 Problem Description Figure: Network separations with several BSs
2018/11/24 OPLab, IM, NTU

18 Problem Description (contd.)
Figure: DL transmission tree and one OD pair routing subtree 2018/11/24 OPLab, IM, NTU

19 Problem Description (contd.)
Figure: UL transmission tree and one OD pair routing subtree 2018/11/24 OPLab, IM, NTU

20 Problem Description (contd.)
In this paper, we try to find a near optimal relays development policy to minimize the total development costs; meanwhile, to maintain both DL and UL spanning trees and using multicast-tree based routing algorithm to ensure the bit error probability (BEP) and data rate requirements of each mobile cluster must be satisfied. 2018/11/24 OPLab, IM, NTU

21 Problem Formulation 2018/11/24 OPLab, IM, NTU

22 Problem Formulation Assumption:
The relaying protocol in this model is Decode-and-Forward Each mobile cluster (MC) must home to either a BS or relay(s) The relays selected by one MC must associate with the same BS The routing path of each OD pair in DL (UL) is a subtree of the DL (UL) spanning tree The spatial diversity gains are represented by the aggregate SNRs with MRC techniques The BEP of a transmission is measured by the receiving SNR value The aggregate BEPs of the destination are the summation of BEPs of each node on the routing subtree The numbers of links of each path adopted by each MC are assumed to be equal to ensure the MRC is achievable within limited delay 2018/11/24 OPLab, IM, NTU

23 Problem Formulation (contd.)
Objective: To minimize the total cost of wireless relay network deployment Subject to: Relay selection constraints Nodal capacity constraints Cooperative relaying constraints in DL and UL Routing constraints in DL and UL Link capacity constraints in DL and UL 2018/11/24 OPLab, IM, NTU

24 Problem Formulation (contd.)
To determine: Whether or not a location should be selected to build a relay The DL and UL spanning trees The cooperative relays of each MC The subtree , which is on the spanning tree, selected by each MC 2018/11/24 OPLab, IM, NTU

25 Problem Formulation (contd.)
2018/11/24 OPLab, IM, NTU

26 Problem Formulation (contd.)
2018/11/24 OPLab, IM, NTU

27 Problem Formulation (contd.)
2018/11/24 OPLab, IM, NTU

28 Problem Formulation (contd.)
2018/11/24 OPLab, IM, NTU

29 Problem Formulation (contd.)
2018/11/24 OPLab, IM, NTU

30 Problem Formulation (contd.)
2018/11/24 OPLab, IM, NTU

31 Objective function: (IP 1) Subject to: (General Constraint)

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33 (DL Constraint)

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38 (UL Constraint)

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43 Optimal Problem (LR):

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57 Thanks for Your Listening
2018/11/24 OPLab, IM, NTU


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