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Page 1: Channel Gain Survey

Channel gain survey

報告者 : 李杰修指導教授 : 劉宏煥

Page 2: Channel Gain Survey

References Ki-Dong Lee and Victor C. M. Leung, “capacity planning for group-mobile user in OFDMA

wireless networks,” EURASIP Journal. Wireless Communications and Networking, vol. 2006, pp. 1-12.

Zhu ji, K.j. Ray Liu, “Fair Multiuser channel allocation for OFDMA Networks Using Nash Bargaining Solutions and Coalitions,” IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53 NO. 8, AUGUST 2005.

Seong Taek Chung, Andrea J. Goldsmith, “Degrees of Freedom in Adaptive Modulation : A Unified View,” IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 49 NO. 9,

SEPTEMBER 2001.

112/04/13 2

Page 3: Channel Gain Survey

Outline

• Introduction• System model

– Cost function– Parameter matrix– Bit-error rate(BER) – Transmission rate

• Simulation result• Conclusion && future work 112/04/13 3

Page 4: Channel Gain Survey

Introduction

Planned admission capacity should be adjust with channel gain

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Page 5: Channel Gain Survey

Introduction(cont)

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Depend on channel gain choose multi-subcarrier for multi-user

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Cost function

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K : user numberN : subcarrier number

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Cost function(cont)• i user transmission rate

• Subcarrier-assignment matrix [A]ij = a ij (i user, j subcarrier)

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i : user j : subcarrierN: subcarrier number

Page 8: Channel Gain Survey

Bit-error rate(BER) of MQAM

ith user SNR at jth subcarrier P : power G : channel gain σ : noise power

Bit-error rate(BER) of MQAM C1 = 0.2 C2 = 1.5

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2

ij

ij

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Transmission rate

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ij

W :Subcarrier bandwidth

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Simulation result

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Simulation result(cont)

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Simulation result(cont)

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Page 13: Channel Gain Survey

Average rate per connection

• Achievable rate of user j using subcarrier i

• Average rate per connection when y connections are ongoing as follows

PGa(WC ijij

ij 22 1log

)P(y/cGa(W

y

CR(y)

22 1log

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Page 14: Channel Gain Survey

Conclusions

• We need “transmission rate” to planned admission control scheme

• “Channel gain” is the necessary parameter for compute transmission rate

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Page 15: Channel Gain Survey

Future work

• Channel gain – flat Rayleigh fading model– Jakes model

• Autocorrelation channel gain

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