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Pricing and Power Control in a Multicell Wireless Data Network

Pricing and Power Control in a Multicell Wireless Data Network. Po Yu Chen October, 2001 IEEE Journal on Select Areas in Communications. Prolog. The data services in wireless networks necessitate efficient and efficiency radio resource management Power control is important in CDMA system.

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Pricing and Power Control in a Multicell Wireless Data Network

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  1. Pricing and Power Control in a Multicell Wireless Data Network Po Yu Chen October, 2001 IEEE Journal on Select Areas in Communications

  2. Prolog • The data services in wireless networks necessitate efficient and efficiency radio resource management • Power control is important in CDMA system

  3. Outline • Introduction • Approach • Simulation Result • Conclusion and Discussion

  4. Pricing and Power Control in a Multicell Wireless Data Network Introduction

  5. Introduction (1/2) • Why using power control ? • To provide each signal with adequate quality without causing unnecessary interference to other signals • To minimize the battery drain in portable terminals

  6. Introduction (2/2) Paper Concept • Extend reference [5] (single-cell environment) to multi-cell environment • Power control for data network under a new light, powered by mathematics and concepts from microeconomics • Pricing scheme to improve utility with respect to both the transmit power and BS assignment

  7. Key word • Utility function: measure performance in bits per joule (bits/joule) • Nash equilibrium: no user has any incentive to change its power level since no individual improvement in utilities is possible • Non-cooperative game: terminals operating independently to achieve best performance (a distributed power control algorithm ) • Cooperative game: a centralized power control algorithm

  8. Utility function & Nash equilibrium 將Nash equilibrium 帶入所得之結果

  9. Pricing and Power Control in a Multicell Wireless Data Network Approach

  10. Functions • SIR • Utility function:包含了SIR和power control的訊息 hij: path gain pj: power of user j W: bandwidth R: data rate L/M: code rate , f(.):能成功被接收的機率

  11. BS Assignment Based on MRSS (1/2) • MRSS (Max. Received Signal Strength) • aj:被assigned給j的BS • hij:path gain • dij:distance between terminal and BS

  12. BS Assignment Based on MRSS (2/2) • 固定了BS assignment的方法，所以只剩下power control的變數 • Multi-cell power control game (MCPG) • P-j: interference power vector, but not include pj

  13. BS Assignment Based on MSIR (1/2) • Generalize the MRSS，將BS assignment也考慮進來。 • 方法：將有最大SIR值的BS assign給terminal • 所以在這裡BS assignment也變成了一個變數

  14. BS Assignment Based on MSIR (2/2) • MCPG的utility function (two dimension) • 簡化問題，分成兩項討論： • 先解決BS assignment的問題（MAX SIR） 再處理power control的問題

  15. Pricing (1/2) • Define: every transmit power has pricing • 加入pricing後的結果： new utility function • ci:the pricing factor announced by BS • Alpha is a scalar, Ni is the number of the terminals assigned to BS

  16. Pricing (2/2) • Pricing分為兩種： --Global Pricing --Local Pricing ci is based on the amount of traffic that is offered in its service area

  17. Power control game with Pricing • For MCPG-MRSS • For MCPG-MSIR

  18. Best equal-SIR • Good for MCPG (no pricing, the same SIR) dependent on local information • A centralized scheme,由BS來計算Terminal的SIR • BS need to announce the best SIR • The terminal needs to be applied an SIR balancing algorithm

  19. Pricing and Power Control in a Multicell Wireless Data Network Simulation Result

  20. System Model • Multi-cell CDMA data system • N=28 terminals • K=4 base stations • Frame size is fixed • No forward error correction • Simple path loss

  21. Result (1/4)--utility • Compare MCPG/MSIR and MCPGP/MSIR(LP)

  22. Result (2/4)--power in cell • Compare MCPG/MSIR and MCPGP/MSIR(LP)

  23. Result (3/4)--utility • Compare MCPG/MRSS and best equal-SIR

  24. Result (4/4)--power in cell • Compare MCPG/MRSS and best equal-SIR

  25. Benefit of Local pricing (LP)1/2 congestion

  26. Benefit of Local pricing (LP)2/2

  27. Pricing and Power Control in a Multicell Wireless Data Network Conclusion and Discussion

  28. Conclusion • 此篇利用microeconomics的concept和mathematics來引導結果—證明加入pricing scheme有助於效能提升 • 傳data和傳Voice的方法不同，所以MRSS不能夠保證data的QoS，因為power最大並不代表SIR就大。

  29. Discussion • 作者並沒有比較MRSS和MSIR，所以我們就不知道Best equal-SIR有沒有比MSIR好，因為這就是Centralized和Distributed power control的比較 • Utility的可信度 • 缺乏其他參數的實驗數據，不知是否影響其的參數的performance • 個人覺得此實驗的model不夠完整，實際狀況應更為複雜

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