適用於多細胞多輸入多輸出干擾廣播通道之新式線性傳收機設計研究

New Linear Tranceiver Designs for Multi-Cell MIMO Interfering Broadcast Channel

劉家彰(Jia-Jang Liou)

指導教授 ： 陳喬恩

國立中正大學/工學院/通訊工程學系/碩士(2013年)

摘要

多細胞多輸入多輸出(multi-cell multiple-input-multiple-output, MC-MIMO)下行通訊系統中，多個基地台各自對於所屬細胞內之手機用戶傳送資料。因此各手機用戶收到訊號時，除了原本欲接收之訊息以外，還會受到自身細胞內基地台對其餘接收端所發送的訊息，以及其餘細胞之基地台傳送到各接收端之訊息。對於各手機用戶來說，那些欲接收訊息之外的訊號便成為干擾。如何能夠有效的在基地台的傳送端與手機用戶的接收端針對即時通道資訊進行聯合設計以消除用戶間的干擾便成為下世代行動通訊系統之重要挑戰。
在本篇論文中，我們探討多輸入多輸出干擾廣播通道(interfering broadcast channel, IBC)中的聯合傳送接收機架構設計。我們分別以傳輸率與均方誤差為系統的效能量度(performance metric)，在用戶整體效能與個體效能之間的不同權衡提出不同的設計。最後，我們以電腦模擬方式探討聯合傳送接收機架構設計在不同多細胞網路通訊組態下的效能。模擬結果指出我們所提出之演算法相較於現今已知的演算法來說，更能兼顧整體效能與個體效能之間的平衡。

關鍵字

傳輸率 ； 干擾廣播通道 ； 多細胞多輸入多輸出 ； 均方誤差

並列摘要

In multi-cell multiple-input-multiple-output (MC-MIMO) downlink communications, multiple base stations transmit signals independently to the mobile stations within the same cell. As a result, each mobile station receives not only its desired signal but also signals intended for other mobile stations within the same cell or even within different cells. These unintended received signals cause interference to the desired signal, and hence has to be handled properly.In fact, interference suppression through joint transmitter and receiver design has become an important issue for the next generation cellular networks and has drawn great research attention over the last few years.
In this thesis, we investigate the joint transmitter and receiver design problem in a multiple-input-multiple-output interfering broadcast channel (MIMO-IBC). We choose the rate and the mean-square-error (MSE) as our performance metric, and propose a number of designs that balances the tradeoffs between the overall system performance and individual fairness. Multiple network configurations have been studied via computer simulation. Simulation results show that our proposed algorithms balance the overall system performance and individual fairness and can be useful alternatives in addition to the existing designs.

並列關鍵字

MSE ； rate ； MIMO-IBC ； MC-MIMO ； fairness

參考文獻

[1] S. Shi, M. Schubert, and H. Boche, “Rate optimization for multiuser MIMO systems with linear processing,” IEEE Transactions on Signal Processing, vol. 56, pp. 4020-4030, May 2008.

[2] S.S. Christensen, R. Agarwal, E.de Carvalho, and J.M. Cioffi, “Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design,” IEEE Transactions on Wireless Communications, vol.7, pp. 4792-4799, Dec. 2008.

[4] J. Shin, and J. Moon, “Weighted sum rate maximizing transceiver design in MIMO interference channel,” in Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dep. 2011,pp. 1-5.

[5] A. Agustin and J. Vidal, “Weighted sum rate maximization for the MIMO X channel through MMSE precoding,” in Proc. IEEE International Symposium on Information Theory (ISIT), Jul.-Aug. 2011, pp. 2572-2576.

approach to distributed sum-utility maximization for a MIMO interfering broadcast