多細胞MIMO系統中使用集束排程之低複雜度使用者配對演算法

隨著無線通訊技術的發展，頻譜如何被有效的運用並且使整體系統效能提高成為一個重要的課題。在通訊領域裡合作多點發送/接收（Cooperative multiple point transmission/reception，CoMP）已經被提出作為一種方法來提高細胞邊緣的吞吐量，並提高系統效能。事實上，每座基地台可能同時有多個使用者位在細胞邊緣。在這篇論文中，我們發現要找到是適當的使用者使多細胞的多使用者多輸入多輸出(multiple-input and multiple-output，MIMO)系統達到最大限度的吞吐量是一個組合最佳化問題。這是一個NP-hard 最佳化問題，因為對於已給定的使用者，要找到最佳的預編碼矩陣來達到最大限度的吞吐量本身就是一個NP-hard最佳化的問題。因此我們嘗試設計一個低複雜度的演算法希望能迅速地找到合適的使用者來進行合作。論文中我們提出的軌跡配對演算法，用軌跡配對演算法，可以將使用者配對和預編碼矩陣的設計問題分開處理，這使得配對問題更加容易。模擬結果顯示，軌跡配對演算法擁有相對使用低的複雜度並且可以達到與特徵值配對演算法相去不遠的系統效能。

關鍵字

集束排程；軌跡配對

並列摘要

Since the radio spectrum is a finite and precious resource, the spectrum arrangement for multi-user MIMO (MU-MIMO) wireless networks is an important problem. Cooperative multiple point transmission / reception (CoMP) have been proposed as an approach to improve the cell-edge throughput. The fact is that each base station may have multiple users located at the cell-edge. In this paper, we propose two complexity user pairing strategies for MU-MIMO downlink scenario. The goal of sum rate pairing strategy is selecting two users which have the maximum sum of data rate in certain frequency resources to enhance system throughput.This problem has been shown to be an NP-hard problem, since for any given users, to find the optimum precoding matrices with maximal throughput is essentially an NP-hard problem. Therefore, we attempt to design a low-complexity algorithm to find an appropriate pair of users between two BSs that can be served using the same resource blocks (RBs).In the proposed scheme, the pairing problem and the design of precoding matrix are treated separately, which makes the problem easier.Simulation results show that the proposed algorithm(trace-pairing algorithm) achieves slightly inferior to the performance but lower complexity comparison with eigen-pairing algorithm.

並列關鍵字

Coordinated Scheduling and Beamforming ； trace pairing

參考文獻

[1] TR 36.913 v8.0.0, “Requirements for Further Advancements for E-UTRA

[5] Y. Taesang and A. Goldsmith, “On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming,” Selected Areas in Communications, IEEE Journal on, vol. 24, pp. 528-541, 2006.

[6] Z. Hongyuan, N. B. Mehta, A. F. Molisch, Z. Jin and D. Huaiyu, “Asynchronous Interference Mitigation in Cooperative Base Station Systems,” Wire-less Communications, IEEE Transactions on, vol. 7, pp. 155-165, 2008.

[7] W. Jianqi, D. J. Love and M. D. Zoltowski, “User Selection With Zero-Forcing Beamforming Achieves the Asymptotically Optimal Sum Rate,” Signal Processing, IEEE Transactions on, vol. 56, pp. 3713-3726, 2008.

[11] J. Uk, L. Kang Yong, C. Kee Seong and R. Won, “Transmit Beamforming Based Inter-Cell Interference Alignment and User Selection with CoMP,” in Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd, 2010, pp. 1-5.

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多細胞MIMO系統中使用集束排程之低複雜度使用者配對演算法

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