臺灣博碩士論文加值系統

在本篇論文中，為了提升整體可達速率，我們考慮了使用非正交多重接取技術 （NOMA）的雙躍進（dual-hop）中繼網路系統，使得傳送端得以藉由兩個中繼站傳送資訊至接收端。我們重新構想了連續干擾消除法（SIC）與功率的限制條件，然而所有的通道資訊需假設為已知，方能執行後續的流程。而我們提出三種方法來提升整體可達速率。第一，我們提出一種極具效率並稱為 FBPA的演算法來逼近 max-min 最佳化問題的解。第二，我們將 FBPA 的最佳化問題轉換為凸優化問題，並使用 Karush-Kuhn-Tucker （KKT） 定理來解決。比起現有的研究，無論兩個中繼站是鄰近或遠離接收端，此兩種方法皆能提供更高的效能；然而，當中繼站過度靠近接收端時，這兩種方法的效能都會逐步下降。為了解決這個問題，我們最後提出了一個新的 diamond 合作式非正交多重接取（cooperative NOMA）的中繼網路架構，或可稱為 C-FBPA，並以 KKT 定理分析求得最佳功率分配。最後，模擬結果會說明中繼站的位置、功率的分配與可達速率的比例分佈此三者之間的關係。同時我們的方法也藉由模擬結果證明可以提供比現有相關研究更佳的效能。

In this paper, we consider the non-orthogonal multiple access (NOMA) dual-hop relay networks to boost the achievable rate, where a source transmits two data symbols to a destination through two relays. The constraints of the successive interference cancellation (SIC) for decoding, and the joint optimization for power allocation are newly formulated, and the channel state information is required to the network before all the procedures. Explicitly, three approaches are examined to advance the achievable rate. First, a simple and efficient algorithm, flow-balance power-allocation (FBPA), is developed by a max-min optimization problem to approach the solutions. Second, the problem of FBPA algorithm is converted into a standard form of a convex optimization problem, and we treat it suitably by Karush-Kuhn-Tucker (KKT) theorem. These two methods can offer higher performance than the existing works whether the relays are either near or far from the destination; however, they may degrade while the relays are near the destination. To address this issue, finally, we propose a novel cooperative NOMA diamond relay networks, C-FBPA, and solve it by KKT theorem to obtain the optimum power allocation. Simulation results reveal the relation among the relay placement, power allocation, and rate distribution, and demonstrate that our methods definitely outperform the existing relevant studies.

Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . i
List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . iii
List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v
1 Introduction 1
2 Related Work 5
3 Diamond Relay Networks 7
3.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . 7
3.2 Jointly Optimized Power Allocation . . . . . . . . . . . . . . . . . . . . . . . . . 9
3.3 Flow-Balance Power-Allocation Algorithm . . . . . . . . . . . . . . . . . . 11
3.4 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . 13
4 Diamond Relay Networks with or without Cooperation 19
4.1 Optimization for Diamond Relay Networks . . . . . . . . . . . . . . . . . .19
4.1.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
4.1.2 Mathematical Derivations . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .23
4.2 Optimization for Cooperative Diamond Relay Networks . . . . . . 27
4.2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
4.2.2 Mathematical Derivations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
4.3 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
4.3.1 Performance of FBPA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .38
4.3.2 Performance of C-FBPA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .46
5 Conclusion 53
Bibliography 53

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