在本文中，我們專注於為上行雲端無線電接取網路（C-RAN）的資源分配。在C-RAN，遠端無線射頻單元（RRU）跟傳統的基地台相比，RRU無法對用戶的信息進行解碼。取而代之的是，RRU將接收到的信號通過有限的帶寬Fronthual鏈接傳送基頻單元(BBU)。我們採用壓縮傳送機制量化RRU收到的類比訊號並發送已數位化後的量化索引(quantization index)信號到BBU。而壓縮部份則採用Wyner-Ziv編碼，透過在BBU上解壓縮後的信號當成旁訊息，達到連續解壓縮(successive-decompression)。而將兩個解壓縮後的信號透過而在BBU中使用兩個MMSE估測器估測出用戶的信號，，最後進行連續干擾消除（SIC）解出用戶的發送的信號。透過在解碼前先估測可降低位元錯誤率(bit error rate, BER)。模擬結果表示，我們提出的方案能夠比現今的的無線電接取網路架構能夠提供更高的總傳輸量(sum rate)

In this thesis, we focus on the resource allocation for the uplink cloud radio access network (C-RAN). In C-RAN, the remote radio unit (RRU), which corresponds to traditional base station, does not decode user's messages. Instead, the RRUs pass their received signals through finite bandwidth fronthual links to the baseband unit (BBU) in the cloud. We employ compress-and-forward in the RRU, which quantize its analog received signals and send the digitized quantization index signals to the BBU. The Wyner-Ziv compression is adopted for the successive-decompression at the BBU. The BBU will perform square error (MMSE) filtering on the de-compressed signals to enhance their qualities. Successive interference cancellation (SIC) is then performed for decoding user’s messages. Simulation results show that our schemes have better sumrates compared with schemes where RRUs perform decoding.

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