【摘要】：單載波頻分多址(single carrier frequency division multiple access, SC-FDMA)因具有較低的功率峰均比(peak to average power ratio,PAPR)而受到廣泛的關(guān)注,并被第三代合作伙伴計(jì)劃的長(zhǎng)期演進(jìn)(Third Generation Partnership Project-Long Term Evolution,3GPP-LTE)和LTE-Advanced標(biāo)準(zhǔn)采納為上行多址方案。在該系統(tǒng)中采用靈活的資源分配可以進(jìn)一步提高系統(tǒng)容量。但局部映射式SC-FDMA系統(tǒng)的子信道相鄰限制,即每個(gè)用戶只能被分配相鄰的多個(gè)子信道,增加了SC-FDMA系統(tǒng)資源分配最優(yōu)方案的求解難度。本文提出了一種局部映射式SC-FDMA系統(tǒng)中的增強(qiáng)型貪婪資源分配算法�；臼紫雀鶕�(jù)信道相干帶寬劃分子頻帶,選取在子頻帶上具有較大正比公平權(quán)重的用戶,為他們確定子信道的起始位置。然后考慮局部映射式SC-FDMA的子信道相鄰限制,以最大化正比公平權(quán)重和的增量為目標(biāo),把剩余子信道逐個(gè)分配給用戶。基于3GPP-LTE上行方案的仿真結(jié)果表明,與傳統(tǒng)貪婪算法相比,增強(qiáng)型貪婪算法能提高系統(tǒng)的頻譜利用率,同時(shí)提升用戶間的公平性,其性能非常接近最優(yōu)算法,并具有較低的計(jì)算復(fù)雜度。另一方面,協(xié)作中繼能為系統(tǒng)提供空間分集增益,降低無(wú)線信道衰落對(duì)傳輸可靠性的影響,改善系統(tǒng)性能。中繼協(xié)助的SC-FDMA系統(tǒng)能克服頻率選擇性衰落、陰影損耗等影響,增加可達(dá)的系統(tǒng)吞吐量,保證用戶的通信質(zhì)量。本文還研究了適用于SC-FDMA中繼系統(tǒng)中最大化容量的資源分配算法,提出將該資源分配問(wèn)題重構(gòu)為一個(gè)集合劃分問(wèn)題。借鑒集合劃分問(wèn)題在運(yùn)籌學(xué)中的相關(guān)算法,可以求解出該資源分配的最優(yōu)解。為降低最優(yōu)資源分配算法的計(jì)算復(fù)雜度,本文還提出了一種基于貪婪試探策略的次優(yōu)算法�；�3GPP-LTE上行方案的仿真結(jié)果表明,在放大轉(zhuǎn)發(fā)和解碼轉(zhuǎn)發(fā)中繼協(xié)助的SC-FDMA系統(tǒng)中,最優(yōu)算法的頻譜利用率顯著高于隨機(jī)算法,而貪婪次優(yōu)算法能達(dá)到接近最優(yōu)算法的性能,并且具有較低的計(jì)算復(fù)雜度。
[Abstract]:Single carrier frequency division multiple access (single carrier frequency division multiple access, SC-FDMA) has attracted much attention due to its low PAPR (peak to average power ratio,PAPR), and has been adopted as an uplink multiple access scheme by the (Third Generation Partnership Project-Long Term Evolution,3GPP-LTE and LTE-Advanced standards of the third Generation Partnership. Flexible resource allocation in the system can further improve the system capacity. However, the subchannel adjacent limitation of the local mapping SC-FDMA system is that each user can only be allocated several adjacent subchannels, which makes it more difficult to solve the optimal resource allocation scheme of SC-FDMA system. This paper presents an enhanced greedy resource allocation algorithm for locally mapped SC-FDMA systems. The base station first divides the sub-band according to the channel coherent bandwidth and selects the users with a large proportional fair weight on the sub-band to determine the starting position of the sub-channel for them. Then, considering the adjacent subchannel constraints of the local mapping SC-FDMA, the residual subchannels are assigned to the users one by one, aiming at maximizing the increment of the proportional fair weight sum. The simulation results based on 3GPP-LTE uplink scheme show that compared with the traditional greedy algorithm, the enhanced greedy algorithm can improve the spectrum efficiency of the system and the fairness between users, and its performance is very close to the optimal algorithm. And it has low computational complexity. On the other hand, cooperative relay can provide spatial diversity gain for the system, reduce the influence of wireless channel fading on transmission reliability, and improve the system performance. The relaying assisted SC-FDMA system can overcome the influence of frequency selective fading, shadow loss and so on, increase the throughput of reachable system and guarantee the communication quality of users. This paper also studies the resource allocation algorithm suitable for maximizing capacity in SC-FDMA relay system, and proposes to reconstruct the resource allocation problem into a set partition problem. The optimal solution of the resource allocation can be obtained by using the relevant algorithms of the set partition problem in operations research. In order to reduce the computational complexity of the optimal resource allocation algorithm, a suboptimal algorithm based on greedy heuristic strategy is proposed. The simulation results based on 3GPP-LTE uplink scheme show that the spectrum efficiency of the optimal algorithm is significantly higher than that of the random algorithm in the SC-FDMA system assisted by amplifying and decoding forwarding relays, while the greedy sub-optimal algorithm can achieve the performance close to the optimal algorithm. And it has low computational complexity.
【學(xué)位授予單位】：復(fù)旦大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN929.5

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