本文選題：分布式MIMO系統(tǒng) + 波束成形��； 參考：《南京航空航天大學(xué)》2017年碩士論文

【摘要】：隨著業(yè)務(wù)量迅猛增長,無線通信能耗問題日益突出。因此,下一代移動通信系統(tǒng)將致力于追求更高的能量效率(Energy Efficiency,EE),實現(xiàn)綠色通信。分布式多輸入多輸出(Multiple Input Multiple Output,MIMO)系統(tǒng)能有效降低發(fā)送功率,提高覆蓋范圍。波束成形技術(shù)可以定向傳輸信號,能有效抑制電磁波衰減,提高信號傳輸距離。為此,本文將結(jié)合波束成形技術(shù)與MIMO技術(shù)研究分布式MIMO系統(tǒng)中能量有效的自適應(yīng)功率分配方案,以期最大化系統(tǒng)能量效率的同時降低復(fù)雜度,為分布式MIMO系統(tǒng)提升能效,實現(xiàn)綠色通信和增強實用性提供理論依據(jù)。全文的主要工作如下:1.研究分布式MISO系統(tǒng)中能量有效的功率分配方案。根據(jù)能效定義及約束條件,構(gòu)建系統(tǒng)能效最大化的目標(biāo)優(yōu)化函數(shù)�；贙KT條件給出最優(yōu)功率分配解的一般形式,從而將多維求解問題轉(zhuǎn)化成一維求解,并采用朗伯函數(shù)和二分法給出最優(yōu)功率分配解。仿真結(jié)果表明,所提算法僅需一次朗伯函數(shù)計算或者較少的二分法查找,在獲得最優(yōu)EE性能的同時降低了計算復(fù)雜度。2.研究分布式MIMO系統(tǒng)中能量有效的功率分配方案。利用分式規(guī)劃理論將原目標(biāo)優(yōu)化問題轉(zhuǎn)化成標(biāo)準(zhǔn)凸優(yōu)化形式,并采用卡爾丹公式給出最優(yōu)功率分配解。考慮到最優(yōu)方案需要多重迭代,復(fù)雜度較高,進而利用系統(tǒng)速率比較緊的下界提出一種次優(yōu)功率分配方案。仿真結(jié)果表明,所提次優(yōu)方案可獲得與最優(yōu)方案相近的EE性能,同時大幅度降低其計算復(fù)雜度,因此取得了性能與復(fù)雜度的有效折中。3.研究分布式MIMO系統(tǒng)在發(fā)送空間相關(guān)信道下能效自適應(yīng)功率分配,提出了有著最小速率要求的能效功率分配方案,以期滿足服務(wù)質(zhì)量要求。給出了最低速率和最大功率約束條件下能效優(yōu)化問題,該問題為非凸二次約束二次規(guī)劃(Quadratically Constrained Quadratic Programming,QCQP)問題,很難獲得全局最優(yōu)解。為此,提出了利用系統(tǒng)比較緊的傳輸速率下界簡化優(yōu)化問題,并由此給出一種低復(fù)雜度的次優(yōu)功率分配方案,在提升EE性能同時實現(xiàn)性能與復(fù)雜度的有效折中。
[Abstract]:With the rapid growth of traffic, the problem of wireless communication energy consumption is increasingly prominent. Therefore, the next generation of mobile communication systems will be dedicated to the pursuit of higher energy efficiency and energy efficiency to achieve green communications. Distributed multiple Input Multiple output Mimo system can effectively reduce transmission power and increase coverage. Beamforming technology can transmit signals in a directional way, effectively restrain the attenuation of electromagnetic waves and improve the transmission distance. In order to maximize the energy efficiency and reduce the complexity of the distributed MIMO system, this paper will study the energy efficient adaptive power allocation scheme in distributed MIMO system by combining beamforming technology with MIMO technology, and improve the energy efficiency of the distributed MIMO system. The realization of green communication and the enhancement of practicability provide theoretical basis. The main work of this paper is as follows: 1: 1. The energy efficient power allocation scheme in distributed MISO system is studied. According to the definition and constraints of energy efficiency, the objective optimization function of maximizing system energy efficiency is constructed. Based on the KKT condition, the general form of the optimal power allocation solution is given, and the multidimensional solution is transformed into one dimensional solution, and the optimal power allocation solution is obtained by using the Lambert function and the dichotomy. The simulation results show that the proposed algorithm requires only one Lambert function calculation or less dichotomous lookup, and reduces the computational complexity of the proposed algorithm by obtaining the optimal EE performance at the same time. The energy efficient power allocation scheme in distributed MIMO system is studied. By using fractional programming theory, the original objective optimization problem is transformed into a standard convex optimization form, and the optimal power allocation solution is obtained by using Cardan formula. Considering that the optimal scheme requires multiple iterations and the complexity is high, a sub-optimal power allocation scheme is proposed by using the lower bound of the system with relatively tight system rate. The simulation results show that the proposed sub-optimal scheme can obtain EE performance similar to the optimal scheme, and greatly reduce its computational complexity, thus achieving an effective compromise between performance and complexity. The energy efficiency adaptive power allocation in distributed MIMO systems is studied in the transmission space dependent channel. An energy efficiency power allocation scheme with minimum rate requirement is proposed in order to meet the quality of service (QoS) requirements. In this paper, the energy efficiency optimization problem with minimum rate and maximum power constraints is given. The problem is Quadratically-Quadratically Constrained Quadratic programming QCQP (Quadratically-Quadratic Quadratic Quadratic constrained Quadratic Quadratic programming). It is difficult to obtain a global optimal solution. In this paper, a simplified optimization problem based on the tight lower bound of transmission rate is proposed, and a low-complexity sub-optimal power allocation scheme is proposed to achieve an effective trade-off between performance and complexity while improving EE performance.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN919.3

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本文編號：1988546