同時(shí)同頻全雙工系統(tǒng)譜效和能效優(yōu)化
發(fā)布時(shí)間：2019-06-02 20:19
【摘要】：隨著移動(dòng)設(shè)備的迅速普及,日益增長(zhǎng)的數(shù)據(jù)流量需求給無(wú)線通信系統(tǒng)帶來(lái)了巨大的挑戰(zhàn)。為了提高無(wú)線網(wǎng)絡(luò)的容量,同時(shí)同頻全雙工(in-band full-duplex)通信技術(shù)被提出來(lái),并且越來(lái)越受到學(xué)術(shù)界和工業(yè)界的關(guān)注。全雙工(FD)通信技術(shù)允許用戶在同一頻段內(nèi)同時(shí)發(fā)射和接收信號(hào),因此有可能使通信鏈路的容量加倍。全雙工通信最大的挑戰(zhàn)是設(shè)備本身產(chǎn)生的自干擾(SI)。目前已經(jīng)有三類自干擾消除技術(shù):傳輸路徑壓制、模擬域消除和數(shù)字域消除。聯(lián)合使用這三類自干擾消除方法,可以將殘存自干擾(RSI)壓制到一個(gè)足夠低的強(qiáng)度。本文研究的是一個(gè)實(shí)際的全雙工通信系統(tǒng):基站(BS)沒有空間的限制,可以配備復(fù)雜的自干擾消除硬件,從而擁有全雙工通信的能力;而用戶終端由于受自身尺寸和成本的限制,只能進(jìn)行傳統(tǒng)的半雙工(HD)通信。在這樣的系統(tǒng)中,一個(gè)上行用戶和一個(gè)下行用戶可以配對(duì)進(jìn)行全雙工通信。這種通信方式存在兩種類型的干擾:基站處的殘存自干擾和下行用戶處的同信道干擾(CCI)。本文首先研究了如何提升頻分全雙工網(wǎng)絡(luò)中的吞吐量。為了盡可能地提高網(wǎng)絡(luò)吞吐量,我們進(jìn)一步引入機(jī)會(huì)式干擾消除(OIC)技術(shù)來(lái)消除同信道干擾。最大化網(wǎng)絡(luò)吞吐量的問題可以建模為聯(lián)合功率控制、信道分配和用戶配對(duì)的問題。由于存在整數(shù)變量,該問題是一個(gè)NP-hard的問題。為了求解該問題,我們提出了一種低計(jì)算復(fù)雜度的啟發(fā)式算法。仿真結(jié)果表明:相對(duì)于半雙工網(wǎng)絡(luò),該算法具有全雙工增益、多用戶分集增益以及OIC增益;并且全雙工通信的性能取決于殘存自干擾的強(qiáng)度。我們研究了時(shí)分全雙工網(wǎng)絡(luò)中的最大化吞吐量問題。該問題是一個(gè)非凸問題,無(wú)法獲得最優(yōu)解。我們提出了一種基于凹凸過程(CCCP)的次優(yōu)算法來(lái)求解該問題。為了進(jìn)一步降低計(jì)算復(fù)雜度,我們提出了一種不需要迭代的啟發(fā)式算法。仿真結(jié)果表明,與頻分全雙工網(wǎng)絡(luò)類似,應(yīng)用該方法的時(shí)分全雙工網(wǎng)絡(luò)具有全雙工增益和多用戶分集增益,并且全雙工通信的性能取決于殘存自干擾的強(qiáng)度。我們研究了全雙工網(wǎng)絡(luò)的功率效率。在非完全信道狀態(tài)信息(CSI)的情況下,我們給出了全雙工用戶發(fā)射功率的可行域,并且給出了最優(yōu)發(fā)射功率的數(shù)值解。在高信噪比情況下,我們進(jìn)一步推導(dǎo)了最優(yōu)發(fā)射功率的閉式解�；谶@個(gè)閉式解,我們提出了全雙工通信與半雙工通信功率效率的一個(gè)比較準(zhǔn)則。最后,我們研究了全雙工網(wǎng)絡(luò)中能量效率(EE)與頻譜效率(SE)的折中問題。由于自干擾消除技術(shù)尚未完全成熟,我們分別針對(duì)兩種殘存自干擾模型——固定殘存自干擾模型和線性殘存自干擾模型——進(jìn)行了研究。在這兩種殘存自干擾的假設(shè)下,我們比較了全雙工通信和半雙工通信的能量效率與頻譜效率折中的問題,并分別提出了全雙工通信優(yōu)于半雙工通信的必要條件。針對(duì)固定殘存自干擾模型,在只研究一對(duì)用戶的情況下,我們證明了用戶的總發(fā)射功率是頻譜效率的嚴(yán)格凸函數(shù)�；谶@個(gè)凸性,我們繼續(xù)證明了能量效率是頻譜效率的擬凹函數(shù)。隨后,我們繼續(xù)將能量效率與頻譜效率的擬凹性推廣到多個(gè)用戶的場(chǎng)景,并且提出了一種尋找全局最優(yōu)能量效率的算法。針對(duì)線性殘存自干擾模型,由于干擾情況更加復(fù)雜,無(wú)法求取最優(yōu)解,我們提出了一種啟發(fā)式算法。該算法通過將原問題分解為功率控制和用戶配對(duì)兩個(gè)子問題進(jìn)行求解。仿真分析驗(yàn)證了我們的理論推導(dǎo)和提出方法的有效性。
[Abstract]:With the rapid spread of mobile devices, the increasing demand for data traffic presents a great challenge to the wireless communication system. In order to improve the capacity of the wireless network, simultaneous on-band full-duplex communication technology is proposed, and more and more attention is paid to the academic and industrial circles. A full-duplex (FD) communication technology allows a user to transmit and receive signals simultaneously within the same frequency band, and thus it is possible to double the capacity of the communication link. The biggest challenge for full-duplex communication is the self-interference (SI) generated by the device itself. There are three types of self-interference cancellation technologies: transmission path suppression, analog domain cancellation, and digital domain elimination. The combined use of these three types of self-interference cancellation methods can suppress the residual self-interference (RSI) to a sufficiently low strength. This paper deals with an actual full-duplex communication system: the base station (BS) has no space limitation, can be equipped with complex self-interference cancellation hardware, so as to have the capability of full-duplex communication; and the user terminal is limited by its own size and cost, A conventional half-duplex (hd) communication can only be performed. In such a system, an upstream user and a downstream user may be paired for full-duplex communication. There are two types of interference in this communication mode: residual self-interference at the base station and co-channel interference (cci) at the downstream user. This paper first studies how to improve the throughput in a frequency-division full-duplex network. In order to improve network throughput as much as possible, we further introduce opportunistic interference cancellation (OIC) techniques to eliminate co-channel interference. The problem of maximizing network throughput can be modeled as a problem of joint power control, channel assignment, and user pairing. This problem is a NP-hard problem due to the presence of an integer variable. In order to solve this problem, a heuristic algorithm with low computational complexity is proposed. The simulation results show that the algorithm has full-duplex gain, multi-user diversity gain and OIC gain relative to half-duplex network, and the performance of full-duplex communication depends on the strength of residual self-interference. We have studied the problem of maximizing throughput in time-division full-duplex networks. The problem is a non-convex problem, and the optimal solution cannot be obtained. We propose a sub-optimal algorithm based on the concave-convex process (CCCP) to solve the problem. In order to further reduce the computational complexity, a heuristic algorithm that does not require an iteration is proposed. The simulation results show that the time-division full-duplex network using the method has full-duplex gain and multi-user diversity gain similar to the frequency-division full-duplex network, and the performance of full-duplex communication depends on the strength of the residual self-interference. We have studied the power efficiency of full-duplex networks. In the case of incomplete channel state information (CSI), we give the feasible domain of the full-duplex user's transmission power, and the numerical solution of the optimal transmission power is given. In the case of high signal-to-noise ratio, we further derive the closed solution of the optimal transmission power. Based on this closed solution, we propose a comparison criterion for the power efficiency of full-duplex communication and half-duplex communication. Finally, we study the compromise between energy efficiency (EE) and spectral efficiency (SE) in full-duplex networks. Since the self-interference cancellation technique has not been fully mature, we have studied two kinds of residual self-interference model _ fixed residual self-interference model and linear residual self-interference model, respectively. Under these two kinds of residual self-interference, we compare the energy efficiency and spectrum efficiency of full-duplex communication and half-duplex communication, and put forward the necessary conditions for full-duplex communication over half-duplex communication, respectively. For the fixed residual self-interference model, in the case of only one pair of users, we prove that the total transmission power of the user is a strict convex function of the spectral efficiency. Based on this convexity, we continue to demonstrate that energy efficiency is a pseudo-concave function of spectral efficiency. We then continue to extend the energy efficiency and the pseudo-concavity of the spectral efficiency to the scenes of multiple users, and propose an algorithm for finding the global optimal energy efficiency. In order to solve the linear residual self-interference model, the optimal solution can not be obtained because the interference situation is more complex, and a heuristic algorithm is proposed. The algorithm is used to solve the two sub-problems of power control and user pairing. The simulation analysis verifies our theoretical derivation and the effectiveness of the proposed method.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN92
，
本文編號(hào)：2491399
[Abstract]:With the rapid spread of mobile devices, the increasing demand for data traffic presents a great challenge to the wireless communication system. In order to improve the capacity of the wireless network, simultaneous on-band full-duplex communication technology is proposed, and more and more attention is paid to the academic and industrial circles. A full-duplex (FD) communication technology allows a user to transmit and receive signals simultaneously within the same frequency band, and thus it is possible to double the capacity of the communication link. The biggest challenge for full-duplex communication is the self-interference (SI) generated by the device itself. There are three types of self-interference cancellation technologies: transmission path suppression, analog domain cancellation, and digital domain elimination. The combined use of these three types of self-interference cancellation methods can suppress the residual self-interference (RSI) to a sufficiently low strength. This paper deals with an actual full-duplex communication system: the base station (BS) has no space limitation, can be equipped with complex self-interference cancellation hardware, so as to have the capability of full-duplex communication; and the user terminal is limited by its own size and cost, A conventional half-duplex (hd) communication can only be performed. In such a system, an upstream user and a downstream user may be paired for full-duplex communication. There are two types of interference in this communication mode: residual self-interference at the base station and co-channel interference (cci) at the downstream user. This paper first studies how to improve the throughput in a frequency-division full-duplex network. In order to improve network throughput as much as possible, we further introduce opportunistic interference cancellation (OIC) techniques to eliminate co-channel interference. The problem of maximizing network throughput can be modeled as a problem of joint power control, channel assignment, and user pairing. This problem is a NP-hard problem due to the presence of an integer variable. In order to solve this problem, a heuristic algorithm with low computational complexity is proposed. The simulation results show that the algorithm has full-duplex gain, multi-user diversity gain and OIC gain relative to half-duplex network, and the performance of full-duplex communication depends on the strength of residual self-interference. We have studied the problem of maximizing throughput in time-division full-duplex networks. The problem is a non-convex problem, and the optimal solution cannot be obtained. We propose a sub-optimal algorithm based on the concave-convex process (CCCP) to solve the problem. In order to further reduce the computational complexity, a heuristic algorithm that does not require an iteration is proposed. The simulation results show that the time-division full-duplex network using the method has full-duplex gain and multi-user diversity gain similar to the frequency-division full-duplex network, and the performance of full-duplex communication depends on the strength of the residual self-interference. We have studied the power efficiency of full-duplex networks. In the case of incomplete channel state information (CSI), we give the feasible domain of the full-duplex user's transmission power, and the numerical solution of the optimal transmission power is given. In the case of high signal-to-noise ratio, we further derive the closed solution of the optimal transmission power. Based on this closed solution, we propose a comparison criterion for the power efficiency of full-duplex communication and half-duplex communication. Finally, we study the compromise between energy efficiency (EE) and spectral efficiency (SE) in full-duplex networks. Since the self-interference cancellation technique has not been fully mature, we have studied two kinds of residual self-interference model _ fixed residual self-interference model and linear residual self-interference model, respectively. Under these two kinds of residual self-interference, we compare the energy efficiency and spectrum efficiency of full-duplex communication and half-duplex communication, and put forward the necessary conditions for full-duplex communication over half-duplex communication, respectively. For the fixed residual self-interference model, in the case of only one pair of users, we prove that the total transmission power of the user is a strict convex function of the spectral efficiency. Based on this convexity, we continue to demonstrate that energy efficiency is a pseudo-concave function of spectral efficiency. We then continue to extend the energy efficiency and the pseudo-concavity of the spectral efficiency to the scenes of multiple users, and propose an algorithm for finding the global optimal energy efficiency. In order to solve the linear residual self-interference model, the optimal solution can not be obtained because the interference situation is more complex, and a heuristic algorithm is proposed. The algorithm is used to solve the two sub-problems of power control and user pairing. The simulation analysis verifies our theoretical derivation and the effectiveness of the proposed method.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN92
，
本文編號(hào)：2491399
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