无人机交替中继通信及其轨迹优化和功率分配研究

为了提高无人机中继通信系统的频谱利用率,该文提出一种交替中继方法,通过两个无人机中继交替工作,轮流将信息从源端转发到目的端。研究联合优化无人机中继的飞行轨迹和各发射端的发射功率,协调两条中继链路的相互干扰,实现端到端的吞吐量最大化。涉及的优化问题受限于无人机的高度约束、机动约束、防碰撞约束以及各发射端的平均与峰值发射功率约束,是难以求得最优解的非凸优化问题。该文提出一种基于交替最大化和连续凸优化技术的高效迭代算法求解次优解,并用计算机仿真验证了所提算法的有效性。     

D2D协作通信网络中基于社交信息的中继选择和功率分配

D2D通信技术结合社交网络的应用是通信行业发展的热点之一,而协作通信能够满足高数据速率、广覆盖范围的通信需求。为了促进用户间协作通信的有效性和信任度,针对D2D协作通信网络,该文首先提出一种综合社交因素和物理因素的协作D2D中继模型。进而基于中断概率提出一种中继选择方案,降低D2D通信的中断概率,提高系统吞吐量;同时通过最优化理论对源设备和中继设备进行最优功率分配。仿真表明在相同条件下,该算法具有明显优于传统中继选择算法的性能,经过最优功率分配能够进一步降低通信系统的中断概率。     

采用模拟网络编码的认知中继网络双向通信的最优功率分配

Cognitive radio and cooperative communication can greatly improve the spectrum efficiency in wireless communications. We study a cognitive radio network where two secondary source terminals exchange their information with the assistance of a relay node under interference power constraints. In order to enhance the transmit rate and maintain fairness between two source terminals, a practical 2-phase analog network coding protocol is adopted and its optimal power allocation algorithm is proposed. Numerical results verify the superiority of the proposed algorithm over the conventional direct transmission protocol and 4-phase amplify-and-forward relay protocol.     

Resource Allocation and Power Control Based on Noncooperative Game for D2D Communications Underlaying Cellular Networks

Wireless Personal Communications - The development of computer technology paves the way for transferring conventional monitoring system into digital monitoring. Considering this idea, the concept...     

基于NOMA的D2D辅助中继系统性能分析与优化

本文针对两阶段NOMA(Non-Orthogonal Multiple Access)-D2D((Device-to-Device)辅助中继场景提出了一种功率优化算法，推导分析了各用户的中断概率。构建了以最大化系统各态历经容量为目标的优化问题，由于一、二两阶段通信用户的差异性，重点优化了对提升系统容量起决定作用的第一阶段功率分配因子，分析证明了原优化问题存在极值点，并利用凸函数性质获得了优化的功率分配因子，并且进一步推导分析了各个用户的中断概率。仿真结果表明，理论推导的中断概率值与仿真结果完全一致，证明了推导的正确性，本文提出的功率优化算法能显著提高系统容量，且降低了中断概率。例如当SNR为35dB时，本文算法可以提高约17.6%的系统容量，而作为辅助中继用户的中断概率大约降低了81.3%。      

全双工中继网络的功率分配优化

针对全双工(FD)放大转发中继系统中自干扰造成的符号错误率(SER)性能门限问题,提出了FD放大转发中继系统功率分配优化方案。在考虑自干扰存在的环境下,对系统模型进行了数学分析,推导了中断概率和SER的表达式,制定了基于最小SER准则的优化问题,求出了次优的功率分配比。利用Matlab工具对FD放大转发中继系统SER进行了仿真,证明了该功率分配优化方案的有效性。     

Layered D2D NOMA

This paper investigates a layered power allocation(PA)non-orthogonal multiple access(NOMA)scheme for device-to-device(D2D)relaying networks,where the strategy of partial data transmission at relay nodes are adopted to improve the efficiency of resources.In addition,to satisfy different quality-of-service(QoS)requirements from multiple users,layered and grouped manners are involved.Moreover,the closed-form expressions in terms of the sum-rate(SR)and outage probability of the proposed scheme are derived for independent Rayleigh fading channels,which demonstrates our theoretical analysis.Both analytical and simulation results are provided to show the superiority of our proposed scheme compared with existing works.     

面向服务质量的RIS辅助的多用户NOMA系统功率分配方案

可重构智能超表面(RIS)可被视为通信网络中具有特殊功能的“中继”来配合非正交多址接入(NOMA)系统构建一种协同的信息传输方案。考虑到未来物联网(IoT)场景下不同用户设备对服务质量(QoS)的不同需求,该文提出一种RIS辅助的多用户NOMA通信系统模型,并针对两类用户(信息用户和能量用户)的QoS需求设计了一种基于迭代优化的功率分配方法。该方法通过联合设计RIS相移矩阵、基站端波束赋形以及NOMA系统串行干扰消除顺序来最小化系统的总发射功率,以全面减轻通信系统中基站的能耗负担。仿真结果表明,与无RIS的场景相比,RIS辅助的NOMA系统可有效减小基站的能耗;在有RIS的场景下,所提功率分配方法的能耗明显低于RIS端随机选择相位的方式和基站端直接采用迫零波束赋形的方式。     

协作NOMA系统中的一种新型节能功率分配方案

在传统的协作非正交多址（CNOMA, Cooperative Non Orthogonal Multiple Access)系统中,通常需要向弱用户分配更多的功率,分配给强用户的功率不超过总功率的一半。同时,强用户还需在协作阶段承担中继通信的任务。上述功率分配方式必将给强用户带来一定的负担。为了在满足弱用户服务质量的情况下,进一步提高强用户的中断性能,本文提出一种基于中继和无线携能通信（SWIPT, Simultaneous Wireless Information and Power Transfer）的新型功率分配方案。该方案使用能量收集设备收集能量,通过最大化系统和速率寻求无线携能通信的最优功率分割因子,从而获得系统中断概率的闭式表达。考虑到优化问题的性质,本文提出了一种在功率分配固定的情况下,通过单调优化求解无线携能通信功率分割因子的算法。仿真结果表明,与CNOMA系统的传统功率分配方案相比,本文所提方案能够在不损失弱用户中断性能的前提下,有效提升强用户的中断概率,系统和速率总体提高了近 20%。      

LTE-A网络中D2D通信的资源分配算法研究

该文研究了D2D通信使用LTE-A网络上行链路的资源分配问题。首先将问题建模为混合整数非线性规划问题(MINLP),其次根据待接入用户对各信道的青睐程度计算特征值列表并形成相应联盟。在保证各用户服务质量(QoS)的情况下,利用最大加权二部图匹配(MWBM)方法为待接入网络用户寻找合适的资源及复用的组合。仿真结果表明,该算法打破了D2D用户在数据传输过程中一直处于专用或者复用模式的束缚,扩大了D2D用户对可选用的资源范围,与现有算法相比,可有效提高系统的总速率。     

Power Allocation Schemes for Amplify-and-Forward MIMO-OFDM Relay Links

We consider a two-hop MIMO-OFDM communication scheme with a source, an amplify-and-forward relay, and a destination. We examine the possibilities of power allocation (PA) over the subchannels in frequency and space domains to maximize the instantaneous rate of this link if channel state information at the transmitter (CSIT) is available. We consider two approaches: (i) separate optimization of the source or the relay PA with individual per node transmit power constraints and (ii) joint optimization of the source and the relay PA with joint transmit power constraint. We provide the optimal PA at the source (or the relay) with a node transmit power constraint that maximizes the instantaneous rate for a given relay (or source) PA. Furthermore, we show that repeating this separate optimization of the source and the relay PA alternately converges and improves the achievable rate of the considered link. Since the joint optimization of the source and the relay PA is analytically not tractable we use a high SNR approximation of the SNR at the destination. This approximation leads to rates which are quite tight to the optimum.     

Distributed Adaptive Power Allocation for Wireless Relay Networks

In this paper, we consider a 2-hop wireless diversity relay network. We explore transmit power allocation among the source and relays to maximize the received signal to noise ratio (SNR) at the destination. We consider two relay protocols, "amplify and forward" (AAF) and "decode and forward" (DAF) and design the respective power allocations for both uneeded and coded systems. For a 2-hop relay system with one relay node, we derive a closed-form power allocation solution and, based on it, we propose a relay activation condition. If and only if the fading channel coefficients satisfy this condition, the relay transmits the signals to the destination; otherwise, the relay will stay in the idle state. For a system with more than one relay node, general closed-form power allocation solutions based on an exact SNR expression are difficult to derive; we hence, calculate a SNR upper bound and derive a sub-optimum power allocation solution based on this bound. The simulation results show that for a 2-hop diversity relay channel with one relay node the proposed adaptive power allocation (APA) scheme yields about 1- 2 dB SNR gains compared to the equal power allocation. This SNR gain increases monotonically as the number of relays increases     

异构蜂窝网络中基于能效的非正交多址接入下行功率分配算法

该文针对应用非正交多址接入(NOMA)技术的异构蜂窝网络,在考虑层间层内干扰的情况下,提出一种能效最大化的功率分配算法。该算法主要包括两部分,一部分为子信道内用户功率分配因子的求解,主要利用差分优化的方法,迭代求解。另一部分为子信道间的功率分配,主要利用凹凸程序法将原有的非凸问题简化为可解的凸问题,最后利用拉格朗日求解法得出功率最优解。仿真结果表明该算法有良好的迭代性,且新算法表明利用NOMA技术得到的系统能效较利用正交技术得到的系统能效提高了至少44%以上。     

能量收集双向中继网络的高能效联合中继选择和功率分配算法

为了实现双向中继系统在满足传输速率要求时的最小功率消耗,基于功率分割中继协议,在完美和非完美的信道估计两种不同的情况下,提出了能量收集双向中继网络的高能效联合中继选择和功率分配算法,得到了两个信源的最优功率分配和中继节点最优的能量收集比例.仿真结果表明,信道估计误差会增加系统的功率消耗;与传统双向中继比较发现,能量收集双向中继能够实现更少的系统功率消耗.     

Low Complexity User Selection and Power Allocation for Uplink NOMA Beamforming Systems

Wireless Personal Communications - In this paper, we develop user selection and power allocation methods for NOMA systems equipped with multi-antenna to enhance the sum capacity of the uplink. The...     

基于中继系统的功率分配研究

首先对现有的中继系统功率分配模型进行阐述,然后对其所涉及的问题进行分类,并对近年来国内外在该方向的研究成果进行总结和分析,最后进一步阐述中继系统中功率分配亟待解决的问题和今后的研究方向.     

基于非正交多址接入的网络切片联合用户关联和功率分配算法

为了满足网络切片多样化需求,实现无线虚拟资源的动态分配,该文提出在C-RAN架构中基于非正交多址接入的联合用户关联和功率资源分配算法。首先,该算法考虑在不完美信道条件下,以切片和用户最小速率需求及时延QoS要求、系统中断概率、前传容量为约束,建立在C-RAN场景中最大化长时平均网络切片总吞吐量的联合用户关联和功率分配模型。其次,将概率混合优化问题转换为非概率优化问题,并利用Lyapunov优化理论设计一种基于当前时隙的联合用户调度和功率分配的算法。最后采用贪婪算法求得用户关联问题次优解;基于用户关联的策略,将功率分配的问题利用连续凸逼近方法将其转换为凸优化问题并采用拉格朗日对偶分解方法获得功率分配策略。仿真结果表明,该算法能满足各网络切片和用户需求的同时有效提升系统时间平均切片总吞吐量。     

基于功率最小化的IRS辅助上行NOMA系统资源分配方法

对于智能反射面(IRS)辅助的单簇上行非正交多址接入(NOMA)系统,该文提出一种最小化系统总功率的资源分配方案。首先构建最小化总功率的优化问题,优化参数为用户功率和IRS相移;然后,推导单个用户所需的功率与信道、用户的速率需求以及IRS相移之间的关系,将功率与相移的联合优化问题分解为多个包含单个参数的子优化问题;其次,采用迭代的方法求解所有的IRS相移,在每次迭代过程中,依次求解包含单个参数的子优化问题;最后,根据迭代得到的IRS相移计算出每个用户所需的最低功率。仿真结果显示,在速率需求相同的条件下,所提方案所需的总功率低于相同场景中的已有方案。     

Joint Relay Selection and Power Allocation for Cooperative Cellular Networks

The principal purpose of this paper is to develop a joint relay selection and power allocation algorithm in cooperative cellular networks with multiple users assisted by multiple relays. By solving a rate optimization problem, we can obtain the optimal solutions and the distributed implementation based on the primal-dual decomposition. An admission control algorithm is also presented when there exists the minimal rate requirement for each user. Simulation results indicate that the algorithm with joint design is superior to the existing ones with isolated design in large total transmission rates and small deviations. Moreover, with the admission control algorithm, the rate requirements for users participating in cooperation are also satisfied.