Inter-Operator Interference Coordination for CoPrimary Spectrum Sharing in UDN

Co-primary spectrum sharing for multiple operators has been utilized to fully explore the spectrum resources and thus improve the spectrum efficiency. The inter-operator interference(IOI) problem should be seriously considered in order to achieve the mentioned target, especially under the scenario of the ultradense network(UDN) in the fifth generation(5G) wireless systems. To solve this problem, we propose an asymmetrical power levels based soft IOI coordination mechanism. The shared spectrum pool is consisted of three separated parts, where each part can be dynamically adjusted according to the minimal spectrum demand from each operator. Furthermore, different power masks are configured to different parts for each operator. The simulation results show that the proposed mechanism can improve the network spectrum efficiency significantly.

Interference Coordination for FD-MIMO Cellular Network with D2D Communications Underlaying

In this paper, we investigate the interference coordination for downlink full-dimension multiple-input multiple-output(FD-MIMO) systems with device-to-device(D2 D) communications underlaying. With three-dimensional(3 D) beamforming transmission applied for cellular users(CUEs), an approximation of the interference to signal ratio for CUEs is derived, and a coordination strategy is proposed to mitigate the interference from D2 D pairs to CUEs. Based on the lower bound of the interference to signal ratio for D2 D pairs, we propose coordination strategies for D2 D pairs to mitigate the interference caused by base station(BS) and the interference between D2 D pairs. The proposed strategies require only some statistical channel state information(CSI) of each user and the reduced-dimensional effective CSI of a few CUEs and D2 D pairs. Simulation results show that the proposed coordination strategy performs well in terms of achieving good tradeoff between the achievable rate of CUEs and D2 D pairs.

INTERFERENCE COORDINATION METHOD BASED ON GRAPH THEORY IN TWO-TIER CELLULAR NETWORKS

This paper studies an interference coordination method by means of spectrum allocation in Long-Term Evolution (LTE) multi-cell scenario that comprises of macrocells and femtocells. The purpose is to maximize the total throughput of femtocells while ensuring the Signal-to-Interference plus Noise Ratio (SINR) of the edge macro mobile stations (mMSs) and the edge femtocell Mobile Stations (fMSs). A new spectrum allocation algorithm based on graph theory is proposed to reduce the interference. Firstly, the ratio of Resource Blocks (RBs) that mMSs occupy is obtained by genetic algorithm. Then, after considering the impact of the macro Base Stations (mBSs) and small scale fading to the fMS on different RBs, multi-interference graphs are established and the spectrum is allocated dynamically. The simulation results show that the proposed algorithm can meet the Quality of Service (QoS) requirements of the mMSs. It can strike a balance between the edge fMSs' throughput and the whole fMSs' throughput.

Dynamic Cell Range Expansion-based Interference Coordination Scheme in Next Generation Wireless Networks

Deploying Picocell Base Station(PBS) throughout a Macrocell is a promising solution for capacity improvement in the next generation wireless networks.However,the strong received power from Macrocell Base Station(MBS) makes the areas of Picocell narrow and limits the gain of cell splitting.In this paper,we firstly propose a Dynamic Cell Range Expansion(DCRE) strategy.By expanding the coverage of the cell,we aim to balance the network load between MBS and PBS.Then,we present a cooperative Resource block and Power Allocation Scheme(coRPAS)based on DCRE.The objective of coRPAS is to decrease interference caused by MBS and Macrocell User Equipments,by which we can expand regions of Picocell User Equipments.Simulation results demonstrate the superiority of our method through comparing with other existing methods.

Dynamic Interference Coordination With Analytical Near-Optimal Power Allocation Toward High User Fairness

To mitigate interference on celledge users and improve fairness of the whole system, dynamic inter-cell interference coordination(ICIC) is one of the promising solutions. However, traditional dynamic ICIC is considered as an NP-hard problem and power variability further adds another dimension to this joint optimization issue, making it even more difficult to quickly reach a near-optimal solution. Therefore, we theoretically obtain the closed-form expression of the near-optimal power allocation ratio for users in adjacent cells paired in the same resource block and interfere each other, so that the total utility corresponding to α-fairness is maximized. Dynamic ICIC using this closed-form solution could improve user fairness without causing an increment of the computational complexity. Numerical results show that, compared with the schemes using identical power for different users, our method does not obviously degrade the system's average spectral efficiency.

Interference Coordination for Secrecy Enhancement in Random Wireless Networks

The co-channel interference modeling is vital for evaluating the secrecy performance in random wireless networks,where the legitimate nodes and eavesdroppers are randomly distributed.In this paper,a new interference model is proposed from the userdominant perspective.The model can provide a better analytical assessment of secrecy performance with interference coordination for the presence of eavesdroppers.The typical legitimate is assumed to be located at the origin,and chooses the closest base station(BS) as its serving BS.The field of interferers is obtained by excluding the desired BSs(including the serving BS and its cooperative BS(s)).In contract with the exiting interference model,it is assumed that desired BSs and interferers belong to the same Poisson Point Process(PPP),and eavesdroppers are distributed according to another independent PPP.Based on this model,the average secrecy transmission capacity is derived in simply analytical forms with interference coordination.Analysis and simulation results show that the secrecy performance can be significantly enhanced by exploiting interference coordination.Furthermore,the average secrecy transmission capacity increases with increasing number of cooperative BSs.

Underdetermined Blind Source Separation of Adjacent Satellite Interference Based on Sparseness

The problem of underdetermined blind source separation of adjacent satellite interference is proposed in this paper. Density Clustering algorithm(DC-algorithm) presented in this article is different from traditional methods. Sparseness representation has been applied in underdetermined blind signal source separation. However, some difficulties have not been considered, such as the number of sources is unknown or the mixed matrix is ill-conditioned. In order to find out the number of the mixed signals, Short Time Fourier Transform(STFT) is employed to segment received mixtures. Then, we formulate the blind source signal as cluster problem. Furthermore, we construct Cost Function Pair and Decision Coordinate System by using density clustering. At the end of this paper, we discuss the performance of the proposed method and verify the novel method based on several simulations. We verify the proposed method on numerical experiments with real signal transmission, which demonstrates the validity of the proposed method.

小卫星空间用频现状和问题研究

针对小卫星无线电通信频率资源日趋紧缺的问题,文章对国内外空间用频现状进行了梳理,从频率协调、频率兼容、用频安全等3个方面分析了小卫星用频面临的难题和挑战,并重点针对小卫星频率资源紧张且协调困难、空间用频限制造成自兼容设计困难、应急环境下频率使用安全等问题,提出了规范频谱协调管理、优化频率分配、提高抗干扰能力的建议和措施。可为小卫星空间频率使用提供参考。

接触式与白光干涉测头复合测量坐标统一与数据融合

针对复合测量中两测头空间坐标系不统一的问题,提出了基于标定器提供基准点结合单位四元数法求解空间变换矩阵的坐标统一方法,并以均方根误差(RMSE)来评估坐标统一的效果。设计并制作了一种新型标定器,为坐标统一提供稳定可靠的基准点,并建立了基准点精度与坐标统一精度的关系模型。针对两测头测量数据,提出了空间误差椭球搜索策略结合加权最小二乘法的数据融合方法。实验结果表明,复合测量的坐标统一化配准精度可达1.889μm,所提出的数据融合方法相较传统加权最小二乘法的相对误差减小了16%,重复性精度提高了38%,实现了复合测量的高精度坐标统一与稳定精确的数据融合,提升了对器件的测量能力。

小卫星空间用频现状和问题研究

小卫星在轨依赖电磁波完成所需的各种无线电通信功能.近年来,随着在轨卫星数量的几何级数增加,卫星无线电通信频率资源日趋紧缺,空间用频问题逐渐暴露.为了给当前小卫星用频设计提供参考,对国内外空间用频现状进行了总结和梳理.在此基础上,从频率协调、频率兼容和用频安全等三方面分析了小卫星用频面临的难题和挑战.重点针对小卫星频率资源紧张且协调困难、空间用频限制造成自兼容设计困难及应急环境下频率使用安全等问题,提出了规范频谱协调管理、优化频率分配及提高抗干扰能力等建议和措施.最后给出了几点结论,并指出其对小卫星工程实际的借鉴和参考价值.

一种基于SIC-CDM的低复杂度混合波束赋形方案

为了平衡毫米波大规模多输入多输出系统的性能和硬件开销,降低系统功耗,以频谱效率为优化目标,在部分连接结构下提出了一种收发端联合设计的低复杂度混合波束赋形方案。首先,基于连续干扰消除将原始优化问题转化为多个子阵的速率优化问题;然后,利用坐标下降法完成模拟波束赋形矩阵设计;最后,引入等效信道矩阵大幅降低矩阵维度,再对其进行奇异值分解获得数字波束赋形矩阵。仿真结果表明,与其他算法相比,所提算法在系统功耗降低的同时保持了较优的性能,且性能逼近部分连接结构的最优方案。

一种改进型双L遮断式激光光幕靶

针对现有光幕靶重量大、抗干扰能力弱、测量面积无法调整等问题,设计了1种改进型双L遮断式激光光幕靶,可同时测量垂直入射弹丸的速度与坐标。光幕靶电路板采用模块化方法设计,可根据用户需求灵活地拼接为0.5 m×0.5 m倍数的幕面。光幕靶电路板集成了定制的抗光干扰芯片,可动态调整电路的放大倍数,避免光电二极管进入饱和状态,使光幕靶具有较强的抗光干扰能力。为检验光幕靶的实际性能,开展了强光干扰、坐标、手枪、步枪4类型实验,实验结果表明,光幕靶速度测量精度为5%、坐标测量精度为5 mm。

考虑制造误差的摆线轮减速器转臂轴承承载分析

摆线轮减速器转臂轴承的承载性能和磨损状况与减速器的回转精度和寿命有密切关系。针对某150BX型摆线轮减速器轴承孔实际磨损状况,首先,建立转臂轴承的承载模型,明确了最大载荷及其方向的变化规律;然后,建立含制造误差的摆线轮和曲柄轴的运动模型,分析制造误差对转臂轴承运动过程中的干涉情况,获得了转臂轴承上最大干涉位置和误差选配方法。研究为摆线轮减速器转臂轴承的磨损计算和关键零部件的误差选配提供了依据。

复杂干扰杂波环境下三维目标检测前跟踪算法

针对因随机假目标干扰、强杂波存在的复杂环境中三维目标检测问题,提出一种基于平行线坐标变换的多层次检测前跟踪算法。雷达量测点被先后置于规格化后的径向距离-时间平面、方位角-时间平面和俯仰角-时间平面分层次进行非相参积累和点迹筛选,每次筛选只对上一层的筛选结果进行处理,再根据先验信息进行航迹约束和航迹融合,得到最终检测结果。通过仿真对算法进行性能验证和分析,结果显示,该算法在不同信干杂比、量测误差和杂波密度下均能有效滤除虚假量测点,实现真实航迹的检测。

D2D通信系统中基于图卷积网络的分布式功率控制算法

为有效控制终端直通(D2D)通信系统中的同频干扰并降低它的实现复杂度,提出一种基于图卷积网络(GCN)的分布式功率控制算法,旨在最大化所有D2D链路的加权和速率。首先将系统拓扑结构建模为图模型并定义节点和边的特征以及消息传递方式,随后借助无监督学习模型训练GCN中的模型参数。离线训练后,每条D2D链路可根据局部信道状态信息以及与相邻节点的交互过程来分布式地得到最佳功率控制策略。实验结果表明,相较于基于优化理论的算法,所提算法缩短了97.41%的运算时间且仅损失了3.409%的加权和速率;相较于基于深度强化学习理论的算法,所提算法具有良好的泛化能力,在不同参数设置下表现更加稳定。

基于改进坐标变换的某型航空装备成像画面研究

为帮助某型航空装备飞行员排除干扰快速精准地锁定目标,提出一种基于改进坐标变换的某型装备成像画面预测方法。将其同仿真软件的图形用户界面功能相结合开发了一套预测系统,通过利用该套预测系统进行目标成像画面预测,仿真输出结果可辅助飞行员排除干扰从而提升制导率。结果表明:该方法填补了某型装备成像画面预测方面的技术空白,具有实际意义与推广价值。

电涌保护器对电源系统干扰的影响分析

介绍电源系统干扰的概念、干扰类型、干扰特性,尤其是雷击电涌和操作过电压干扰;分析电涌保护器(SPD)对电源系统干扰的响应情况;指出应利用SPD对电源系统干扰的响应以提供对设备的保护。

Multicell power allocation method based on game theory for inter-cell interference coordination

As a new technology, coordinated multipoint （CoMP） transmission is included in LTE-Advanced study item. Moreover, the network architecture in LTE-Advanced system is modified to take into account coordinated transmission. Under this background, a novel power allocation game model is established to mitigate inter-cell interference with cellular coordination. In the light of cellular cooperation relationship and centralized control in eNodeB, the power allocation in each served antenna unit aims to make signal to interference plus noise ratio （SINR） balanced among inter-cells. Through the proposed power allocation game algorithm, the users＇ SINR can reach the Nash equilibrium, making it feasible to reduce the co-frequency interference by decreasing the transmitted power. Numerical results show that the proposed power allocation algorithm improves the throughput both in cell-center and cell-edge. Moreover, the blocking rate in cell-edge is reduced too.

Joint load balancing and interference coordination in multi-antenna heterogeneous networks

In heterogeneous networks（Het Nets）, it is desirable to offload users from macro cells to small cells to achieve load balancing. However, the offloaded users suffer a strong inter-tier interference. To guarantee the performance of the offloaded users, the interference from macro cells should be carefully managed. In this paper, we jointly optimize load balancing and interference coordination in multi-antenna Het Nets. Different from previous works, instead of almost blank subframes（ABS） on which the macro cells waste time resource, the macro cells suppress the interference to the offloaded users by zero-forcing beamforming（ZFBF） on interference nulling subframes（INS）. Considering user association cannot be conduct frequently, we derive the long-term throughput of users over Rayleigh fading channels while previous works focused on instantaneous rate. From the perspective of the spectrum efficiency and user fairness, we formulate a long-term network-wide utility maximization problem. By decomposing the problem into two subproblems, we propose an efficient joint load balancing and interference coordination strategy. Simulation results show that our proposal can achieve good system performance gains over counterparts in term of the network utility, cell edge throughput and average throughput.

Load-adaptive frequency reuse scheme for inter-cell interference coordination in relay networks

Cellular relay networks adopting orthogonal frequency division multiple （OFDM） technology has been widely accepted for next generation wireless communication due to its advantage in enlarging coverage scale as well as improving data rate.In order to improve the performance of user equipments （UEs） near the cell edge,especially to avoid the interference from inter-cell and intra cell,an enhanced soft frequency reuse scheme is adopted in this paper to assure inter-cell interference coordination （ICIC）.Compared with traditional frequency allocation work,the proposed scheme is interference-aware and load-adaptive,which dynamically assigns available frequency among UEs under certain schedule method in variable traffic load condition and mitigates interference using information provided by interference indicator.It can improve signal-to-interference plus noise ratio （SINR） of the UE in each sub channel thus enable the system achieve better throughput and blocking probability performance.Simulation results prove that the proposed scheme may achieve desirable performance on throughput,blocking probability and spectral utilization in the sector under different traffic load compared with other schemes.