混合频谱共享方式下多用户动态频谱分配算法

为解决混合overlay/underlay频谱共享方式下多用户动态频谱分配问题,构建了混合频谱共享方式下动态频谱分配模型,提出了基于Q学习的多用户动态频谱分配算法. 该算法在不对主用户产生有害干扰的前提下,以最大化次用户总吞吐量为目标,构建了与次用户相对应的虚拟次用户作为智能体. 通过与环境交互学习,进行信道和共享方式初选;频谱分配系统根据冲突情况和各智能体的学习结果调整信道分配策略直至次用户间无冲突. 仿真结果表明,该算法在无信道检测和信道先验知识的条件下,能根据前一时隙信道状态和次用户传输速率需求,实现动态信道分配和频谱共享方式确定,避免次用户间冲突,减少主次用户间冲突,有效提升次用户总吞吐量.     

基于Android的多用户位置共享及实时通信系统

为了给用户生活中实时交流、出行、集会等方面提供便利,本文针对移动互联网通信中多用户如何位置共享及实时通信的问题,详细阐述了一个性能较好、可行度较高的设计方案并给出了相关系统的具体开发和实现方法.本系统基于Android系统,采用了高德地图、网易云信的SDK和API及RSA加密技术,实现了多用户定位、导航、实时通信等功能并保证了交互过程的安全性,为其他有关地图或通信的Android系统设计提供了参考.     

Performance analysis of multiuser selection diversity in SIMO spectrum sharing systems

In this paper, a performance analysis is presented for user selection schemes in a single‐input multiple‐output spectrum sharing system. In the considered system, multiple secondary users try to use the licensed spectrum of a primary user in an opportunistic manner, in which an interference constraint for the primary user is satisfied. In this paper, we first use 2 conventional user selection schemes for single‐input multiple‐output spectrum sharing system and analyze the system performance for each scheme. We then propose a new user selection scheme that can overcome the limitations of those 2 conventional user selection schemes. As for the performance analysis, the average channel capacity, the outage probability, and the bit error rate performances of the system using the presented user selection schemes are analyzed and mathematical closed‐form expressions for the outage probability are derived. The performances of the system are evaluated using the derived mathematical formulas in different cases. In addition, Monte Carlo simulation results are also provided to show the accuracy and correctness of the performed analysis.     

Investigation on multiuser diversity in spectrum sharing based cognitive radio networks

A new form of multiuser diversity, named multiuser interference diversity, is investigated for opportunistic communications in cognitive radio (CR) networks by exploiting the mutual interference between the CR and the existing primary radio (PR) links. The multiuser diversity gain and ergodic throughput are analyzed for different types of CR networks and compared against those in the conventional networks without the PR link.     

Capacity enhancement of secondary links through spatial diversity in spectrum sharing

Previous investigations on capacity of secondary users in spectrum-sharing environments have determined the capacity of a secondary link based on the interference power threshold set at the primary receiver. In contrast to these previous works, we show that the capacity of a secondary link is determined based on a geographical relationship expressed as the ratio of the distance between the primary receiver and secondary transmitter to the distance between the secondary transmitter and receiver. Proceeding from that and in an effort, to enhance the capacity of the secondary user, which is limited by this distance-ratio, we adopt a secondary transmitter with Μ antennas. Furthermore, we analyze the capacity achieved using a simple antenna selection process.     

认知频谱共享系统最大比例合并分集的性能分析

研究了一个认知频谱共享系统,该系统是由一个次用户发射机、一个次用户接收机和一对主用户发射机和接收机组成,次用户接收机利用最大比合并策略提高系统性能。首先分析了来自主用户发射机的干扰对频谱共享系统中断概率的影响。经过一些运算得到了中断概率确切的封闭表达式,为评价系统关键参数的联合作用提供了有效手段,如次用户接收机天线的数目、次用户最大的发射功率、干扰温度限制以及主用户发射功率等。另外,还对系统中断概率的渐近性能进行了研究,揭示了次用户系统中断概率具有饱和现象。最后,分析了该系统分集复用增益。仿真结果表明,该中断概率确切封闭表达式与Monte Carlo仿真结果非常吻合,干扰温度约束和主用户的干扰对中断概率具有显著的不利影响,增加次用户接收机的天线数目可提高系统性能。     

Inter-operator spectrum sharing scheme for reconfigurable system

Bargaining based mechanism for sharing spectrum between radio access networks (RANs) belonging to multioperators is studied, to improve spectrum utilization efficiency and maximize network revenue.By introducing an intelligent agent, each RAN has the ability, which includes trading information exchanging, final decision making, and so on, to trade the spectrum with other RANs.The proposed inter-operator spectrum sharing mechanism is modeled as an infinite-horizon bargaining game with incomplete information, and the resulting bargaining game has unique sequential equilibrium.Consequently, the implementation is refined based on the analysis.Simulation results show that the proposed mechanism outperforms the conventional fixed spectrum management (FSM) method in network revenue, spectrum efficiency, and call blocking rate.     

Multi-user diversity analysis in MISO amplify-and-forward relaying network

This article analyzed multi-user diversity performance for multiple input single output (MISO) amplify-and-forward (AF) relaying network with selection combiner, and the closed-form outage probabilities for variable gain relaying and fixed gain relaying network are derived. Based on these results, diversity order is presented for variable gain relaying network. Simulation results validate the derived theoretical results, and the diversity order of variable gain relaying network with Nr available relays is K(Nt+Nr) in K users' scenario, where Nt is the number of source transmitter antennas.     

An overview of spectrum sharing techniques in cognitive radio communication system

As the complexities of wireless technologies increase, novel multidisciplinary approaches for the spectrum sharing/management are required with inputs from the technology, economics and regulations. Recently, the cognitive radio technology comes into action to handle the spectrum scarcity problem. To identify the available spectrum resource, decision on the optimal sensing and transmission time with proper coordination among the users for spectrum access are the important characteristics of spectrum sharing methods. In this paper, we have technically overviewed the state-of-the-art of the various spectrum sharing techniques and discussed their potential issues with emerging applications of the communication system, especially to enhance the spectral efficiency. The potential advantages, limiting factors, and characteristic features of the existing cognitive radio spectrum sharing domains are thoroughly discussed and an overview of the spectrum sharing is provided as it ensures the channel access without the interference/collision to the licensed users in the spectrum.     

Approaches to spectrum sharing

Many complain about severe spectrum shortage. The shortage comes from outdated spectrum policies that allows for little sharing. Regulators have granted licenses that offer exclusive access to the spectrum. When these licensees are not transmitting, the spectrum sits idle. A new technology regarding spectrum shortage enables more spectrum sharing that unleashes innovative products and services, provided that we adopt the appropriate spectrum policies. Two camps are pushing for extreme reform, one for "property rights" and the other for "spectrum commons". This article presents concepts underlying the "property" and "commons" debate, clarifies options for spectrum reform, and describes the trade-offs of spectrum sharing     

Feasibility study on spectrum sharing between a DS-CDMA mobileradio system and a fixed point-to-point microwave link

General techniques are presented to investigate the feasibility of spectrum sharing between a DS-CDMA mobile radio system and a fixed point-to-point microwave link. The requirements for spectrum sharing are determined for specific system parameters and indicate that, in many situations, spectrum sharing will be difficult to implement     

Multi-user selection diversity for spread-spectrum multi-carrier multiple-access systems

Recently, Multi-User Selection Diversity (MUSDiv) for single-carrier systems has been under extensive study on account of the enhancement it provides to system performance with minimum feedback requirements. However, its application to multichannel systems is considered straightforward and thus, it has not been thoroughly examined. In this paper, the performance of MUSDiv is investigated when applied to the spread-spectrum multi-carrier multiple-access system, where the scheduling has to be performed for all the available channels and self interference must also be considered. Specifically, based on the absolute and normalized Signal-to-Noise-Ratio (SNR) scheduling algorithms, two algorithms are presented, modified and optimized, so that they can be applied on a subband instead of a single-channel basis. Moreover, we propose a new scheduling scheme which constitutes a trade-off between the previous schemes, concerning fairness and capacity performance. The new algorithms are related to the symbol Signal-to-Noise-plus-Interference-Ratio (SNIR) instead of SNR and two interference models were devised to this end. Closed-form expressions for the system capacity are extracted for each case, which are compared with simulation results. The research is also extended to the case of non-identical user power profiles among the available subcarriers. The channel state information required to utilize multi-user selection diversity is already necessary for the most common combining schemes, so no more feedback is actually needed.     

Particle swarm optimization applied to a spectrum sharing problem

It is recognized that the centralized approach to spectrum management currently used in most countries has led to highly inefficient allocations. It means available spectrum regulated by Static Spectrum Allocation Policy is underutilized over certain bands while in others remain scarce. In this context, spectrum sharing techniques are proposed to recycle bands in order to solve the problem of spectrum scarcity and use the limited spectrum resource as effectively as possible. Due to spectrum sharing is a complex issue; in this work we proposed a heuristic optimization approach applying particle swarm optimization (PSO) to maximize the sum throughput for the maximum number of secondary links that can be admitted to the network under interference constraints.     

QoS保证的多信道混合接入CRN频谱共享策略设计

根据既不对主用户(Primary Radio user,PR)产生干扰,又对认知无线电用户(Cognitive Radio user,CR)提供QoS保证的原则,将认知无线电网络(Cognitive Radio Network,CRN)中多信道接入频谱共享问题建模为混合整数非线性规划。采用多级功率限制保证PR不被干扰,以CR物理层能够提供的速率作为信道和功率分配的依据,提出将能够为CR提供最大传输速率的信道分配给该CR的分配策略,将混合整数非线性规划转化为整数线性规划,并给出集中式启发算法和基于功率速率比(Power Rate Ratio,PRR)最小的分布式启发算法求解该整数线性规划。仿真结果表明,文中给出的算法能够提供较高的CRN吞吐量和较好的CR用户QoS保证。     

Robust spectrum sensing under noise uncertainty for spectrum sharing

Spectrum sensing plays an important role in spectrum sharing. Energy detection is generally used because it does not require a priori knowledge of primary user, (PU) signals; however, it is sensitive to noise uncertainty. An order statistics (OS) detector provides inherent protection against nonhomogeneous background signals. However, no analysis has been conducted yet to apply OS detection to spectrum sensing in a wireless channel to solve noise uncertainty. In this paper, we propose a robust spectrum sensing scheme based on generalized order statistics (GOS) and analyze the exact false alarm and detection probabilities under noise uncertainty. From the equation of the exact false alarm probability, the threshold value is calculated to maintain a constant false alarm rate. The detection probability is obtained from the calculated threshold under noise uncertainty. As a fusion rule for cooperative spectrum sensing, we adopt an OR rule, that is, a 1‐out‐of‐N rule, and we call the proposed scheme GOS‐OR. The analytical results show that the GOS‐OR scheme can achieve optimum performance and maintain the desired false alarm rates if the coefficients of the GOS‐OR detector can be correctly selected.     

Radio resource management for large constellations in a spectrum sharing environment

In the last five years, the satellite community has witnessed growing interest in the delivery of Broadband Services from non‐geostationary orbit (NGSO) systems. However, accessing the entire spectrum available without having to share it among the different operators is key for these systems to have a chance of breaking even, which makes for a challenging business case. This paper focuses on the challenges of spectrum coexistence of multiple satellite constellations for broadband communications and proposes a radio resource management algorithm to enable such coexistence.     

基于深度强化学习的工业物联网多用户频谱分配

随着5G时代的来临,工业物联网将迎来蓬勃发展.然而,联网设备数量的不断增加,加剧了有限的频谱资源与大量的通信需求之间的矛盾.针对以上问题,提出了一种基于聚类分组和深度强化学习的合作式动态频谱分配算法,使用户可以获得较低的信息传输中断概率以及较少的多跳转发次数,快速找到信息传输的最优路径.在动态频谱分配中,该算法可以有效...     

基于干扰对齐的认知 MIMO 系统频谱共享与用户调度简

在认知MIMO多用户通信场景中,设计基于干扰对齐的信号处理算法,将认知信号与授权信号通过相互正交的子空间进行传输,实现认知用户对授权系统空闲空间信道的无冲突利用,并根据不同信道矩阵的空间传输性能的差异,实现合理的用户调度。仿真结果表明,所提方法能够有效利用空闲空间信道资源,获得多用户分集增益,在不影响授权业务的前提下提高认知用户的传输速率。     

认知无线电网络子空间映射频谱共享

针对集中式多用户多天线认知无线电网络,分析了子空间映射能够为认知系统提供的通信机会以及理想信道条件下的空间子信道分配方案。在此基础上,提出了一种基于子空间映射的频谱共享策略。根据认知系统的感知结果,计算可以利用的空间子信道数,通过认知用户接入控制和子空间映射避免或抑制系统间干扰,从而在保证授权用户通信质量的前提下,为认知用户提供通信机会。仿真结果表明,与已有的子空间映射频谱共享方法相比,该策略不仅具有更高的认知系统可达和速率,而且能够为认知系统提供更多通信机会。     

我国频谱共享的可行性研究与推进建议

目前,我国工业和信息化领域一系列战略稳步推进,5G、移动互联网等信息技术快速发展,无线电频谱资源的稀缺性再次凸显。频谱共享为解决频谱资源的稀缺问题提供了解决方案,并被国际主流国家积极推行。在分析国内外频谱共享研究与应用现状的基础之上,进一步讨论了我国推行频谱共享的意义和挑战,给出了频谱共享可行性评估和分析框架,并提出了频谱共享的推进建议。