一种femto-macro异构网络多业务资源公平管理算法

摘要：针对毫微微蜂窝（femtocell）网络中多种业务（固定速率业务和可变速率业务）环境下如何公平分配毫微微蜂窝基站（femtocell base station, FBS）资源的问题,提出了一种基于比例公平算法的femto-macro异构网络资源分配算法。该算法以基于比例公平法则的可变速率用户的吞吐量为优化目标,并以每个用户的服务质量（quality of service, QoS）、FBS的下行传输总功率和宏蜂窝（macrocell）用户的跨层同频干扰门限值为约束组成优化问题。在上述资源分配最优化问题为凸优化问题的基础上,采用对偶分解算法进行求解。仿真结果表明,提出的算法在保证不同用户 QoS 的同时,不仅能够有效地公平分配资源给可变速率用户,而且降低了macrocell用户受到来自FBS的跨层同频干扰。     

认知无线网络中基于业务区分的自适应MAC协议

为了提高认知用户的接入效率,同时兼顾其QoS需求,提出了一种应用于认知无线网络的基于业务区分的自适应MAC协议。对不同业务采取不同的最优频谱检测时间,实时业务(RT)以最小化接入时延为目的确定最优的频谱检测时间,而非实时用户(NRT)则以最大化吞吐率为目标确定最佳的频谱检测时间。根据所确定出的最佳频谱检测时间,结合当前的业务到达速率和调度策略,不同业务以时隙Aloha的方式接入空闲频谱。理论分析和仿真表明,所提出的自适应MAC协议能够自适应地为认知用户的不同业务确定最优频谱检测时间,从而有效地提高频谱使用效率,保证不同业务的QoS需求。     

认知 mesh 网络服务区分的动态频谱接入策略

动态频谱接入策略是实现认知无线电网络高效利用频谱的关键。与传统认知无线电网络不同,认知mesh网络中不同QoS需求的多类型业务共同接入,为适应这一特点,提出服务区分的动态频谱接入策略。策略依据业务的QoS需求确立优先级,针对不同优先级业务采取不同的信道接入方案,实时业务依据最优传输延迟期望选择接入信道集合,在减小传输延迟的同时降低数据传输过程授权用户出现的概率,普通业务选择最优理想传输成功概率的信道,降低信道切换概率。理论与实验结果表明,与传统的认知网络频谱接入策略相比,提出的策略能提供不同业务的服务区分,满足实时业务的低延迟需求,降低数据传输的中断率,同时在授权信道空闲率与网络负载较大时吞吐量性能较优。     

马尔科夫链在认知无线网络中的应用研究

文章研究的是在认知无线网络中,动态频谱的接入方法。文章提出了一种基于马尔科夫链的动态频谱接入方法,利用主用户和次用户的业务特征,建立马尔科夫链理论分析模型,并对模型进行了详细的设计分析与仿真。仿真结果表明这种方法能有效地保证主用户业务的QoS,并且最大化次级用户的吞吐量。     

基于频谱预留的认知无线接入研究

动态频谱接入是认知无线电技术的一个重要应用,它利用通信过程中出现的频谱空洞机会式地接入频谱,能极大地提高频谱的利用率。文章基于马尔可夫理论提出了一种改进的频谱预留接入方案,即按照业务需求对用户进行用户模型改进,并根据优先级不同进行接入策略改进。仿真结果显示该方案能有效保障高优先级用户的服务质量。     

物联网距离和业务特征结合的频谱接入方法

针对物联网应用中的频谱使用特性提出一种距离和业务结合的频谱接入方法。首先根据非系统用户与系统用户的距离关系构建用于标识系统用户信道可用度的列表,以此提供非系统用户间的资源分配等级。其次,根据非系统用户和系统用户对信道使用特性建立业务匹配关系式,在可用度列表和业务匹配关系式的基础上,构建干扰驱动效用函数,从跨层优化角度设计频谱接入方法。结果证明该方案既能够抑制非系统用户对系统用户干扰,又能够确保物联网应用的服务质量的资源共享。     

认知网络中基于用户带宽需求的频谱接入策略

针对认知网络中的频谱接入问题,基于多类用户不同带宽需求提出了一种新的频谱接入策略,即基于用户带宽的动态信道接入策略(BRDSA)。首次提出考虑拥有不同带宽需求的主用户和次用户利用频谱聚合技术进行频谱接入,而频谱聚合技术能够提高次用户对离散频谱的利用率。根据相关网络模型,利用排队理论和马尔科夫模型对整个系统状态进行了分析。仿真结果表明这种动态频谱接入策略极大地提高了频谱利用率。     

认知无线电中一种新的频谱接入方法

提出一种新的可实行性频谱接入算法.利用爬坡方法求解目标函数,使得计算频谱接入参数可行.根据对主用户接收机端的干扰温度估计方法不同,提出了合作式频谱接入算法和非合作式频谱接入算法,并对两种方法进行了系统仿真和比较.     

VoLTE业务的性能分析及优化研究

VoLTE主要是指需要将全面的业务承载在4G网络上使用的一种IP数据传输技术,通过在统一网络下,能够促进数据与语音业务的有机统一.通过使用VoLTE,为用户带来更低的接入时延,有助于提升用户的语音视频通话质量.因此,需要推动VoLTE发展,不断的强化无线频谱的利用效率,降低网络成本,提升用户体验效果,促进移动宽带语音业务的快速发展.本文针对VoLTE业务,对其自身的业务性能进行分析,并且提出了VoLTE业务的优化方法.     

一种基于CoMP的随机接入方案

提出了一种新的基于协作多点传输和接收（CoMP）技术的多发随机接入流程,并根据 随机接入的目的和业务类型设计了接入优先级,在此基础上设计了一种新的随机接入方案, 对 不同类型的随机接入请求提供不同的接入机制,以保证边缘用户的接入性能和满足不同业务 的QoS需求。仿真结果表明,与LTE标准随机接入方案相比,该方案对系统整体接入性能略有 提高,且大大提高了边缘高优先级用户的接入性能。     

分层异构网络中基于斯坦克尔伯格博弈的资源分配算法

分层异构网络中家庭基站与宏基站之间往往存在干扰,如何分配资源以获得高谱率和高容量、保证用户性能一直是研究的重点。为了解决这个问题,本文提出了一种异构蜂窝网络中基于斯坦克尔伯格博弈的家庭基站与宏基站联合资源分配算法,算法首先基于图论的分簇算法对家庭基站和宏用户进行分簇和信道分配,以减少家庭基站之间的同层干扰和家庭基站层与宏蜂窝网络的跨层干扰;然后建立了联合家庭基站发射功率以及宏用户接入选择的斯坦克尔伯格博弈,推导出达到纳什均衡时的家庭基站发射功率的表达式,并据此为宏用户选择合适的接入策略。仿真结果表明,该算法能够有效地提高宏用户的信干噪比（SINR）,家庭用户的性能也得到改善。      

Pseudo-handover based subchannel and power adaptation scheme for interference mitigation in OFDMA two-tier femtocell networks

In the two-tier femtocell network,a central macrocell is underlaid with a large number of shorter range femtocell hotspots,which is preferably in the universal frequency reuse mode.This kind of new network architecture brings about urgent challenges to the schemes of interference management and the radio resource allocation.Motivated by these challenges,three contributions are made in this paper:1) A novel joint subchannel and power allocation problem for orthogonal frequency division multiple access (OFDMA) downlink based femtocells is formulated on the premise ofminimizing radiated interference of every Femto base station.2) The pseudo-handover based scheduling information exchange method is proposed to exchange the co-tier and cross-tier information,and thus avoid the collision interference.3) An iterative scheme of power control and subchannel is proposed to solve the formulated problem in contribution 1),which is an NP-complete problem.Through simulations and comparisons with four other schemes,better performance in reducing interference and improving the spectrum efficiency is achieved by the proposed scheme.     

An efficient interference mitigation approach via quasi‐access in two‐tier macro‐femto heterogeneous networks

Two‐tier heterogeneous networks, where the current cellular networks, that is, macrocells, are overlapped with a large number of randomly distributed femtocells, can potentially bring significant benefits to spectral utilization and system capacity. In a two‐tier network, the cross‐tier interference needs to be handled properly. Unlike the downlink interference, the uplink (UL) interference at femtocell caused by macrocell user equipment (MUE) has not been addressed sufficiently. When an MUE is located near the coverage of femtocell, its transmit power may cause UL interference to the femtocell receiver, especially for the closed subscriber group femtocells that share the entire frequency spectrum with macrocell. We propose a novel quasi‐access strategy, which allows the interfering MUE to connect with the interfered femtocell access point (FAP) while only via UL. It can significantly alleviate the UL interference at the FAP as well as its neighbors, in the meantime, benefit the macro‐tier. Copyright © 2013 John Wiley & Sons, Ltd.     

Co-Channel Operation of Macro- and Femtocells in a Hierarchical Cell Structure

In this paper, the feasibility of user-deployed femtocells in the same frequency band as an existing macrocell network is investigated. Key requirements for co-channel operation of femtocells such as auto-configuration and public access are discussed. Methods for femtocell power auto-configuration that ensure a constant cell radius in the downlink, and a low pre-definable interference impact on co-channel macrocells in the uplink are proposed. The theoretical performance of randomly deployed femtocells in such a hierarchical cell structure and the resulting impact on existing co-channel macrocells is analysed for a cellular UMTS network using system level simulations.     

Pricing and power control for energy‐efficient radio resource management in cognitive femtocell networks

Cognitive femtocell has been considered as a promising technique that can improve the capacity and the utilization of spectrum efficiency in wireless networks because of the short transmission distance and low transmit power. In this paper, we study the win–win solution of energy‐efficient radio resource management in cognitive femtocell networks, where the macrocell tries to maximize its revenue by adjusting spectrum utilization price while the femtocells try to maximize their revenues by dynamically adjusting the transmit power. When the spectrum utilization price is given by macrocell, we formulate the power control problem of standalone femtocells as an optimization problem and introduce a low‐complexity iteration algorithm based on gradient‐assisted binary search algorithm to solve it. Besides, non‐cooperative game is used to formulate the power control problem between collocated femtocells in a collocated femtocell set, and then low complexity and widely used gradient‐based iteration algorithm is applied to obtain the Nash‐equilibrium solution. Specially, asymptotic analysis is applied to find the approximate spectrum utilization price in macrocell, which can greatly reduce the computational complexity of the proposed energy‐efficient radio resource management scheme. Finally, extensive simulation results are presented to verify our theoretical analysis and demonstrate the performance of the proposed scheme. Copyright © 2013 John Wiley & Sons, Ltd.     

双层分级蜂窝网最优频谱分配与定价

针对异频组网的双层分级蜂窝网,提出了一种基于纳什谈判解法的最优频谱分配与定价策略,该策略能激励家庭基站采用开放用户组模式,最大化频谱效益。通过Stackelberg博弈建模,分析了频谱定价与用户需求的关系。通过纳什谈判解法,获得了最佳的频谱分配与定价策略,按需地为宏基站与家庭基站分配了带宽资源,定量地分析了家庭基站所提高的频谱效益。仿真结果表明,该策略相比非合作博弈方法,可有效提高运营商以及家庭基站拥有者所能获得的频谱效益,部署家庭基站将提高蜂窝网络的总效益。      

Interference management and performance analysis of UMTS/HSPA+ femtocells - [femtocell wireless communications]

Femtocells are low-power cellular base stations that operate in licensed spectrum. They are typically deployed indoors to improve coverage and provide excellent user experience, including high data rates. Cellular operators benefit from reduced infrastructure and operational expenses for capacity upgrades and coverage improvements. Femtocells also bring unique challenges, such as unplanned deployment, user installation, restricted access, and interoperability with existing handsets and network infrastructure. Although femtocells may cause some interference to other users in the network, with the use of proper interference management techniques, this can be well controlled. We present interference management techniques for both downlink and uplink of femtocells operating based on 3GPP Release 7 standards (also known as HSPA+). Femtocell carrier selection and femtocell DL Tx power self-calibration are proposed as key interference management methods for downlink. For uplink interference management, adaptive attenuation at the femtocell and limiting the Tx power of the femtocell users are proposed. Different interference models and their analysis are presented. In addition, coverage performance and capacity results are presented to quantify the benefits of femtocells. We demonstrate that in addition to coverage enhancements, significant capacity improvements are achieved on both downlink and uplink when femtocells are deployed in 3G UMTS/HSPA+ networks.     

Terminal density dependent resource management in cognitive heterogeneous networks

In cognitive heterogeneous network, when multitudes of femtocells coexist, effective resource management become important to enhance network performance. Based on the base station location and terminal distribution density, we propose spectrum management and power configuration scheme for femtocells deployment network. In the beginning, we consider two femtocells adjacent network and propose the resource management scheme. The scheme allocates time frequency resource by adopting complete reusing and private usage in non-overlapping and overlapping areas respectively. Subsequently the scheme optimizes base station power under the constraints of cross-tier interference and maximal transmission power to maximize network capacity. According to the analysis of the power variation effect to femtocell coverage, a near-optimal solution of the transmission power is derived, and the corresponding power configuration scheme is proposed. After then we extend the spectrum and power management to multiple femtocells coexisting networks, and propose the management scheme applied for multiple femtocells deployment networks. The simulation results indicate that in capacity performance, the proposed power solution is close to the optimal solution, and the proposed resource management outperforms the existing schemes.     

Stackelberg game for backhaul resource allocation in the two-tier LTE femtocell networks

As one promising technology for indoor coverage and service offloading from the conventional cellular networks, femtocells have attracted considerable attention in recent years. However, most of previous work are focused on resource allocation during the access period, and the backhaul involved resource allocation is seriously ignored. The authors studied the backhaul resource allocation in the wireless backhaul based two-tier heterogeneous networks （HetNets）, in which cross-tier interference control during access period is jointly considered. Assuming that the macrocell base station （MBS） protects itself from interference by pricing the backhaul spectrum allocated to femtocells, a Stackelberg game is formulated to work on the joint utility maximization of the macrocell and femtocells subject to a maximum interference tolerance at the MBS. The closed-form expressions of the optimal strategies are obtained to characterize the Stackelberg equilibriums for the proposed games, and a backhaul spectrum payment selection algorithm with guaranteed convergence is proposed to implement the backhaul resource allocation for femtocell base stations （FBSs）. Simulations are presented to demonstrate the Stackelberg equilibrium （SE） is obtained by the proposed algorithm and the proposed scheme is effective in backhaul resource allocation and macrocell protection in the spectrum-sharing HetNets.