LTE-Advanced中协作多点传输技术研究

为了提高小区边缘用户的性能,满足小区边缘频谱效率的要求,LTE-Advanced系统中引入了协作多点传输技术CoMP（Coordinated Multi-Point）。CoMP技术是一种干扰消除技术,通过小区间的联合调度和协作传输,使小区边缘的CoMP用户的干扰信号变为有用信号,或降低来自邻小区的干扰水平,从而提高小区边缘吞吐量,并且增强系统性能。文章主要介绍了协作多点传输技术及其原理,对CoMP技术中的协作簇选择、CoMP用户划分、用户传输方案及预编码做出了介绍,通过仿真对比得到采用CoMP技术的系统性能增益,最后对协作多点传输技术作出了展望。     

基于下行LTE-Advanced系统的协作多点传输技术研究

基于正交频分复用的LTE-Advanced系统具有对小区内干扰进行有效消除的作用,但是对于小区间干扰的消除能力较弱。协作多点传输技术(CoMP)可于上、下行对小区平均、边缘用户吞吐量进行分别提升,虽然该技术的应用会导致系统复杂度增加的问题,但其所具备的提高小区覆盖范围与容量的特点,依然值得我们给予它更多的关注。本次研究针对基于BBU+RRU模式的下行多用户MIMO(多输入输出)协作多点传输机制,给出了协作传输系统的模型并对接收信号检测进行了分析,系统级的仿真结果表明,新机制具有提高小区平均、边缘用户吞吐量的积极作用。     

LTE-A系统协作多点传输技术的性能分析和算法研究

作为控制邻小区干扰的一种有效手段,LTE-A系统下的协作多点传输技术成为近年来研究的热点之一。给出了协作传输系统的模型并对接收信号检测以及信噪比的计算进行了分析,提出了一种新颖的基于分布式数据流的多用户协作机制。以LTE系统单用户MIMO、多用户MIMO为参照,仿真了LTE-A系统单用户协作、多用户协作的传统机制和分布式数据流机制的的性能,并通过比较得出了新机制在吞吐量性能以及公平性方面的优势。     

基于干扰泄露控制和深度学习的分布式多点协作传输设计与优化

分布式多点协作传输在提升小区边缘用户的服务质量和系统频谱效率上具有巨大潜力，但通常站间频繁交换大量信息才能接近集中式多点协作传输的性能。然而，在实际无线通信系统中，考虑到信道时变性，频繁的信息交换和站间有限的回传带宽导致的较大时延给分布式多点协作传输技术带来严重的性能损失，因此其目前未得到广泛部署。为解决此问题，提出了一种新颖的信号质量衡量标准，称为信号平均泄漏加干扰噪声比（SALINR）。基于SALINR的设计使得站间无需信息交换即可实现完全分布式的联合传输。具体地，展示了基于SALINR的传输设计问题可以通过分式规划技术有效求解；进一步地，利用深度展开技术来设计波束赋形向量学习网络，从而有效减少计算复杂度。仿真结果表明，所提出的方法可接近集中式多点协作传输的性能且具有计算高效的优点。     

LTE—AdvancedCoMP中自适应动态小区选择方案

为了提高小区边缘用户的性能,满足小区边缘频谱效率的要求,LTE—Advanced系统中引入了协作多点传输技术（ CoMP, Coordinated Multi- Point transmission）。提出一种新的下行协作方案,该算法首先判定网络中的用户类型,其次为小区边缘用户选择协作集合。此方案利用信干噪比（SINR, Signal- to- Interference plus Noise Ratio）阈值自适应的确定协作小区的数量,能有效避免不必要的协作,能降低系统的信息传输负担。仿真结果表明,提出的算法相比已经存在的算法能够明显改善协作效率同时能够降低基站间的信息传输负担。     

LTE-A关键技术及标准化进展分析

LTE-A是LTE技术的平滑演进,引入了多载波聚合、中继、协作多点传输等关键技术。其中,多载波聚合是在频域上进行扩展,以满足LTE-A对高带宽的需求;中继技术能带来更广的覆盖范围和更高的系统容量,同时也面临干扰复杂化问题;协作多点传输技术能提高小区边缘的吞吐量;多天线技术通过增加上下行天线端口的数量,来提高峰值速率和频谱效率。     

分层组网场景下小基站ID分配算法研究

分层异构网络是下一代无线蜂窝网络的发展趋势,密集的多类型节点混合组网将给系统ID分配带来巨大的挑战。基于此,提出了一种适用于无线分层异构网络场景的小基站ID优化配置算法,将多层复杂网络进行扁平化,并灵活运用平面图理论有效地解决网络节点ID冲突和混淆问题,降低复用干扰,从而达到准确区分小区的目的。     

一种基于空间预滤波的多点分布式协作传输模式

针对多天线无线MIMO系统性能往往严重受限于邻近小区其他用户干扰的问题,提出了一种源于分布在不同地理位置且与中心控制单元相连的多个射频接入点(或基站)通过网络协作向用户发送信息信号的下行传输结构,并给出了相应的信号传输模型,同时基于脏纸码和迫零联合处理策略研究了空间预滤波优化设计方法。通过性能分析可看出,该多点协作模式能有效地抑制邻近小区的同频干扰,获得的系统性能接近于理想单小区无干扰用户,与此同时,若增加收发天线数目则能明显改善系统频谱效率。     

5G双小区协作流动热点补偿研究

在通信用户数密集用户业务总量较多的UMi场景下,无线网络节点较多小区覆盖半径较小,用户在小区间移动导致小区间用户分布不均匀,原有用户数及业务量标准部署的5G异构网络相对稀疏,无法满足用户流动产生热点热时容量需求时,双小区协作流动热点补偿采用异构网络多点协作传输技术对小区进行补热,将处于相同移动状态的多个用户虚拟成一个以中心用户为中心的用户簇,建立3D MIMO流动热点模型,提出在两小区以用户最小传输速率为约束条件,最小化小区基站总功率的优化算法,得出高容量、高速率用户体验的"潮汐效应"解决方案。     

协作多点传输中一种基于特征子信道的干扰对齐预编码矩阵优化方案

由于普遍采用频率复用因子为1的方式组网,多小区干扰已经成为限制无线蜂窝系统容量的主要因素.协作多点传输技术可以有效抑制蜂窝系统中多小区干扰问题,提高小区边缘吞吐率.近年来,作为协作多点传输的一种实现形式,干扰对齐技术受到广泛关注,其优势在于可以获得多小区系统最优的发送自由度.本文提出了一种在干扰对齐技术下基于特征子信道的预编码矩阵优化方案.本方案通过选取与最好的特征子信道对准的预编码矢量发送信号,使得信号经历最好的一组特征子信道,改善接收端的信号强度,从而达到提高系统吞吐量的目的.仿真结果表明,相比已有的预编码矩阵的设计方案,本文提出的方案在系统的吞吐量方面有明显的提升.     

Adaptive bit allocation scheme in multi-cell cooperative block diagonalization systems with delayed and limited feedback

In multi-cell cooperative multi-input multi-output(MIMO) systems,base station(BS) can exchange and utilize channel state information(CSI) of adjacent cell users to manage co-channel interference.Users quantize the CSIs of desired channel and interference channels using finite-rate feedback links,then BS can generate cooperative block diagonalization(BD) precoding matrices using the obtained quantized CSI at transmitter to supress co-channel interference.In this paper,a novel adaptive bit allocation scheme is proposed to minimize the rate loss due to imperfect CSI.We derive the closed-form expression of rate loss caused by both channel delay and limited feedback.Based on the derived rate loss expression,the proposed scheme can adaptively allocate more bits to quantize the better channels with smaller delays and fewer bits to worse channels with larger delays.Simulation results show that the proposed scheme yields higher performance than other allocation schemes.     

卫星通信系统的协同通信策略研究

提出了一种新的基于卫星通信系统的协同通信策略，利用两个协同中继进行Alamouti空时编码协同发送来提高系统的可靠性。该策略利用信道状态信息来解决何时协同和同谁协同的问题。仿真结果验证了该策略的有效性，并证明了在相同的星地链路下，同直接传输相比，该策略能够通过分集增益有效提高系统的BER性能。     

提高随机网络安全的干扰协调方法(英文)

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.     

D2D协作边缘缓存系统中基于传输时延的缓存策略

为了满足5G系统低时延高可靠的需求,针对单缓存终端直传(D2D)协作边缘缓存系统,提出了一种基于传输时延的缓存策略。运用随机几何理论,将请求用户和空闲用户的动态分布建模为相互独立的齐次泊松点过程,综合考虑内容流行度、用户位置信息、设备传输功率以及干扰,推导出用户的平均传输时延与缓存概率分布的关系式。以平均传输时延为目标函数建立优化问题,提出了一个低复杂度的迭代算法,得到平均传输时延次优的缓存策略。仿真结果表明,该缓存策略在传输时延方面优于常见的几种缓存策略。     

Beam interference suppression in multi-cell millimeter wave communications

Due to the increase in the number of users, beam switching is used for suppressing interference, which leads to higher computational complexity in multi-cell millimeter wave communications. In order to resolve this problem, a beam interference model is introduced, and a lower complexity beam interference suppression algorithm based on user grouping is proposed. The proposed algorithm operates beam switching and multi-cell cooperative transmission for a part of the users when there exists beam interference due to high user density. In particular, considering the distinct interference suffered by each user, the proposed dual-threshold user grouping method can effectively solve the frequent switching problem at the base station caused by multi-cell cooperative transmission in multi-cell environments. Simulation results show that the proposed algorithm can reduce the computational complexity of beam switching and approach ideal system capacity, compared with conventional interference suppression algorithms that do not involve grouping of users.     

Spectrum sensing and power/rate control in CDMA cognitive radio networks

In this paper, a two‐phase algorithm for the spectrum sensing and power/rate control of a secondary user (S‐user) or cognitive radio is proposed. In the first phase, the primary base station (P‐BS), which is conscious of both the number and the data rate of primary active users (P‐user), broadcasts theitusage capacity percentage (UCP) of its cell. Since knowing only the UCP is not enough to guarantee that the total load (of P‐users and S‐users) is less than a maximum permissible load, the S‐user must measure the total interference received from both the P‐users and other S‐users. In this direction, using both the UCP and measurement of the interference received from the P‐users and the S‐users by the S‐user or secondary base station (S‐BS), we mathematically derive an equation for issuing data transmission permission, which if it is held then the second phase of the algorithm: the transmit power/rate control starts. In this phase, the S‐user and the S‐BS look for feasible values for the transmit power level and transmission rate. If there are feasible values, it starts its transmission at these feasible transmit power and rate. Since both the location of the S‐user and the channel condition vary in time, the whole algorithm is iterated periodically with a period faster than the coherence time of the channel. Furthermore, we consider the down link of the above system with cooperation among neighboring S‐users to overcome fading channels and we investigate the amount of improvement in the reliability of the issuing data transmission permission. As well, we consider the uplink of the system with multiple antennas in the S‐BS to investigate the improvement in the same parameter over spatially correlated and independent fading channels. Theoretical analysis is validated using computer simulations. Both theoretical analysis and computer simulations show that the proposed cooperative spectrum sensing algorithm performs properly at SNR = ?5dB in flat Nakagami‐m fading channels with m = 1 even in correlated fading channels. We also address the improvement of the reliability of the issuing data transmission permission in the uplink in case of using multiple antennas only in the S‐BS. Copyright © 2011 John Wiley & Sons, Ltd.     

Cooperative communications for LTE‐advanced—relay and CoMP

The Long Term Evolution‐Advanced (LTE‐A) system is currently under development to allow for significantly higher spectral efficiency and data throughput than the LTE systems. In a wireless system based on orthogonal frequency division multiplexing with frequency reuse factor one, the achievable cell spectral efficiency is often limited by the inter‐cell interference or coverage shortage of base stations. In LTE‐A, coordinated multi‐point transmission/reception (a.k.a. multi‐cell MIMO or base station cooperation) and relaying technologies are being introduced to clear these major performance hurdles. In this paper, cooperative communication technologies being discussed in LTE‐A systems are presented, together with considerations on system design. Copyright © 2012 John Wiley & Sons, Ltd.     

基于认知无线电系统的协作中继分布式功率分配算法

协作通信与直接通信相比能够显著地提高系统性能.协作通信中的一个关键问题是管理中继节点及有效地进行功率分配.尤其对于频谱共享的认知无线电(Cognitive Radio,CR)系统,协作方案的设计不仅要最大限度地提高认知网络协作的功率效率,而且需要最小化对主系统的干扰.该文针对认知无线电系统的协作通信问题,在多个中继节点与源节点协同通信的场景下,提出了一种基于放大转发(Amplify and Forward,AF)模式下的功率分配及联合优化算法,在保证主系统传输性能不受影响的前提下,提高认知系统的传输速率.仿真结果表明该文提出的自适应协作传输方案,和直接传输及等功率传输方案相比获得了进一步的性能增益,中断概率显著下降.     

Optimal cooperative strategy based on quantum bat for cognitive radio of energy harvesting

In order to reduce energy consumption and improve spectral efficiency of the cognitive relay wireless communication system in 5G network,an optimal cooperative transmission strategy of information and energy was designed for cognitive relay radio with wireless energy harvesting.For the proposed optimal cooperative strategy,the maximal throughput formula and outage probability of secondary user were deduced.In order to resolve the derived maximum throughput equation,a quantum bat algorithm which was based on the optimization mechanism of quantum computing and bat algorithm was designed to solve the deduced equation,and the optimal cooperative transmission scheme for information and energy could be obtained.Simulation results show that the proposed optimal cooperative strategy not only can meet the information transfer demand of primary user,but also can realize the energy self-supply of the secondary user system and improve the communication quality of the secondary user.The proposed optimal cooperative strategy has a better performance than the cooperative strategy of existing cognitive relay radio for different simulation scenarios.     

Adaptive BU association and resource allocation in integrated PON‐WiMAX networks

This paper addresses the issues of Base station—User Association and Resources Allocation (BUA‐RA) in OFDM‐TDMA based broadband wireless access (BWA) networks under passive optical networks (PON)‐WiMAX integration. With the powerful coordination capability at the optical line terminal (OLT), a key technology of inter‐cell cooperative transmission (CT) is incorporated in the integrated network architecture, which is called cooperative PON‐WiMAX network (CPWN). To achieve an efficient integration and inter‐cell cooperative transmission in the CPWNs, the BUA‐RA scheme is critical to the Quality of Service (QoS) provisioning for each user. In order to minimize the network resource usage, we provide three new BUA‐RA schemes which first time employ the cooperative transmission in a multi‐cell BWA network. The three schemes are designed for three kinds of subscribers with different moving types, and can be adaptively applied based on the network load. Simulations are conducted to verify the proposed BUA‐RA schemes by comparing with those without cooperative transmission technology. Our results demonstrate the efficiency of our proposed schemes, which are based on mathematical formulations and linearization. Copyright © 2010 John Wiley & Sons, Ltd.