联合HARQ和AMC中继系统跨层优化设计

为了提高协作中继系统频谱效率性能,对Nakagami-m衰落信道中联合物理层自适应调制编码(AMC)和链路层混合自动请求重传(HARQ)协议跨层设计方法进行研究.首先提出一种状态转移图来分析计算协作中继系统的误包率(PER);然后建立了最大化系统频谱效率的跨层优化模型,并给出迭代求解算法;最后对3种HARQ协议下中继系统性能进行对比分析.仿真结果表明,协作中继系统的性能明显优于非中继协作系统,联合Ⅲ型HARQ的跨层设计可实现比联合Ⅰ型和联合Ⅱ型HARQ更高的频谱效率和更低的PER.     

HARQ系统中的功率与速率联合优化方法

研究了混合自动重传(HARQ)发送模式中子包最大重传次数、单次传输功率、子包长度、调制比特数、编码速率等参数与系统频谱效率之间的关系.基于IEEE 802.16e协议,以提高无线传输频谱效率为优化目标,提出HARQ系统接收端带信道参数的反馈模式,给出该模式区别于定参数传输模式功率分配和误包率的约束条件.在加性白色高斯噪声信道下建立模型,分析各参数对总体频谱效率的影响以及各参数相应的优化方法,提出一种次优可实现的迭代算法来自适应控制参数.仿真结果表明,该次优算法可以获得比固定参数的传统算法高的系统性能,使系统频谱效率随信道状况的变好而动态上升.在接收端准确测知信道状况的情况下,以低的算法复杂度取得高的系统传输频谱效率.     

自适应ARQ系统中基于跨层设计的优化方法

针对IEEE 802.16e系统中的混合自动重传请求（HARQ）协议,将数据链路层的子包传输机制与物理层的自适应调制编码技术（AMC）有效地结合,提出一种基于跨层设计的自适应参数优化选择方法,该方法以最大化系统吞吐量为目的,研究了HARQ子包数目和调制编码方式的联合最优解.同时,还给出了考虑链路层HARQ协议的AMC切换门限准则.仿真结果表明,该参数优化方案能够更好地匹配信道的时变特性,在增加少量复杂度为代价的前提下,实现了系统吞吐量的进一步提高.     

时延反馈下的自适应STBC-Beamforming跨层设计

为提高无线通信网络的频谱效率,提出了一种自适应STBC-Beamforming跨层设计方案. 该方案利用自适应编码调制技术和混合自动重传技术交互协作,使发射端可以根据反馈的延时信息自适应调节调制模式,选择发射权以及自动重传数据.推导了系统在时延反馈条件下的频谱效率和中断概率的闭合表达式,分析了时延反馈对于系统性能的影响.仿真结果表明,对比单发/单收跨层系统和Alamouti’s跨层系统,自适应STBC-Beamforming跨层系统的性能有明显提高.     

结合自适应调制和ARQ的跨层最优联合设计

考虑了一个结合自适应调制和自动重传请求的蜂窝下行系统,基站通过接收端的反馈获得其信道信息,然后在物理层通过自适应地选择调制和编码方式来最大化系统频谱效率,同时还在数据链路层采用自动重传技术来提高传输的鲁棒性.研究了在业务的平均延时约束下,通过最优选取自适应调制参数来最大化系统的频谱效率的方法.首先通过合理的假设对上述系统数学建模,然后将研究的问题建模为一个凸优化问题,并最终通过经典的拉格朗日乘数法给出了最优解.数值仿真表明本算法是最优的.     

单播链路中多数据流联合自动请求重传方法

为了提高单播链路的重传效率,发射端采用网络编码将多个重传数据流的增量冗余版本经过合并后再传输给接收端.基于置信传播(BP)算法,接收端从经过网络编码的组合数据流中检测出各个重传数据流,并和在前次传输时缓存的数据流软合并后译码.此外,再用BP算法将先译码成功的数据流从组合数据流中消除,以提高未成功译码数据流的检测性能.和单播链路上传统的多数据流独立自动请求重传(ARQ)相比,多数据流联合ARQ能够将单播链路的频谱效率提高大约10%,而仅导致低于22%的复杂度增加.     

自适应调制和HARQ跨层设计的中继协作系统能耗

为了提高协作中继系统能量效率,提出了一种节能的跨层设计方法.在Nakagami-m衰落信道中,通过物理层自适应调制和链路层混合自动重传请求(HARQ)协议跨层设计,首先建立HARQ状态转移图,推导协作中继系统平均总能耗和中断概率表达式,然后提出最小化系统平均总能耗的跨层优化模型,并给出该跨层优化模型的穷尽搜索算法,最后对比分析了非协作HARQ和协作HARQ协议下的中继系统能耗特性.仿真结果表明,协作HARQ比非协作HARQ更节能,且通过自适应调节星座尺寸b的大小,最多可节省80%的能量.     

基于QoS和距离感知的自适应协作差错控制机制

提出一种基于跨层交互的自适应协作差错控制策略,包括距离感知的中继选择和支持区分服务的服务质量(QoS)保障机制. 链路层采用混合自动重传请求(HARQ),物理层采用自动重传请求(ARQ),根据数据包传输特性建立马尔可夫链模型,感知性能进行中继选择;根据应用业务的多样性QoS需求,确定最佳差错控制方案. 仿真实验和数学分析结果表明,所提策略与传统ARQ和HARQ、协作ARQ和HARQ相比,在确保无线传感器网络传输高可靠性的同时缩短了时延并获得了较高吞吐率和能量效率.     

喷泉码纠错的无线网络切片传输时间分析

为了提高无线通信中网络切片传输的吞吐率,避免引入大量的反馈延时,将无重传的喷泉码机制用于无线网络切片的纠错传输.在该方案中,采用基于喷泉码的前向纠错机制代替传统的自动重传请求机制,实现网络切片的无线传输;并针对喷泉码纠错机制,优化了网络切片的切片方案.这种方案,通过喷泉码无重传以及低冗余度的纠错特性,可以降低网络切片传输协议的复杂度和传输延时;尤其在丢包率较大的网络环境下,单位时间内喷泉码方案可以传输更多的有效切片数据,提高无线网络切片的传输吞吐率.在此基础上,分别构建了基于喷泉码的无线网络切片传输系统和基于自动重传请求方案的无线网络切片传输系统,并对这两个系统的传输时间进行了分析和比较.仿真结果表明:当网络丢包率超过5×10-2时,网络切片采用喷泉码方案具有比自动重传请求方案更低的传输时间;当丢包率为10-1时,喷泉码方案的传输时间比自动重传请求方案可降低22%以上;随着丢包率的增大,喷泉码方案在传输时间上的优势更加明显.     

无线传感器网络MDC视频传输的跨层多径路由协议

将网络协议栈的跨层优化设计思想应用于多媒体无线传感器网络,提出一种基于视频编码峰值信噪比最优的跨层多径路由协议.在跨层多径路由模型中,以最大化应用层的多描述编码(MDC)峰值信噪比作为优化目标,通过物理层的丢包率测量和MDC层的信道容量估计联合确定网络层的多径路由属性,MDC的每个描述被映射到多条链路独立的路径上分别传输,最终在Sink节点进行汇聚.对随机生成的网络拓扑求取最小跳数节点的独立两路径路由和跨层多径路由,将Foreman视频分割成2个描述编码视频沿不同路由进行传输,仿真结果验证了跨层多径路由能够降低丢包率和提高平均PSNR.跨层多径路由协议能够提高MDC视频在无线传感器网络中的传输质量.     

Optimal power allocation and optimal relay selection for D2D communication

Cellular users can be regarded as relay nodes in cooperation with the Device-to-Device (D2D)communication so as to lower the cost, improve spectrum efficiency and solve the problems of network coverage, as well as improving service quality. In this paper an optimal power allocation and optimal relay selection algorithm based on network coding is proposed for using cellular users in the bidirectional relay nodes system. By fixing the total power of the D2D link to be transmitted, this algorithm optimizes the transmission power of each node, and selects the relay node which can maximize the channel capacity of the D2D link as the best relay node. Simulation results show that compared with other protocols, the proposed protocol can significantly improve the channel capacity of the D2D link.     

Cross-Layer Adaptive Resource Allocation Algorithm with Diverse QoS Requirements for Single-Cell OFDMA Systems

The orthogonal frequency division multiple access( OFDMA) based communication system has been considered as the main trend of next-Generation communication system. But the existing resource allocation algorithm designed for such system is always with high complexity thus hard to be realized. To solve such problem with the constraints of spectrum efficiency and buffer state,a novel cross-layer resource allocation algorithm( RAA) is proposed in this paper. The goal of our RAA is to maximize the system throughput while satisfying several practical constraints,such as fairness among services,head of line( Ho L) delay and diverse quality of service( Qo S) requirements. Due to these constraints,finding the optimal solution becomes a NPhard problem. Therefore in this paper a novel method to solve such problem with acceptable complexity is proposed within following steps: firstly,based on the link state we formulate the ideal subchannel allocation strategy as a convex optimization problem,which can be efficiently solved by our proposed lagrange multiplier technique subchannel allocation( LMTSA) algorithm; secondly,according to the obtained channel allocation matrix,a power allocation algorithm based on the water-filling power allocation( WPA) idea is deployed to get the optimal power allocation matrix combining with adaptive modulation and coding( AMC); finally,through a greedy algorithm,the ultimate subchannel and power allocation matrix can be obtained based on iterative method. The simulation results illustrate that we can achieve the higher throughput and better Qo S performance than the widely-used maximum throughput( MT) algorithm and round robin( RR) algorithm.     

Cross-layer design of combining AMC with HARQ in cooperative relay system with perfect and imperfect CSI

A cross-layer design which combines adaptive modulation and coding (AMC) at the physical layer with a hybrid automatic repeat request (HARQ) protocol at the data link layer (LL) is presented, in cooperative relay system over Nakagami-m fading channels with perfect and imperfect channel state information (CSI). In order to maximize spectral efficiency (SE) under delay and packet error rate (PER) performance constraints, a state transition model and an optimization framework with perfect CSI are presented. Then the framework is extended to cooperative relay system with imperfect CSI. The numerical results show that the scheme can achieve maximum SE while satisfying transmitting delay requirements. Compared with the imperfect CSI, the average PER with perfect CSI is much lower and the spectral efficiency is much higher.     

保密MIMO无线携能系统的鲁棒能效优化

针对多输入多输出无线携能系统,研究了在多个窃听者存在且其信道状态信息不准确情况下的保密能量效率优化问题．在最大发射功率和最小收获能量的约束条件下,通过联合设计波束成形矩阵、辅助噪声方差矩阵和功率分配比,最大化系统最差情况的保密能量效率．基于分式理论,将原来的非凸分式问题转换成易处理的减式形式．通过S-procedure和一阶泰勒级数展开,将难于处理的非凸问题转化为凸问题．在此基础上提出了基于Dinkelbach方法的两级优化迭代算法,仿真结果验证了该算法的有效性和收敛性．     

Design of the D2D multicast transmission scheme in the LTE communication system

In order to improve spectrum efficiency and transmission reliability of the LTE communication system, its terminal users can be divided into the D2D communication cluster. Specially, the multicast transmission of data packets in the LTE system can be realized through two hop transmissions, namely, the base station multicasts data packets to all cluster-heads and each cluster-head in the D2D communication cluster broadcasts the received packets. Considering that the links may be unreliable in the D2D communication cluster, the ARQ retransmission algorithm based on network coding is adopted. By establishing the lost-packet list, the cluster-head operates the lost-packets by network coding, and broadcasts the encoded packets to reduce the number of retransmission. Performance analysis and simulation results show that the proposed scheme can achieve almost the same transmission efficiency as the existing scheme, but has a lower computational complexity. Compared with the traditional multicast retransmission scheme based on network coding in the cellular communication mode, the scheme only retransmits the lost-packets in D2D cluster, to reduce the pachets transmission number of base stations and decrease the spectrum resource consumption of the cellular network effectively at a high packet loss rate.     

车联网基于信任度的RSU识别及资源分配算法

在车联网中,由于部分路侧单元（RSU）的位置比较偏远,无法得到网络管理员的及时维护,可能遭到攻击,变为不可信任的路侧单元,降低了车辆的通信质量和网络能效.为了有效地识别RSU的可靠性,提出了一种基于信任度的路侧单元识别及资源分配算法,将路侧单元识别、传输模式的选择和功率分配联合建模为网络能效的优化问题,并分成3个子优化问题,分别求解.首先,采用基于信任度的RSU识别算法,识别出可信任和不可信任的路侧单元;其次,优化车辆资源块配置和链路选择;最后,通过次梯度算法优化传输功率,最大化网络能效.理论分析和仿真结果表明,所提算法具备较低的复杂度,可以达到较高的路侧单元识别准确度,并有效地提升网络总能效.     

超密集网络中非合作博弈的功率分配算法

为了抑制超密集网络中小小区基站的密集化部署带来的干扰,并提高系统的吞吐量,本文研究了频谱共享超密集网络中的功率分配策略.首先,针对非凸的系统和速率最大化问题,采用非合作博弈模型将其转化为每个用户效益函数最大化的凸子问题,并通过设计一种动态定价使得非合作博弈模型的纳什均衡点（NE）是原优化问题的驻点.其次,为了保证宏小区用户的服务质量（QoS）,模型中引入了干扰功率约束条件来抑制宏小区受到的干扰.最后,在此非合作博弈论框架下,设计了一种迭代式的基于全局信息的功率分配算法.每次迭代通过求解KKT条件获得每个用户的最优发射功率,通过理论推导证明了迭代算法可收敛到博弈模型的NE.此外,为了减少迭代算法的信令开销、提高资源利用率,还提出了一种基于局部信息的功率分配算法.仿真结果表明,所提出的基于全局信息的功率分配算法比对比方法具有更好的传输性能,所提出的基于局部信息的功率分配算法在保证较好的传输性能的前提下有效地减少了信令开销.