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1.
针对多载波DSL系统在指定用户数据速率的情况下尽量降低传输功率,以降低对系统中其它设备的电磁干扰,提出了一种多用户比特加载算法.首先对该算法模型进行了分析,提出了数学公式,考虑了比特最高限额及功率最大值限制的情况,然后分析该问题的优化解的复杂度,最后在DSL系统环境下进行仿真,结果发现,该算法在2个用户的情况下与最优解几乎相同,比离散化的贪婪迭代算法性能要好,计算复杂度也较低.  相似文献   

2.
非正交多址 (NOMA)技术大大提高了频谱效率,并且支持海量连接,是第五代移动通信中最具潜力的多址技术。现有NOMA资源分配算法仅从功率分配或子载波分配单一角度出发,未实现两者的联合优化。因此,为实现发射功率受限时最大化系统总传输速率的优化目标,在子载波分配方案确定的情况下,提出一种基于固定子载波分配的功率分配方案。在此基础上,提出一种基于速率贡献比的删除准则,以实现子载波和功率的联合优化。仿真结果表明,该方案明显优于传统的NOMA功率分配方案,不仅降低了算法复杂度,而且提升了系统性能。  相似文献   

3.
针对多用户OFDM系统,将其信道分配和比特分配相结合,提出了更优的OFDM多用户组合调制自适应分配算法(MCABA),并对该算法进行了理论分析和Matlab6.5.1系统仿真。该算法在系统总的传输速率一定和满足传输质量的基础上,与现有的OFDM自适应算法相比,可以获得更优的功率、信噪比性能和频率效应。  相似文献   

4.
研究了多用户场景下多载波码分多址系统(MC—CDMA)的下行信道和功率分配,并将吞吐最大化问题建模成一个混合整数优化问题.为了简化分析,将问题分成2个低复杂度的子问题:功率分配和信道分配.这2个子问题可分别被一个次最优自适应功率分配算法(APA)和一个最优自适应信道分配算法(ACA)解决.通过联合APA和ACA算法,进一步提出了一个自适应信道和功率的分配方案.仿真结果表明:与传统的均匀功率分配算法相比,提出的APA算法更加适用于MC—CDMA系统;此外,提出的自适应信道和功率分配方案可以显著地提高系统吞吐量性能.  相似文献   

5.
相对于相干检测,由于在收发端不需要信道状态信息,非相干UWB通信在信噪比方面会有近3dB的性能损失.为了克服这一性能差距,提出了一种有效的基于多频带UWB系统的差分编译码方案.该方案在发射端使用2个并行级联的递归酉差分空频编码器对数据进行编码.接收端的2个分量译码器通过互相交换软度量值对数据进行译码.为了降低接收机的计算复杂度,给出一种只使用转移概率计算信息比特似然比的译码算法.仿真结果表明,在较少迭代次数下,算法性能远优于传统非相干检测,在高信噪比时,其性能甚至超过了相干检测.  相似文献   

6.
为了减少MAP算法的复杂度 ,可以采用减状态或减搜索技术 .本文提出了一种完全基于M算法原理、应用于Turbo均衡的减少搜索的软输出检测算法 ,它是一种次最佳的Lee算法 .该算法称为软输出M算法 (SO M 算法 ) ,它同时在Lee算法的前向迭代及扩展前向迭代中采用了M策略 .计算机仿真结果表明 ,通过适当选择和调整Turbo均衡迭代过程中算法的广度参数和深度参数 ,该算法可获得较好的性能与复杂度的折衷 .  相似文献   

7.
针对如何增加MIMO—OFDM系统数据传输速率的问题,本文研究了MIMO—OFDM系统中四种典型的自适应算法,并通过MATLAB仿真软件平台,对这四种自适应算法的性能进行比较分析,得出相应数据及结论.研究表明,在这四种算法中,自适应门限算法能分配到较多的比特数,且分配到高比特数情况的次数较多.另外还可看出,该算法能保证总发射功率恰如其分地运用到每个子载波上,而不是由于平均分配使得某些功率因不适当的运用而被浪费.  相似文献   

8.
在Q/GDW 1379.4-2013通信单元检验技术规范对载波通信单元功率消耗的限定要求下,为了有效提高低压电力集抄台区电能信息的采集速率,建设高速实时、双向智能的用电信息采集系统,提出了一种基于分子带的电力线载波速率最大化算法。以带宽2~30 MHz为信号载频,结合Homeplug AV规约下的子载波自适应调制方式,将相邻子载波进行逻辑分组为子带,以中值信噪比门限算法为基础,融入贪婪功率分配机制,合理分配分子带比特数,得到了最大化载波速率。仿真结果表明:较传统的信噪比门限算法和Homeplug AV自适应比特分配算法,提出的算法具有更高的载波速率,而相比于传统贪婪算法,虽达到的载波速率略低,却极大地降低了计算复杂度和硬件开销。  相似文献   

9.
在5G通信用户信息高吞吐量和大规模连接应用场景下,稀疏多址接入(sparse code multiple access,SCMA)可用于改善5G智慧场景通信质量。为了降低SCMA系统检测端算法复杂度,基于Max-log-MPA算法,提出了一种基于单阈值门限和区间范围的多参数组合设定的消息传递算法。在用户信息值迭代运算前利用门限阈值进行判断,当满足设定条件后方可参与算法的迭代过程,迭代计算过程中再次设定区间参数进行过滤筛选,使得通信场景所需的用户节点概率值参与计算,用户信息得到译码,2部分参数均可一定程度筛选用户信息值,从而达到降低算法复杂度的目的。仿真结果表明,提出的算法收敛速度和算法复杂度明显优于消息传递算法(message passing algorithm,MPA),误比特率(bit error ratio,BER)性能损失也可得到保证,在误码率性能和算法复杂度权衡之间有灵活的参数组合方案,具有很强的适应性。  相似文献   

10.
为了提高MIMO SC-FDE系统的检测可靠性、降低系统复杂度,提出一种新的迭代干扰消除检测算法,并推导出分集接收界作为评价算法性能优劣的依据.该检测算法采用基本的线性均衡算法提供初始值,在迭代中尽量消除层间干扰,利用空间分集增益逐步提高检测可靠性.结果表明,该算法在4QAM调制方式下,Eb/N0为9 dB时逼近分集接收界;在16QAM调制方式下,Eb/N0为16 dB时逼近分集接收界.该算法一轮迭代的计算复杂度与发射天线的数目成线性关系,天线规模为3×3以上时算法复杂度低于V-BLAST.因此,所提算法适用于天线规模数大于等于3、调制进制数大于等于4的系统中,在倾向于采用large MIMO系统的5G及后5G时代具有高效性和实用性.  相似文献   

11.
High-speed train communication system is a typical high-mobility wireless communication network. Resource allocation problem has a great impact on the system performance. However, conventional resource allocation approaches in cellular network cannot be directly applied to this kind of special communication environment. A multidomain resource allocation strategy was proposed in the orthogonal frequency-division multiple access (OFDMA) of high-speed. By analyzing the effect of Doppler shift, sub-channels, antennas, time slots and power were jointly consid- ered to maximize the energy efficiency under the constraint of total transmission power. For the purpose of reducing the computational complexity, noisy chaotic neural network algorithm was used to solve the above optimization problem. Simulation results showed that the proposed resource allocation method had a better performance than the traditional strategy.  相似文献   

12.
This paper deals with the design and performance analysis of the transmission precoder optimization for multiple-input multiple-output (MIMO) systems with limited feedback of channel state information (CSI). We assume that the receiver can get perfect channel knowledge by channel estimation while the transmitter only has partial channel knowledge from limited feedback. We present a minimum mean square error (MMSE) criterion based codebook construction algorithm for MIMO pre- coded spatial multiplexing systems under a specific average power constraint. The optimal transmitter structure is employed in this paper. Simulation results show that the MMSE criteria based codebook construction algorithm with hybrid design of power allocation and precoding can achieve better performance than that of equal power allocation based codebook of previous research.  相似文献   

13.
对高速铁路下行MIMO-OFDM系统中的动态资源分配问题进行研究.联合考虑子载波、天线、时隙和功率,将多维资源分配问题建模为混合整数非线性规划问题.分析移动速度对多普勒频移的影响,并计算子载波间干扰功率.在总发射功率不超过一定阈值的约束条件下,将最大化系统吞吐量作为优化目标.为了降低求解最优化问题的计算复杂度,采用两步求解法得到次优解.首先,在等功率分配的前提下,将子载波、天线和时隙分配给不同用户.然后,根据第1步资源分配的结果,进行功率分配.仿真结果显示,提出的多维资源分配策略与已有策略相比在系统吞吐量方面具有较大的性能提高.  相似文献   

14.
Optimal resource allocation is critical to the efficiency of cooperative communications. In this paper, we develop an auction-based power allocation mechanism for network-coded cooperation in wireless networks, in which the sources compete for the relay power for maximum utility, while the relay node assigns the resource in accordance with the bids from the sources. Moreover, to improve the resource utilization, the relay node is allowed to perform network coding across the received information for the same destination. Finally, numerical results validate the performance of the proposed algorithm, and show that there exists a tradeoff between the system outage probability and the power consumed at the relay node.  相似文献   

15.
目前大规模的并行分布多处理机系统中,调度算法好坏直接影响计算系统的高性能计算潜力能否发挥,调度的目的就是如何分配资源使系统性能最优。本文主要讨论分布式多处理机系统进行任务调度时的关键问题,包括问题模型的描述,调度策略,常用算法,评估标准,数据平台以及该问题的发展趋势。  相似文献   

16.
In this letter, we present a modified vector-perturbation precoding scheme for the multiple-input multiple-output broadcast channel, where a perturbation vector is chosen to take into account both the instantaneous power and the instantaneous peak power of the transmitted signal. This perturbation vector is obtained by using the closest point search, with the aid of the lattice-reduction algorithm. Simulation results show that the proposed scheme yields a tradeoff among power efficiency, peak-to-average power ratio reduction, and complexity.  相似文献   

17.
This paper deals with design and analysis of user scheduling and power allocation for multi-antenna OFDM systems with DPC, ZF-DPC, ZF-BF and TDMA transmit strategies. We consider the general multi-user downlink scheduling problem and power minimization with multi-user rate constraints. According to the channel state, it is shown that there is a power optimal policy which selects a subset of users in each scheduling interval. We present user selection algorithms for DPC, ZF-DPC, ZF-BF and TDMA for multi-antenna OFDM system in broadcast channels, and we also present the practical water-filling solution in this paper. By the selected users with the consideration of fairness, we derive the power optimization algorithm with multi-user rate constraints. We also analyze the power duality of uplink-downlink for the transmit strategies of DPC, ZF-DPC and ZF-BF. Simulation results show that the present user-scheduling algorithm and power minimization algorithm can achieve good power performance, and that the scheduling algorithm can guarantee fairness.  相似文献   

18.
We propose the spectrum allocation and resource scheduling algorithms in cognitive point to multipoint (PMP) networks with rapid changes of spectrum opportunities and present a media access control (MAC) protocol based on these algorithms. The objective of spectrum allocation is to make efficient use of the spectrum while maintaining the transceiver synchronization on frequency and time in the network. The objective of resource scheduling is to guarantee the quality of service (QoS) requirements of different kinds of connections and to minimize the total energy consumption in the network as well. By sensing only a small set of possible channels in each slot based on the state transition probability of each channel, our spectrum allocation algorithm achieves high spectrum efficiency in the network. The resource scheduling problem is divided into three sub problems and we derive optimal solutions to these problems by greedy algorithm and convex optimization. The simulation results show that our algorithm can make efficient use of the spectrum and the network resources at a cost of low computational complexity.  相似文献   

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