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[ "余翔(1969-),男,重庆邮电大学通信与信息工程学院副教授,主要研究方向为通信网及交换技术、计算机网络及信息安全和下一代网络技术。" ]
[ "张海波(1990-),男,重庆邮电大学硕士生,主要研究方向为D2D通信的资源分配与功率控制。" ]
[ "杨路(1969-),女,重庆邮电大学通信与信息工程学院高级工程师,主要研究方向为通信网及交换技术、计算机网络及信息安全、下一代网络技术。" ]
网络出版日期:2017-04,
纸质出版日期:2017-04-20
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余翔, 张海波, 杨路. 混合D2D蜂窝网络中基于模拟退火算法的资源调度策略[J]. 电信科学, 2017,33(4):71-77.
Xiang YU, Haibo ZHANG, Lu YANG. Resource scheduling strategy based on simulated annealing algorithm in hybrid D2D cellular networks[J]. Telecommunications science, 2017, 33(4): 71-77.
余翔, 张海波, 杨路. 混合D2D蜂窝网络中基于模拟退火算法的资源调度策略[J]. 电信科学, 2017,33(4):71-77. DOI: 10.11959/j.issn.1000-0801.2017093.
Xiang YU, Haibo ZHANG, Lu YANG. Resource scheduling strategy based on simulated annealing algorithm in hybrid D2D cellular networks[J]. Telecommunications science, 2017, 33(4): 71-77. DOI: 10.11959/j.issn.1000-0801.2017093.
D2D 通信是未来5G 网络中一种近距离直通通信方式,在通信过程中,信息直接由发送端传给接收用户,而不需要经过基站的转发。在传统蜂窝网络中引入D2D通信可以极大地提升系统的总吞吐量、增大频谱资源的利用率以及降低发射终端的功耗。主要介绍了一种适用于混合D2D蜂窝网络中的资源分配方法,通过拉格朗日乘子法结合模拟退火算法实现频谱资源的分配,提出一种同时考虑信道容量和能耗的基于模拟退火算法的资源调度策略。本算法在维也纳仿真平台上经仿真验证,相比于传统贪婪优化算法,可以明显增大系统总吞吐量和频谱资源利用率。另外,算法中采用了分布式资源调度方法,D2D 用户根据算法步骤自行搜索适合的目标信道并计算其发射功率,可以有效减少基站的信令开销。
D2D communication is a short distance communication mode in the future 5G network.In the process of communication
the information is transmitted from the sender to the receiver directly
without the need to transmit through the base station.The introduction of D2D communication in the traditional cellular network can greatly improve the total throughput of the system
increase the utilization of spectrum resources and reduce the power consumption of the transmitter.A resource allocation method which was used in hybrid D2D cellular network was mainly introduced
spectrum resources was distributed by Lagrange multiplier method combined with simulated annealing algorithm
a consideration of channel capacity and energy consumption of the resource scheduling strategy based on simulated annealing algorithm was put forward.This algorithm was simulated by the simulation platform in Vienna
compared to the traditional greedy optimization algorithm
it can significantly increase the total system throughput and bandwidth utilization and reduce the power consumption.In addition
the distributed algorithm was adopted
that D2D users searched for a suitable target channel and calculated their transmit power according to the algorithm steps
which reduced the signaling overhead of the base station.
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