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QoS-oriented joint optimization of concurrent scheduling and power control in millimeter wave mesh backhaul network
Journal of Network and Computer Applications ( IF 7.7 ) Pub Date : 2020-11-21 , DOI: 10.1016/j.jnca.2020.102891
Zhongyu Ma , Jie Cao , Qun Guo , Xiangwei Li , Hongfeng Ma

Millimeter-wave mesh backhaul network (mm-wave MBN) is a key potential technology for massive traffic backhaul in 5G and beyond. However, one of the most urgent challenges is the high capacity and green backhaul solution. To that end, a QoS-oriented joint optimization of concurrent scheduling and power control is investigated, where the QoS demands of the transmission flows are fully considered. Firstly, the QoS-oriented joint optimization problem of concurrent scheduling and power control is formulated as a mixed integer nonlinear programming (MINLP) problem, where the energy consumption is reduced and the number of the successfully transmitted flows is enhanced. Secondly, a heuristics and energy-efficient backhaul mechanism (HEBM) is proposed for the suboptimal solution obtained in polynomial time because that the formulated problem is a NP-hard problem. The HEBM is composed of two parts, i.e., concurrent scheduling algorithm and power control algorithm. In the first algorithm, the concurrent scheduling set is decided with the maximum independent set of the constructed conflict graph and the defined priority of the transmission flow. In the second algorithm, the transmission power of each flow is calculated. Thirdly, the relationship between the key threshold of HEBM and the transmission power is derived and verified. Finally, HEBM is compared with the state-of-the-arts and the superiority of HEBM is demonstrated through extensive simulations under various traffic modes and system parameters.



中文翻译:

面向毫米波网回程网络中面向QoS的并发调度和功率控制联合优化

毫米波网状网络回传网络(mm-wave MBN)是5G及更高版本中大规模流量回传的一项关键潜在技术。但是,最紧迫的挑战之一是高容量和绿色回程解决方案。为此,研究了同时进行调度和功率控制的面向QoS的联合优化,其中充分考虑了传输流的QoS要求。首先,将同时调度和功率控制的面向QoS的联合优化问题表述为混合整数非线性规划(MINLP)问题,该问题减少了能耗,增加了成功传输的流量。其次,针对多项式时间获得的次优解,提出了启发式高效节能回程机制(HEBM),因为其提出的问题是NP难问题。HEBM由并发调度算法和功率控制算法两部分组成。在第一种算法中,并发调度集由所构造的冲突图的最大独立集和传输流的已定义优先级决定。在第二种算法中,计算每个流的传输功率。第三,推导并验证了HEBM关键阈值与传输功率之间的关系。最后,将HEBM与最新技术进行了比较,并通过在各种交通模式和系统参数下进行的大量模拟,证明了HEBM的优越性。HEBM由并发调度算法和功率控制算法两部分组成。在第一种算法中,并发调度集由所构造的冲突图的最大独立集和传输流的已定义优先级决定。在第二种算法中,计算每个流的传输功率。第三,推导并验证了HEBM关键阈值与传输功率之间的关系。最后,将HEBM与最新技术进行了比较,并通过在各种交通模式和系统参数下进行的大量模拟,证明了HEBM的优越性。HEBM由并发调度算法和功率控制算法两部分组成。在第一种算法中,并发调度集由所构造的冲突图的最大独立集和传输流的已定义优先级决定。在第二种算法中,计算每个流的传输功率。第三,推导并验证了HEBM关键阈值与传输功率之间的关系。最后,将HEBM与最新技术进行了比较,并通过在各种交通模式和系统参数下进行的大量模拟,证明了HEBM的优越性。并发调度集由构造的冲突图的最大独立集和传输流的定义优先级决定。在第二种算法中,计算每个流的传输功率。第三,推导并验证了HEBM关键阈值与传输功率之间的关系。最后,将HEBM与最新技术进行了比较,并通过在各种交通模式和系统参数下进行的大量模拟,证明了HEBM的优越性。并发调度集由构造的冲突图的最大独立集和传输流的定义优先级决定。在第二种算法中,计算每个流的传输功率。第三,推导并验证了HEBM关键阈值与传输功率之间的关系。最后,将HEBM与最新技术进行了比较,并通过在各种交通模式和系统参数下进行的大量模拟,证明了HEBM的优越性。

更新日期:2020-11-21
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