Service Characteristics-Oriented Joint ACB, Cell Selection, and Resource Allocation Scheme for Heterogeneous M2M Communication Networks
Service Characteristics-Oriented Joint ACB, Cell Selection, and Resource Allocation Scheme for Heterogeneous M2M Communication Networks
复制标题
面向服务特征的异构M2M通信网络联合ACB、小区选择和资源分配方案
DOI：
10.1109/jsyst.2019.2911094
复制
发表时间：
2019-09
影响因子：
4.4
通讯作者：
Chen Qianbin
中科院分区：
文献类型：
--
作者：
Chai Rong;Ma Zhangfeng;Liu Changzhu;Chen Qianbin
异构机器对机器通信网络（HMCN）被期望为机器类型通信设备（MTCD）提供无处不在的连接性，同时减少人为干预。虽然MTCD将支持各种类型的服务，但是不同的服务质量要求和网络特性对HMCN的资源分配、小区选择和随机接入方案提出了挑战和困难。在本文中，我们提出了一个联合接入类限制（ACB），小区选择，和资源分配算法的HMCNs。为了实现异构小区中资源块（RB）的有效利用，我们首先提出了一种基于虚拟分簇的联合ACB和RB分配子算法。通过将MTCD划分为虚拟簇，将虚拟簇的ACB和RB联合分配问题转化为RB利用率最大化问题。通过求解优化问题，得到了最优的ACB因子和RB分配策略。在给定最优策略的情况下，将MTCD的联合小区选择和功率分配问题转化为效用函数最大化问题。由于该问题是一个混合非线性优化问题，求解起来比较困难，因此采用松弛法对该问题进行了转化，并利用迭代算法和拉格朗日对偶法进行求解。仿真结果验证了该算法的有效性。
Heterogeneous machine-to-machine communication networks (HMCNs) are expected to provide ubiquitous connectivity for machine type communication devices (MTCDs) with reduced human intervention. Although various types of services will be supported for MTCDs, diverse quality of service requirements and network characteristics pose challenges and difficulties to the resource allocation, cell selection, and random access schemes of the HMCNs. In this paper, we propose a joint access class barring (ACB), cell selection, and resource allocation algorithm for HMCNs. To achieve efficient utilization of the resource blocks (RBs) in heterogeneous cells, we first propose a virtual clustering-based joint ACB and RB allocation sub-algorithm. Partitioning the MTCDs into virtual clusters, we formulate the joint ACB and RB allocation problem of the virtual clusters as RB utilization maximization problem. Through solving the optimization problem, we obtain the optimal ACB factor and RB allocation strategy. Given the optimal strategy, we then formulate the joint cell selection and power allocation problem of the MTCDs as a utility function maximization problem. As the formulated problem is a mixed nonlinear optimization problem, which cannot be solved conveniently, we transform the problem using relaxation method and solve it through applying an iterative algorithm and the Lagrange dual method. Simulation results demonstrate the effectiveness of the proposed algorithm.
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影响因子：
1.6
作者：
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影响因子：
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DOI：
10.3390/s17061407
发表时间：
2017-06-15
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Li N;Cao C;Wang C
通讯作者：
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影响因子：
4.4
作者：
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通讯作者：
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影响因子：
10.4
作者：
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