Hybrid user association for maximising energy efficiency in heterogeneous networks with human-to-human/machine-to-machine coexistence

Hybrid user association for maximising energy efficiency in heterogeneous networks with human-to-human/machine-to-machine coexistence
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混合用户关联,可在人与人/机器与机器共存的异构网络中最大限度地提高能源效率

DOI:
10.1049/iet-com.2015.0866
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发表时间:
2016
期刊:
影响因子:
1.6
通讯作者:
Xu Youyun
Xu Youyun
中科院分区:
计算机科学4区
文献类型:
--
作者:
Tian Hui;Xie Wei;Gan Xiaoying;Xu Youyun

文献摘要

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在这项研究中,提出了一种在人与人和机器对机器通信共存的无线上行链路异构网络中最大化能源效率的混合用户关联方案。与传统的用户关联算法不同,作者在用户关联阶段根据人型通信(HTC)用户设备(UE)和机器型通信(MTC)UE的特点,考虑了其接入控制协议,即针对HTC UE的无竞争接入机制和针对MTC UE的基于接入类别禁止机制的随机接入。他们将用户关联问题表述为整体 UE 能源效率的最大化,同时考虑到 HTC 和 MTC UE 的服务质量 (QoS) 保证以及基站之间的负载平衡。为了解决这个问题,他们提出了一种同时采用匹配理论和对偶分解理论的分布式迭代算法,并证明了其收敛性。最后,仿真结果表明,他们提出的用户关联方案不仅在负载平衡和整体能源效率方面优于现有方案,而且在UE数量较少的情况下达到与穷举搜索相同的性能,同时满足HTC和MTC UE的QoS要求。
In this study, a hybrid user association scheme for maximising energy efficiency is proposed in a wireless uplink heterogeneous network with human-to-human and machine-to-machine communications coexistence. Different from conventional user association algorithms, the authors consider access control protocol for both the human-type-communications (HTCs) users equipments’ (UEs) and machine-type-communications (MTCs) UEs according to their characteristics during user association phase, i.e. a contention-free access mechanism for HTC UEs and a random access based on access class barring mechanism for MTC UEs. They formulate the user association problem as a maximisation of the overall UEs’ energy efficiency in consideration of both the HTC and MTC UEs’ quality of service (QoS) guarantees and load balance among base stations simultaneously. To solve the problem, they propose a distributed iterative algorithm which adopts both the matching theory and the dual decomposition theory, and prove its convergence. Finally, simulation results show that their proposed user association scheme not only outperforms existing schemes in terms of the load balance and the overall energy efficiency but also achieves the same performance as exhaustive search in the case of less number of UEs, while satisfying both the HTC and MTC UEs’ QoS requirements.