Parallel Optimization Framework for Cloud-Based Small Cell Networks

被引:6
作者
Hardjawana, Wibowo [1 ]
Apandi, Nur Ilyana Anwar [1 ]
Vucetic, Branka [1 ]
机构
[1] Univ Sydney, Sydney, NSW 2006, Australia
基金
澳大利亚研究理事会;
关键词
Power control; small cell networks; belief-propagation; parallel processing; inter-cell interference mitigation; cloud; DISTRIBUTED RESOURCE-ALLOCATION; BELIEF PROPAGATION; POWER-CONTROL; DOWNLINK; MAXIMIZATION; ASSOCIATION; ALGORITHM; GAME;
D O I
10.1109/TWC.2016.2600302
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cloud-based small cell networks (C-SCNs) have recently been proposed as new wireless cellular architecture. In cloud-based networks, optimization of radio resources at the base station (BS) is moved to a cloud data center for centralized optimization. In the center, multiple processors referred to as the cloud computational unit (CCU) are used for the optimization. As the cell size and networks become, respectively, smaller and denser, the number of BSs to be optimized grows exponentially, resulting in high computational complexity and latency at CCUs. In this paper, we propose belief propagation-based power allocation schemes for C-SCNs that can be used for any network optimization objectives, such as energy consumption minimization at the data center and BSs, and spectral efficiency. The computation for the schemes is distributed across multiple processors and done in parallel, leading to very low latency and computational complexity with increasing number of BSs. We prove mathematically that the messages of the proposed algorithms converge to a fixed point and show via simulation that their performances in terms of spectral and energy efficiencies are close to an exhaustive search solution in finding the best configuration.
引用
收藏
页码:7286 / 7298
页数:13
相关论文
共 50 条
  • [21] Cloud-based Handoff as a Service for Heterogeneous Vehicular Networks with OpenFlow
    Xu, Ke
    Izard, Ryan
    Yang, Fan
    Wang, Kuang-Ching
    Martin, Jim
    2013 SECOND GENI RESEARCH AND EDUCATIONAL EXPERIMENT WORKSHOP (GREE), 2013, : 45 - 49
  • [22] A Soft-Input/Soft-Output Dequantizer for Cloud-Based Mobile Networks
    Bartelt, Jens
    Fettweis, Gerhard
    2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014, : 404 - 408
  • [23] Advanced framework for highly secure and cloud-based storage of colour images
    Chidambaram, Nithya
    Raj, Pethuru
    Thenmozhi, Karruppuswamy
    Amirtharajan, Rengarajan
    IET IMAGE PROCESSING, 2020, 14 (13) : 3143 - 3153
  • [24] A green scheduling algorithm for cloud-based honeynets
    Pittman, Jason M.
    Alaee, Shaho
    FRONTIERS IN SUSTAINABILITY, 2023, 3
  • [25] Stackelberg Game for Bandwidth Allocation in Cloud-based Wireless Live-streaming Social Networks
    Nan, Guofang
    Mao, Zhifei
    Yu, Mei
    Li, Minqiang
    Wang, Honggang
    Zhang, Yan
    IEEE SYSTEMS JOURNAL, 2014, 8 (01): : 256 - 267
  • [26] Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks
    Chen, Beiran
    Zhang, Yi
    Iosifidis, George
    Liu, Mingming
    2020 IEEE 6TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2020,
  • [27] Cloud-based Resource Allocation and Cooperative Transmission in Large Cellular Networks
    Li, Jing
    Guo, Dongning
    2017 55TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2017, : 455 - 462
  • [28] Speed based optimal power control in small cell networks
    Kavitha, Veeraruna
    Gupta, Manu K.
    Capdevielle, Veronique
    Kishor, Rahul M.
    Haddad, Majed
    COMPUTER COMMUNICATIONS, 2019, 142 : 48 - 61
  • [29] Future 5G Mobile Broadband Networks Using Cloud-based Services with Advanced Security and QoS Framework
    Bogdanoski, Mitko
    Shuminoski, Tomislav
    Hadji-Janev, Metodi
    Risteski, Aleksandar
    Janevski, Toni
    ACTA POLYTECHNICA HUNGARICA, 2020, 17 (10) : 27 - 46
  • [30] Towards efficiently migrating virtual networks in cloud-based data centers
    Zhang, San-mei
    Sun, Gang
    Chang, Victor
    PHOTONIC NETWORK COMMUNICATIONS, 2018, 35 (02) : 151 - 164