Citation: | Hong ZHANG, Xiao HAN, Ruyan WANG, Zhidu LI, Min ZHOU. Load Balancing User Association and Resource Allocation Strategy in Time and Wavelength Division Multiplexed Passive Optical Network and Cloud Radio Access Network Joint Architecture[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2672-2679. doi: 10.11999/JEIT200849 |
[1] |
REN Hong, LIU Nan, PAN Cunhua, et al. Low-latency C-RAN: An next-generation wireless approach[J]. IEEE Vehicular Technology Magazine, 2018, 13(2): 48–56. doi: 10.1109/MVT.2018.2811244
|
[2] |
ZHAO Wentao and WANG Shaowei. Traffic density-based RRH selection for power saving in C-RAN[J]. IEEE Journal on Selected Areas in Communications, 2016, 34(12): 3157–3167. doi: 10.1109/JSAC.2016.2600414
|
[3] |
KALIL M, Al-DWEIK A, SHARKH M A, et al. A framework for joint wireless network virtualization and cloud radio access networks for next generation wireless networks[J]. IEEE Access, 2017, 5: 20814–20827. doi: 10.1109/ACCESS.2017.2746666
|
[4] |
SIMEONE O, MAEDER A, PENG Mugen, et al. Cloud radio access network: Virtualizing wireless access for dense heterogeneous systems[J]. Journal of Communications and Networks, 2016, 18(2): 135–149. doi: 10.1109/JCN.2016.000023
|
[5] |
ZHANG Zhiguo, CHEN Yanxu, CAI Shanyong, et al. Colorless-light and tunable-light-source schemes for TWDM and WDM PONs[J]. IEEE Communications Magazine, 2018, 56(8): 120–128. doi: 10.1109/MCOM.2018.1700751
|
[6] |
WANG Xinbo, CAVDAR C, WANG Lin, et al. Virtualized cloud radio access network for 5G transport[J]. IEEE Communications Magazine, 2017, 55(9): 202–209. doi: 10.1109/MCOM.2017.1600866
|
[7] |
王汝言, 徐宁宁, 吴大鹏. 能耗和时延感知的虚拟化云无线接入网络资源分配机制[J]. 电子与信息学报, 2019, 41(1): 83–90. doi: 10.11999/JEIT180063
WANG Ruyan, XU Ningning, and WU Dapeng. Energy consumption and delay-aware resource allocation mechanism for virtualization cloud radio access network[J]. Journal of Electronics &Information Technology, 2019, 41(1): 83–90. doi: 10.11999/JEIT180063
|
[8] |
ALNOMAN A, CARVALHO G H S, ANPALAGAN A, et al. Energy efficiency on fully cloudified mobile networks: Survey, challenges, and open issues[J]. IEEE Communications Surveys & Tutorials, 2018, 20(2): 1271–1291. doi: 10.1109/COMST.2017.2780238
|
[9] |
WU Dapeng, ZHANG Zhihao, WU Shaoen, et al. Biologically inspired resource allocation for network slices in 5G-enabled internet of things[J]. IEEE Internet of Things Journal, 2019, 6(6): 9266–9279. doi: 10.1109/JIOT.2018.2888543
|
[10] |
ALI M, RABBANI Q, NAEEM M, et al. Joint user association, power allocation, and throughput maximization in 5G H-CRAN networks[J]. IEEE Transactions on Vehicular Technology, 2017, 66(10): 9254–9262. doi: 10.1109/TVT.2017.2715229
|
[11] |
王汝言, 李宏娟, 吴大鹏. 基于Stackelberg博弈的虚拟化无线传感网络资源分配策略[J]. 电子与信息学报, 2019, 41(2): 377–384. doi: 10.11999/JEIT180277
WANG Ruyan, LI Hongjuan, and WU Dapeng. Stackelberg game-based resource allocation strategy in virtualized wireless sensor network[J]. Journal of Electronics &Information Technology, 2019, 41(2): 377–384. doi: 10.11999/JEIT180277
|
[12] |
ELHATTAB M K, ELMESALAWY M M, and ISMAIL T. Fronthaul-aware user association in 5G heterogeneous cloud radio access networks: A matching game perspective[C]. 2018 International Symposium on Networks, Computers and Communications (ISNCC), Rome, Italy, 2018. doi: 10.1109/ISNCC.2018.8531056.
|
[13] |
WU Dapeng, LIU Jia, and YANG Zhigang. Bilateral satisfaction aware participant selection with MEC for mobile crowd sensing[J]. IEEE Access, 2020, 8: 48110–48122. doi: 10.1109/ACCESS.2020.2978774
|
[14] |
SU Gongchao, CHEN Bin, LIN Xiaohui, et al. A sequential auction game for QoS-aware user association in heterogeneous cellular networks[C]. Proceedings of 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN), Prague, Czech Republic, 2018: 464–468. doi: 10.1109/ICUFN.2018.8436793.
|
[15] |
GE Xin, LI Xiuhua, JIN Hu, et al. Joint user association and user scheduling for load balancing in heterogeneous networks[J]. IEEE Transactions on Wireless Communications, 2018, 17(5): 3211–3225. doi: 10.1109/TWC.2018.2808488
|
[16] |
PROSKOCHYLO A, ZRIAKHOV M, and AKULYNICHEV A. The effects of queueing algorithms on QoS for real-time traffic in process of load balancing[C]. 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), Kharkiv, Ukraine, 2018: 575–580. doi: 10.1109/INFOCOMMST.2018.8632161.
|
[17] |
WANG Feng, CHEN Wen, TANG Hongying, et al. Joint optimization of user association, subchannel allocation, and power allocation in multi-cell multi-association OFDMA heterogeneous networks[J]. IEEE Transactions on Communications, 2017, 65(6): 2672–2684. doi: 10.1109/TCOMM.2017.2678986
|
[18] |
AWAIS M, AHMED A, NAEEM M, et al. Efficient joint user association and resource allocation for cloud radio access networks[J]. IEEE Access, 2017, 5: 1439–1448. doi: 10.1109/ACCESS.2017.2663758
|
[19] |
王汝言, 池文祥, 张鸿. WOBAN中基于令牌桶算法的自适应流量整形策略[J]. 电子与信息学报, 2017, 39(6): 1401–1408. doi: 10.11999/JEIT160974
WANG Ruyan, CHI Wenxiang, and ZHANG Hong. Adaptive traffic shaping policy based on token bucket algorithm of wireless-optical broadband access network[J]. Journal of Electronics &Information Technology, 2017, 39(6): 1401–1408. doi: 10.11999/JEIT160974
|
[20] |
WANG Kaidi, LIU Yuanwei, DING Zhiguo, et al. User association and power allocation for multi-cell non-orthogonal multiple access networks[J]. IEEE Transactions on Wireless Communications, 2019, 18(11): 5284–5298. doi: 10.1109/TWC.2019.2935433
|
[21] |
SCHERER W T, ADAMS S, and BELING P A. On the practical art of state definitions for Markov decision process construction[J]. IEEE Access, 2018, 6: 21115–21128. doi: 10.1109/ACCESS.2018.2819940
|
[22] |
JANG B, KIM M, HARERIMANA G, et al. Q-learning algorithms: A comprehensive classification and applications[J]. IEEE Access, 2019, 7: 133653–133667. doi: 10.1109/ACCESS.2019.2941229
|
[23] |
LI Dong, ZHANG Haijun, LONG Keping, et al. User association and power allocation based on q-learning in ultra dense heterogeneous networks[C]. 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, USA, 2019: 1–5. doi: 10.1109/GLOBECOM38437.2019.9013455.
|
[24] |
ZHAO Nan, LIANG Yingchang, NIYATO D, et al. Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks[J]. IEEE Transactions on Wireless Communications, 2019, 18(11): 5141–5152. doi: 10.1109/TWC.2019.2933417
|
[25] |
CHEN Xianfu, ZHAO Zhifeng, and ZHANG Honggang. Stochastic power adaptation with multiagent reinforcement learning for cognitive wireless mesh networks[J]. IEEE Transactions on Mobile Computing, 2013, 12(11): 2155–2166. doi: 10.1109/TMC.2012.178
|
[26] |
SEDIQ A B, GOHARY R H, SCHOENEN R, et al. Optimal tradeoff between sum-rate efficiency and Jain’s fairness index in resource allocation[J]. IEEE Transactions on Wireless Communications, 2013, 12(7): 3496–3509. doi: 10.1109/TWC.2013.061413.121703
|