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Load Balance Algorithm Based on POMDP Load-aware in Heterogeneous Dense Cellular Networks |
TANG Lun LIANG Rong ZHANG Ya CHEN Qianbin |
(Key Laboratory of Mobile Communication Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China) |
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Abstract In order to solve the load imbalance problem caused by uncertainty of traffic in heterogeneous dense cellular networks, this paper proposes a load balance algorithm through small cell range expansion. The proposed algorithm is based on Partially Observable Markov Decision Process (POMDP). By observing the packets of system user during the perceptual cycle, the next cycle system possible load state can be dopted. Then, the Dynamic Cell Range Expansion (DCRE) offset value is dynamically adjusted to take action in advance, reaching the purpose of optimizing the system load balance. To solve the problem efficiently, a heuristic algorithm is used to approximate and quickly get the suboptimal solution. Simulation results show that the proposed method can achieve load balance optimization in dense hetrogeneous network, and improve the system user throughput and resource utilization rate.
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Received: 08 December 2016
Published: 21 July 2017
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Fund:The National 863 Program of China (2014AA 01A701), The National Natural Science Foundation of China (61571073) |
Corresponding Authors:
LIANG Rong
E-mail: 524654213@qq.com
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[1] |
HAO Peng, YAN Xiao, Y N Ruyue, et al. Ultra dense network: Challenges, enabling technologies and new trends[J]. China Communications, 2016, 13(2): 30-40.
|
[2] |
YUNAS S F, VALKAMA M, and NIEMELA M. Spectral and energy efficiency of ultra-dense networks under different deployment strategies[J]. IEEE Communications Magazine, 2015, 53(1): 90-100. doi: 10.1109/MCOM.2015.7010521
|
[3] |
JIANG H L, TONG E, LI Zhihang, et al. A power adjustment based eICIC algorithm for hyper-dense HetNets considering the alteration of user association[J]. Science China Information Sciences, 2015, 58(8): 1-15.
|
[4] |
CHEN S, XING C, and FEI Z. Distributed resource allocation in ultra-dense networks via belief propagation[J]. China Communications, 2015, 12(11): 79-91. doi: 10.1109/ CC.2015.7365891.
|
[5] |
QIU J, WU Q, XU Y, et al. Demand-aware resource allocation for ultra-dense small cell networks: An interference-separation clustering-based solution[J]. Transactions on Emerging Telecommunications Technologies, 2016, 27(8): 1071-1086.
|
[6] |
JIN Y, QIU L, and LIANG X. Small cells on/off control and load balancing for green dense heterogeneous networks[C]. IEEE Wireless Communications and Networking Conference (WCNC), New Orleans, LA, USA, 2015 IEEE. 2015: 1530-1535. doi: 10.1109/WCNC.2015.7127695.
|
[7] |
YASIR B A, SU G, and BACHACHE N. Range expansion for pico cell in heterogeneous LTE-A cellular networks[C]. International Conference on Computer Science and Network Technology, Changchun, China, 2012: 1235-1240. doi: 10. 1109/ICCSNT.2012.6526147
|
[8] |
SASIKUMAR R, ANANTHANARAYANAN V, and RAJESWARI A. An intelligent pico cell range expansion technique for heterogeneous wireless networks[J]. Indian Journal of Science and Technology, 2016, 9(9).
|
[9] |
MOON S, KIM B, MALIK S, et al. Interference management with cell selection using cell range expansion and ABS in the heterogeneous network based on LTE-advanced[J]. Wireless Personal Communications, 2015, 81(1): 151-160.
|
[10] |
JIANG Haiqi. System utility optimization of cell range expansion in heterogeneous cellular networks[C]. 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN), Beijing, China, 2016: 412-417. doi: 10.1109/ICCSN.2016.7586694.
|
[11] |
NAKAZAWA S, MATSUOKA S, and OTSUKA H. Adaptive control CRE and its throughput performance in HetNet[J]. IEICE Communications Express, 2015, 4(4): 117-122.
|
[12] |
YU T C and SILVESTER J A. A four-state DMMPP for characterizing multimedia traffic with short-term and long-term correlations[C]. IEEE International Conference on Communications, IEEE, Ottawa, Canada, 1999: 880-885 vol.2. doi: 10.1109/ICC.1999.765400.
|
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