Load Balance Algorithm Based on POMDP Load-aware in Heterogeneous Dense Cellular Networks

TANG Lun; LIANG Rong; ZHANG Ya; CHEN Qianbin

doi:10.11999/JEIT161347

Volume 39 Issue 9

Sep. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(9): 2134-2140

TANG Lun, LIANG Rong, ZHANG Ya, CHEN Qianbin. Load Balance Algorithm Based on POMDP Load-aware in Heterogeneous Dense Cellular Networks[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2134-2140. doi: 10.11999/JEIT161347

Citation:

TANG Lun, LIANG Rong, ZHANG Ya, CHEN Qianbin. Load Balance Algorithm Based on POMDP Load-aware in Heterogeneous Dense Cellular Networks[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2134-2140. doi: 10.11999/JEIT161347

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Load Balance Algorithm Based on POMDP Load-aware in Heterogeneous Dense Cellular Networks

doi: 10.11999/JEIT161347

Funds:

The National 863 Program of China (2014AA　01A701), The National Natural Science Foundation of China (61571073)

Received Date: 2016-12-08
Rev Recd Date: 2017-03-24
Publish Date: 2017-09-19

Abstract

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.
- Heterogeneous dense network,
- Load balance,
- Cell range expansion,
- Partially observable Markov decision process

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References(12)

References

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