A User Satisfaction Maximization Algorithm Based on Access and Backhaul Integrated Small Base Station

Lun TANG; Yunlong LIU; Xu ZHAO; Runlin MA; Qianbin CHEN

doi:10.11999/JEIT171169

Volume 40 Issue 9

Aug. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(9): 2088-2095

Lun TANG, Yunlong LIU, Xu ZHAO, Runlin MA, Qianbin CHEN. A User Satisfaction Maximization Algorithm Based on Access and Backhaul Integrated Small Base Station[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2088-2095. doi: 10.11999/JEIT171169

Citation:

Lun TANG, Yunlong LIU, Xu ZHAO, Runlin MA, Qianbin CHEN. A User Satisfaction Maximization Algorithm Based on Access and Backhaul Integrated Small Base Station[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2088-2095. doi: 10.11999/JEIT171169

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A User Satisfaction Maximization Algorithm Based on Access and Backhaul Integrated Small Base Station

doi: 10.11999/JEIT171169

Key Laboratory of Mobile Communication Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61571073)

Received Date: 2017-12-12
Rev Recd Date: 2018-05-07

Available Online: 2018-07-12

Publish Date: 2018-09-01

Abstract

Abstract

To meet the personal quality requirement of video streaming service under the access and backhaul integrated small base station scene, a user satisfaction maximization algorithm is proposed. The algorithm adjusts dynamically the spectrum resources used for next-cycle queue transmission by analysis the mismatch degree between the actual system reachable rate and user satisfaction demand rate. The corresponding optimization model of the quality satisfaction of all users is established. Then, the Lyapunov stochastic optimization method is used to transform the initial problem into drift plus penalty, the overflow probability constraint is transformed into inequality of variables. Finally, using the proposed user access bandwidth allocation algorithm based on Lagrange dual decomposition and the backhaul and access bandwidth allocation algorithm based on interior point method. The simulation results show that the algorithm can improve the quality satisfaction of all users and ensure the system stability.
- Access and backhaul integrated small base station,
- Video streaming,
- Quality satisfaction of all users,
- Lyapunov-based optimization

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References(13)

References

JABER M, IMRAN M A, TAFAZOLLI R, et al. 5G backhaul challenges and emerging research directions: A survey[J]. IEEE Access, 2017, 4: 1743–1766 doi: 10.1109/ACCESS.2016.2556011

GE Xiaohu, TU Song, MAO Guoqiang, et al. 5G ultra-dense cellular networks[J]. IEEE Wireless Communications, 2016, 23(1): 72–79 doi: 10.1109/MWC.2016.7422408

ROBSON J. Small cell backhaul requirements[R]. A White Paper by the NGMN Alliance, Cambridge: NGMN, 2012.

SIDDIQUE U, TABASSUM H, and HOSSAIN E. Adaptive in-band self-backhauling for full-duplex small cells[C]. IEEE International Conference on Communication Workshop, London, UK, 2015: 44–49.

TAORI R, and SRIDHARAN A. Point-to-multipoint in-band mmwave backhaul for 5G networks[J]. IEEE Communications Magazine, 2015, 53(1): 195–201 doi: 10.1109/MCOM.2015.7010534

WANG Ning, HOSSAIN E, BHARGAVA V K. Joint downlink cell association and bandwidth allocation for wireless backhauling in two-tier hetNets with large-scale antenna arrays[J]. IEEE Transactions on Wireless Communications, 2016, 15(5): 3251–3268 doi: 10.1109/TWC.2016.2519401

NEELY Michael. Stochastic Network Optimization with Application to Communication and Queueing Systems[M]. San Rafael, USA: Morgan & Claypool, 2010: 149–152.

CHEN Lei, YU F. Green full-duplex self-backhaul and energy harvesting small cell networks with massive MIMO[J]. IEEE Journal on Selected Areas in Communications, 2016, 34(12): 3709–3724 doi: 10.1109/JSAC.2016.2611846

XU Yiran, Hu Rose Qiyang, QIAN Yi, et al. Video quality-based spectral and energy efficient mobile association in heterogeneous wireless networks[J]. IEEE Transactions on Communications, 2016, 64(2): 805–817 doi: 10.1109/TCOMM.2015.2503760

LAKSHMINARAYANA S, ASSAAD M, and DEBBAH M. Transmit power minimization in small cell networks under time average QoS constraints[J]. IEEE Journal on Selected Areas in Communications, 2015, 33(10): 2087–2103 doi: 10.1109/JSAC.2015.2435312

LIU Yinjun, LU Lu, LI Geoffrey Ye, et al. Joint user association and spectrum allocation for small cell networks with wireless backhauls[J]. IEEE Wireless Communications Letters, 2017, 5(5): 496–499 doi: 10.1109/LWC.2016.2593465

HUANG Jianwei, SUBRAMANIAN V, AGRAWAL R, et al. Downlink scheduling and resource allocation for OFDM systems[C]. 2006, IEEE International Conference on Information Sciences and Systems, Princeton, USA, 2007: 288–296.

YUN H C, KIM H, LEE S H, et al. A QoE-aware proportional fair resource allocation for multi-cell OFDMA networks[J]. IEEE Communications Letters, 2015, 19(1): 82–85 doi: 10.1109/LCOMM.2014.2367115

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