Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-Antenna Dense Small Cell Networks

Journal article


Zhu, Y., Zheng, G., Wang, L., Wong, K-K. and Zhao, L. (2018). Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-Antenna Dense Small Cell Networks. IEEE Transactions on Wireless Communications. 17 (5), pp. 2843-2856. https://doi.org/10.1109/twc.2018.2794368
AuthorsZhu, Y., Zheng, G., Wang, L., Wong, K-K. and Zhao, L.
Abstract

This paper studies the performance of cacheenabled dense small cell networks consisting of multi-antenna
sub-6 GHz and millimeter-wave (mm-wave) base stations. Different from the existing works which only consider a single antenna at each base station, the optimal content placement is unknown when the base stations have multiple antennas. We first derive the successful content delivery probability by accounting for the key channel features at sub-6 GHz and mm-wave frequencies. The maximization of the successful content delivery probability is a challenging problem. To tackle it, we first propose a constrained
cross-entropy algorithm which achieves the near-optimal solution with moderate complexity. We then develop another simple yet effective heuristic probabilistic content placement scheme, termed two-stair algorithm, which strikes a balance between caching the most popular contents and achieving content diversity. Numerical results demonstrate the superior performance of the constrained cross-entropy method and that the two-stair algorithm yields significantly better performance than only caching the most popular contents. The comparisons between the sub-6 GHz and
mm-wave systems reveal an interesting tradeoff between caching capacity and density for the mm-wave system to achieve similar performance as the sub-6 GHz system.

Year2018
JournalIEEE Transactions on Wireless Communications
Journal citation17 (5), pp. 2843-2856
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN1536-1276
Digital Object Identifier (DOI)https://doi.org/10.1109/twc.2018.2794368
Publication dates
PrintMay 2018
Publication process dates
Accepted09 Jan 2018
Deposited14 May 2020
File
License
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/89587

  • 2
    total views
  • 6
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Performance Analysis of Hybrid UAV Networks for Probabilistic Content Caching
Zhu, Y. (2020). Performance Analysis of Hybrid UAV Networks for Probabilistic Content Caching. IEEE Systems Journal. https://doi.org/10.1109/JSYST.2020.3013786
Large System Analysis of Downlink MISO-NOMA System via Regularized Zero-Forcing Precoding with Imperfect CSIT
Zhang, J., Zhu, Y., Ma, S., Li, X. and Wong, K.K. (2020). Large System Analysis of Downlink MISO-NOMA System via Regularized Zero-Forcing Precoding with Imperfect CSIT. IEEE Communications Letters. https://doi.org/10.1109/lcomm.2020.3010422
Programmable Metasurface Based Multicast Systems: Design and Analysis
Zhu, Y (2020). Programmable Metasurface Based Multicast Systems: Design and Analysis. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/JSAC.2020.3000809
Stochastic Geometry Analysis of Large Intelligent Surface-Assisted Millimeter Wave Networks
Zhu, Y (2020). Stochastic Geometry Analysis of Large Intelligent Surface-Assisted Millimeter Wave Networks. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/JSAC.2020.3000806
Spectrum and Energy Efficiency in Dynamic UAV-Powered Millimeter Wave Networks
Zhu, Y and Tasos, D (2020). Spectrum and Energy Efficiency in Dynamic UAV-Powered Millimeter Wave Networks. IEEE Communications Letters. https://doi.org/10.1109/LCOMM.2020.3001357
Incomplete Information based Collaborative Computing in Emergency Communication Networks
Wang, Q, Zhu, Y and Wang, X (2020). Incomplete Information based Collaborative Computing in Emergency Communication Networks. IEEE Communications Letters. https://doi.org/10.1109/LCOMM.2020.2995501
Achievable Rate and Capacity Analysis for Ambient Backscatter Communications
Qian, J, Zhu, Y, He, C, Gao, F and Jin, S (2019). Achievable Rate and Capacity Analysis for Ambient Backscatter Communications. IEEE Transactions on Communications. 67 (9), pp. 6299-6310. https://doi.org/10.1109/tcomm.2019.2918525
On the Uplink Achievable Rate of Massive MIMO System with Low-Resolution ADC and RF Impairments
Xu, L, Lu, X, Jin, S, Gao, F and Zhu, Y (2019). On the Uplink Achievable Rate of Massive MIMO System with Low-Resolution ADC and RF Impairments. IEEE Communications Letters. 23 (3), pp. 502-505. https://doi.org/10.1109/lcomm.2019.2895823
Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics
Zhang, K, Zhu, Y, Leng, S, He, Y, Maharjan, S and Zhang, Y (2019). Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics. IEEE Internet of Things Journal. 6 (5), pp. 7635-7647. https://doi.org/10.1109/jiot.2019.2903191
A Deep Learning Framework for Optimization of MISO Downlink Beamforming
Xia, W, Zheng, G, Zhu, Y, Zhang, J, Wang, J and Petropulu, AP (2019). A Deep Learning Framework for Optimization of MISO Downlink Beamforming. IEEE Transactions on Communications. 68 (3), pp. 1866 - 1880. https://doi.org/10.1109/TCOMM.2019.2960361
Secrecy Rate Analysis of UAV-Enabled mmWave Networks Using Matérn Hardcore Point Processes
Zhu, Y, Zheng, G and Fitch, M (2018). Secrecy Rate Analysis of UAV-Enabled mmWave Networks Using Matérn Hardcore Point Processes. IEEE Journal on Selected Areas in Communications. 36 (7), pp. 1397-1409. https://doi.org/10.1109/jsac.2018.2825158
A Novel Optimal Mapping Algorithm With Less Computational Complexity for Virtual Network Embedding
Cao, H, Zhu, Y, Zheng, G and Yang, L (2018). A Novel Optimal Mapping Algorithm With Less Computational Complexity for Virtual Network Embedding. IEEE Transactions on Network and Service Management. 15 (1), pp. 356-371. https://doi.org/10.1109/tnsm.2017.2778106
Performance Analysis of Cache-Enabled Millimeter Wave Small Cell Networks
Zhu, Y., Zheng, G., Wong, K-K., Jin, S. and Lambotharan, S. (2018). Performance Analysis of Cache-Enabled Millimeter Wave Small Cell Networks. IEEE Transactions on Vehicular Technology. 67 (7), pp. 6695-6699. https://doi.org/10.1109/tvt.2018.2797047
A Efficient Mapping Algorithm With Novel Node-Ranking Approach for Embedding Virtual Networks
Cao, H, Zhu, Y, Yang, L and Zheng, G (2017). A Efficient Mapping Algorithm With Novel Node-Ranking Approach for Embedding Virtual Networks. IEEE Access. 5, pp. 22054-22066. https://doi.org/10.1109/access.2017.2761840
Secure Communications in Millimeter Wave Ad Hoc Networks
Zhu, Yongxu, Wang, Lifeng, Wong, Kai-Kit and Heath, Robert W (2017). Secure Communications in Millimeter Wave Ad Hoc Networks. IEEE Transactions on Wireless Communications. 16 (5), pp. 3205-3217. https://doi.org/10.1109/twc.2017.2676087
Wireless Power Transfer in Massive MIMO-Aided HetNets With User Association
Zhu, Y., Wang, L., Wong, K-K., Jin, S. and Zheng, Z. (2016). Wireless Power Transfer in Massive MIMO-Aided HetNets With User Association. IEEE Transactions on Communications. 64 (10), pp. 4181-4195. https://doi.org/10.1109/tcomm.2016.2594794
Geometric Power Control for Time-Switching Energy-Harvesting Two-User Interference Channel
Zhu, Yongxu, Wong, Kai-Kit, Zhang, Yangyang and Masouros, Christos (2016). Geometric Power Control for Time-Switching Energy-Harvesting Two-User Interference Channel. IEEE Transactions on Vehicular Technology. 65 (12), pp. 9759-9772. https://doi.org/10.1109/tvt.2016.2520565