Optimization of Coverage in 5G Self-Organizing Small Cell Networks

Heterogeneous two-tier network with hybrid deployed small cells and macrocells is a promising solution for fifth generation (5G) wireless networks. However, with the higher and higher spectrum band used in 5G, the coverage and capacity of indoor environment is not good enough for the users’ increasing demand. In this paper, we proposed a self-organizing capacity and coverage optimization scheme using power adaptation to enhance the capacity and improve the coverage. Simulation results show that the proposed self-organizing scheme can effectively improve the capacity and coverage.

[1]  Ingrid Moerman,et al.  Self-Organized Energy-Efficient Cross-Layer Optimization for Device to Device Communication in Heterogeneous Cellular Networks , 2017, IEEE Access.

[2]  Cheng-Xiang Wang,et al.  5G Ultra-Dense Cellular Networks , 2015, IEEE Wireless Communications.

[3]  Xiaojiang Du,et al.  Cognitive femtocell networks: an opportunistic spectrum access for future indoor wireless coverage , 2013, IEEE Wireless Communications.

[4]  Hong Ji,et al.  Resource Optimization-Based Interference Management for Hybrid Self-Organized Small-Cell Network , 2016, IEEE Transactions on Vehicular Technology.

[5]  David López-Pérez,et al.  Inter-Cell Interference Coordination for Control Channels in LTE Heterogeneous Networks , 2016, IEEE/ACM Transactions on Networking.

[6]  Suzan Bayhan,et al.  Cognitive femtocell networks: an overlay architecture for localized dynamic spectrum access [Dynamic Spectrum Management] , 2010, IEEE Wireless Communications.

[7]  Pantelis-Daniel M. Arapoglou,et al.  The Land Mobile Earth-Space Channel , 2011, IEEE Vehicular Technology Magazine.

[8]  Sami A. El-Dolil,et al.  Self-organised dynamic resource allocation scheme using enhanced fractional frequency reuse in long term evolution-advanced relay-based networks , 2016, IET Commun..

[9]  Meixia Tao,et al.  Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services , 2014, IEEE Transactions on Communications.

[10]  Victor C. M. Leung,et al.  Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks With Energy Harvesting Base Stations , 2017, IEEE Journal on Selected Areas in Communications.

[11]  Wei Li,et al.  Coverage Optimization in Self-organizing Small Cells , 2017, 5GWN.

[12]  Athanasios V. Vasilakos,et al.  Power Minimization Based Resource Allocation for Interference Mitigation in OFDMA Femtocell Networks , 2014, IEEE Journal on Selected Areas in Communications.

[13]  Xiaoli Chu,et al.  Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum , 2015, IEEE Communications Magazine.

[14]  Matti Latva-aho,et al.  Ultra Dense Small Cell Networks: Turning Density Into Energy Efficiency , 2016, IEEE Journal on Selected Areas in Communications.

[15]  Jie Zhang,et al.  Diversity Pulse Shaped Transmission in Ultra-Dense Small Cell Networks , 2017, IEEE Transactions on Vehicular Technology.

[16]  Victor C. M. Leung,et al.  Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges , 2017, IEEE Communications Magazine.

[17]  Thilo Gross,et al.  Design of Self-Organizing Networks: Creating Specified Degree Distributions , 2016, IEEE Transactions on Network Science and Engineering.

[18]  Hsiao-Hwa Chen,et al.  Interference-Limited Resource Optimization in Cognitive Femtocells With Fairness and Imperfect Spectrum Sensing , 2016, IEEE Transactions on Vehicular Technology.

[19]  J Cosmas,et al.  Cognitive Femtocell , 2011, IEEE Vehicular Technology Magazine.

[20]  Marc Timme,et al.  Convergence of Self-Organizing Pulse-Coupled Oscillator Synchronization in Dynamic Networks , 2017, IEEE Transactions on Automatic Control.

[21]  Xiaoli Chu,et al.  On Providing Downlink Services in Collocated Spectrum-Sharing Macro and Femto Networks , 2011, IEEE Transactions on Wireless Communications.

[22]  Marios Kountouris,et al.  Performance Limits of Network Densification , 2016, IEEE Journal on Selected Areas in Communications.

[23]  Xiaodong Yang,et al.  Energy Management in LTE Networks , 2017, IEEE Access.

[24]  Rose Qingyang Hu,et al.  Self-organization in disaster-resilient heterogeneous small cell networks , 2015, IEEE Network.

[25]  Chunxiao Jiang,et al.  Cooperative interference mitigation and handover management for heterogeneous cloud small cell networks , 2015, IEEE Wireless Communications.

[26]  Daesik Hong,et al.  Spectral Efficiency Analysis of Ultra-Dense Small Cell Networks With Heterogeneous Channel Estimation Capabilities , 2017, IEEE Communications Letters.

[27]  Holger Claussen,et al.  Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments , 2015, IEEE Communications Surveys & Tutorials.

[28]  Nirwan Ansari,et al.  Enabling Mobile Traffic Offloading via Energy Spectrum Trading , 2014, IEEE Transactions on Wireless Communications.

[29]  Jianzhong Zhang,et al.  Interference Alignment for Downlink Multi-Cell LTE-Advanced Systems With Limited Feedback , 2016, IEEE Transactions on Wireless Communications.

[30]  Bo Hu,et al.  Interference pricing in 5G ultra-dense small cell networks: a Stackelberg game approach , 2016, IET Commun..

[31]  Dong Liang,et al.  Self-configuration and self-optimization in LTE-advanced heterogeneous networks , 2013, IEEE Communications Magazine.