Dynamic resource allocation in mobile heterogeneous cellular networks

User mobility is a challenging issue in macro and femto cellular networks for the fifth-generation and newer mobile communications due to the time-varying interference and topology experienced. In this paper, we consider an OFDMA-based two-tier network with one macro cell and several femto cells, wherein each macro user and/or femto user can leave or enter its serving cell frequently, referred to as user mobility. A resource allocation problem with different rate requirements of mobile users is then formulated. Assuming well knowledge of the user locations and the channel state information, we propose a dynamic algorithm with static and dynamic parts for a better trade-of between computational complexity and system throughput. The static algorithm, named interference weighted cluster algorithm in this paper, is based on the graph theory to cluster the femtocells by minimizing the interference between clusters, while the dynamic algorithm is to deal with the user mobility by sharing the resource blocks under the constraints of rate requirements. Numerical results are demonstrated to show the effectiveness of the proposed dynamic resource allocation algorithm in terms of capacity, computational time, and outage probability.

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

[2]  Ta-Sung Lee,et al.  Game theoretic distributed dynamic resource allocation with interference avoidance in cognitive femtocell networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[3]  Yongbin Wei,et al.  A survey on 3GPP heterogeneous networks , 2011, IEEE Wireless Communications.

[4]  Luc Vandendorpe,et al.  Iterative Resource Allocation for Maximizing Weighted Sum Min-Rate in Downlink Cellular OFDMA Systems , 2011, IEEE Trans. Signal Process..

[5]  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.

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

[7]  Mehul Motani,et al.  Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach , 2012, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[8]  Dan Hu,et al.  Clustering strategy based on graph method and power control for frequency resource management in femtocell and macrocell overlaid system , 2011, Journal of Communications and Networks.

[9]  Alireza Attar,et al.  Collaborative Sub-Channel Allocation in Cognitive LTE Femto-Cells: A Cooperative Game-Theoretic Approach , 2013, IEEE Transactions on Communications.

[10]  Yong-Hwan Lee,et al.  Mitigation of Inter-Femtocell Interference with Adaptive Fractional Frequency Reuse , 2010, 2010 IEEE International Conference on Communications.

[11]  Victor C. M. Leung,et al.  Sensing Time Optimization and Power Control for Energy Efficient Cognitive Small Cell With Imperfect Hybrid Spectrum Sensing , 2017, IEEE Transactions on Wireless Communications.

[12]  Wei Zheng,et al.  The sub-channel allocation algorithm in femtocell networks based on Ant Colony Optimization , 2012, MILCOM 2012 - 2012 IEEE Military Communications Conference.

[13]  Kathiravetpillai Sivanesan,et al.  Dynamic eICIC — A Proactive Strategy for Improving Spectral Efficiencies of Heterogeneous LTE Cellular Networks by Leveraging User Mobility and Traffic Dynamics , 2013, IEEE Transactions on Wireless Communications.

[14]  Teofilo F. Gonzalez,et al.  P-Complete Approximation Problems , 1976, J. ACM.

[15]  Raviraj S. Adve,et al.  Distributed resource allocation in femtocell networks , 2013, 2013 13th Canadian Workshop on Information Theory.

[16]  Xiaoli Chu,et al.  Resource Allocation in Hybrid Macro/Femto Networks , 2010, 2010 IEEE Wireless Communication and Networking Conference Workshops.

[17]  Jeffrey G. Andrews,et al.  Femtocells: Past, Present, and Future , 2012, IEEE Journal on Selected Areas in Communications.

[18]  Guy Pujolle,et al.  Cluster-Based Resource Management in OFDMA Femtocell Networks With QoS Guarantees , 2014, IEEE Transactions on Vehicular Technology.

[19]  Chunxiao Jiang,et al.  Resource Allocation for Cognitive Small Cell Networks: A Cooperative Bargaining Game Theoretic Approach , 2015, IEEE Transactions on Wireless Communications.

[20]  C.-C. Jay Kuo,et al.  Multicell OFDMA Downlink Resource Allocation Using a Graphic Framework , 2009, IEEE Transactions on Vehicular Technology.

[21]  Mostafa Zaman Chowdhury,et al.  Service quality improvement of mobile users in vehicular environment by mobile femtocell network deployment , 2011, ICTC 2011.

[22]  Jeffrey G. Andrews,et al.  Spectrum allocation in tiered cellular networks , 2009, IEEE Transactions on Communications.

[23]  Jie Zhang,et al.  Interference avoidance and dynamic frequency planning for WiMAX femtocells networks , 2008, 2008 11th IEEE Singapore International Conference on Communication Systems.

[24]  Hui Tian,et al.  Clustering based interference management for QoS guarantees in OFDMA femtocell , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[25]  Victor O. K. Li,et al.  Resource Allocation in Moving Small Cell Network , 2016, IEEE Transactions on Wireless Communications.

[26]  Tho Le-Ngoc,et al.  Joint Subchannel Assignment and Power Allocation for OFDMA Femtocell Networks , 2014, IEEE Transactions on Wireless Communications.

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

[28]  Yi-Lin Tsai,et al.  A dynamic resource allocation scheme in femtocell networks considering user mobility , 2016, 2016 22nd Asia-Pacific Conference on Communications (APCC).

[29]  Jeffrey G. Andrews,et al.  Femtocell networks: a survey , 2008, IEEE Communications Magazine.

[30]  Dong-Ho Cho,et al.  A Joint Power and Subchannel Allocation Scheme Maximizing System Capacity in Indoor Dense Mobile Communication Systems , 2010, IEEE Transactions on Vehicular Technology.

[31]  Cheng-Xiang Wang,et al.  Spectral efficiency analysis of mobile Femtocell based cellular systems , 2011, 2011 IEEE 13th International Conference on Communication Technology.