Optimal Resource Allocation for Cellular Networks with Virtual Cell Joint Decoding

This work presents a new resource allocation optimization framework for cellular networks using neighborhood-based optimization. Under this optimization framework resources are allocated within virtual cells encompassing several base-stations and the users within their coverage area. Incorporating the virtual cell concept enables the utilization of more sophisticated cooperative communication schemes such as coordinated multi-point decoding. We form the virtual cells using hierarchical clustering given a particular number of such cells. Once the virtual cells are formed, we consider a cooperative decoding scheme in which the base-stations in each virtual cell jointly decode the signals that they receive. We propose an iterative solution for the resource allocation problem resulting from the cooperative decoding within each virtual cell. Numerical results for the average system sum rate of our network design under hierarchical clustering are presented. These results indicate that virtual cells with neighborhood-based optimization leads to significant gains in sum rate over optimization within each cell, yet may also have a significant sum-rate penalty compared to fully-centralized optimization.

[1]  Jon W. Mark,et al.  A clustering scheme based on timing requirements in coordinated base-stations cooperative communications , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[2]  Ali Imran,et al.  Coordinated Multi-Point Clustering Schemes: A Survey , 2017, IEEE Communications Surveys & Tutorials.

[3]  Andrea J. Goldsmith,et al.  "Fog" Optimization via Virtual Cells in Cellular Network Resource Allocation , 2019, ArXiv.

[4]  Ying Wang,et al.  A two-stage cluster-based resource management scheme in ultra-dense networks , 2014, 2014 IEEE/CIC International Conference on Communications in China (ICCC).

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

[6]  Parul Gupta,et al.  Practical considerations in cluster design for Co-ordinated Multipoint (CoMP) systems , 2013, 2013 IEEE International Conference on Communications (ICC).

[7]  Michael I. Jordan,et al.  On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.

[8]  Walid Saad,et al.  Author manuscript, published in "IEEE Transactions on Wireless Communications (2009) Saad-ITransW-2009" A Distributed Coalition Formation Framework for Fair User Cooperation in Wireless Networks , 2022 .

[9]  Holger Claussen,et al.  An overview of the femtocell concept , 2008, Bell Labs Technical Journal.

[10]  Sean A. Ramprashad,et al.  A Joint Scheduling and Cell Clustering Scheme for MU-MIMO Downlink with Limited Coordination , 2010, 2010 IEEE International Conference on Communications.

[11]  Kiyomichi Araki,et al.  Diamond cellular network — Optimal combination of small power basestations and CoMP cellular networks- , 2013, 2013 IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops).

[12]  Wei Yu,et al.  Uplink Multicell Processing with Limited Backhaul via Per-Base-Station Successive Interference Cancellation , 2012, IEEE Journal on Selected Areas in Communications.

[13]  Wei Yu,et al.  Cloud radio access network: Virtualizing wireless access for dense heterogeneous systems , 2015, Journal of Communications and Networks.

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

[15]  Dong Wang,et al.  Resource allocation via hierarchical clustering in dense small cell networks: A correlated equilibrium approach , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[16]  Gerhard Fettweis,et al.  Static Clustering for Cooperative Multi-Point (CoMP) in Mobile Communications , 2011, 2011 IEEE International Conference on Communications (ICC).

[17]  Hao Xu,et al.  A Wideband Spatial Channel Model for System-Wide Simulations , 2007, IEEE Transactions on Vehicular Technology.

[18]  Chengwen Xing,et al.  Dynamic clustering algorithm design for ultra dense small cell networks in 5G , 2015, 2015 10th International Conference on Communications and Networking in China (ChinaCom).

[19]  Shlomo Shamai,et al.  Fronthaul Compression for Cloud Radio Access Networks: Signal processing advances inspired by network information theory , 2014, IEEE Signal Processing Magazine.

[20]  Yiqing Zhou,et al.  Coordinated Multipoint Transmission in Dense Cellular Networks With User-Centric Adaptive Clustering , 2014, IEEE Transactions on Wireless Communications.

[21]  N. Saxena,et al.  A novel static clustering approach for CoMP , 2012, 2012 7th International Conference on Computing and Convergence Technology (ICCCT).

[22]  Ning Wang,et al.  Dynamic User-Centric Clustering for Uplink Cooperation in Multi-Cell Wireless Networks , 2018, IEEE Access.

[23]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[24]  Wei Yu,et al.  Multi-Cell MIMO Cooperative Networks: A New Look at Interference , 2010, IEEE Journal on Selected Areas in Communications.

[25]  Wen Yao,et al.  Interference management scheme of ultra dense network based on clustering , 2017, 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).

[26]  Lars Thiele,et al.  Coordinated multipoint: Concepts, performance, and field trial results , 2011, IEEE Communications Magazine.

[27]  Mehdi Bennis,et al.  Design and Deployment of Small Cell Networks , 2015 .

[28]  David Gesbert,et al.  A Dynamic Clustering Approach in Wireless Networks with Multi-Cell Cooperative Processing , 2008, 2008 IEEE International Conference on Communications.

[29]  Dacheng Yang,et al.  Clustering Approach in Coordinated Multi-Point Transmission/Reception System , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[30]  Shlomo Shamai,et al.  Cooperative Wireless Cellular Systems: An Information-Theoretic View , 2012, Found. Trends Commun. Inf. Theory.

[31]  Robert Tibshirani,et al.  Hierarchical Clustering With Prototypes via Minimax Linkage , 2011, Journal of the American Statistical Association.

[32]  Yongbin Wei,et al.  Coordinated downlink multi-point communications in heterogeneous cellular networks , 2012, 2012 Information Theory and Applications Workshop.

[33]  Changyin Sun,et al.  Interference management based on cell clustering in ultra-highly dense small cell networks , 2015 .