Joint virtual edge-clustering and spectrum allocation scheme for uplink interference mitigation in C-RAN

Abstract Fractional Frequency Reuse (FFR) and Coordinated MultiPoint (CoMP) processing are two of the conventional methods to mitigate the Inter-Cell Interference (ICI) and to improve the average Signal-to-Interference-plus-Noise Ratio (SINR). However, FFR is associated with low system spectral efficiency and CoMP does not take any action to mitigate the inter-cluster interference. In this article, we study the challenges and problems of the current interference management techniques and explain why the clustering and spectrum allocation must be studied jointly. Then, in the context of Cloud Radio Access Network (C-RAN), we propose a joint virtual clustering and spectrum allocation scheme, called Cloud-CFFR , to address such problems. With respect to both FFR and CoMP, Cloud-CFFR decreases the complexity, delay, and ICI while increasing the system spectral efficiency. Since the system performance in cell-edge regions relies on the cooperation of different Virtual Base Stations (VBSs), there is no service interruption in handling handovers; moreover, in order to address the unanticipated change in capacity demand, a flexible spectrum management technique is proposed which dynamically changes the subband boundaries based on the number of active users in the clusters. Simulation results confirm the validity of our analysis and show the benefits of this novel uplink solution compared to the traditional schemes.

[1]  Dario Pompili,et al.  Dynamic Radio Cooperation for User-Centric Cloud-RAN With Computing Resource Sharing , 2017, IEEE Transactions on Wireless Communications.

[2]  Dario Pompili,et al.  QuaRo: A Queue-Aware Robust Coordinated Transmission Strategy for Downlink C-RANs , 2016, 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[3]  Satoshi Nagata,et al.  Coordinated multipoint transmission and reception in LTE-advanced: deployment scenarios and operational challenges , 2012, IEEE Communications Magazine.

[4]  Dario Pompili,et al.  Elastic resource utilization framework for high capacity and energy efficiency in cloud RAN , 2016, IEEE Communications Magazine.

[5]  Pin-Han Ho,et al.  Energy Efficiency in TDMA-Based Next-Generation Passive Optical Access Networks , 2014, IEEE/ACM Transactions on Networking.

[6]  Jeffrey G. Andrews,et al.  Networked MIMO with clustered linear precoding , 2008, IEEE Transactions on Wireless Communications.

[7]  Long Bao Le,et al.  Energy-efficient coordinated transmission for Cloud-RANs: Algorithm design and trade-off , 2014, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

[8]  Gabriel Montoro,et al.  Resource management implications and strategies for SDR clouds , 2012 .

[9]  Wai Ho Mow,et al.  On the Performance of the MIMO Zero-Forcing Receiver in the Presence of Channel Estimation Error , 2007, IEEE Transactions on Wireless Communications.

[10]  Abbas Mohammadi,et al.  Interference-constraint spectrum allocation model for cognitive radio networks , 2012, 2012 6th IEEE International Conference Intelligent Systems.

[11]  Dario Pompili,et al.  Cloud-CFFR: Coordinated Fractional Frequency Reuse in Cloud Radio Access Network (C-RAN) , 2015, 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems.

[12]  Dario Pompili,et al.  Dynamic joint processing: Achieving high spectral efficiency in uplink 5G cellular networks , 2017, Comput. Networks.

[13]  Qian Zhang,et al.  Transmission Mode Selection for Downlink Coordinated Multipoint Systems , 2013, IEEE Transactions on Vehicular Technology.

[14]  Muhammad Ali Imran,et al.  Energy Efficiency Analysis of Idealized Coordinated Multi-Point Communication System , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[15]  Sampath Rangarajan,et al.  The case for re-configurable backhaul in cloud-RAN based small cell networks , 2013, 2013 Proceedings IEEE INFOCOM.

[16]  Nirwan Ansari,et al.  Maximizing Network Capacity of Cognitive Radio Networks by Capacity-Aware Spectrum Allocation , 2015, IEEE Transactions on Wireless Communications.

[17]  Dario Pompili,et al.  DJP: Dynamic Joint Processing for Interference Cancellation in Cloud Radio Access Networks , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[18]  Jianzhong Zhang,et al.  Proportional-Fair Resource Allocation for Coordinated Multi-Point Transmission in LTE-Advanced , 2016, IEEE Transactions on Wireless Communications.

[19]  Walid Saad,et al.  Inter-network dynamic spectrum allocation via a Colonel Blotto game , 2016, 2016 Annual Conference on Information Science and Systems (CISS).

[20]  Yuan Li,et al.  Heterogeneous cloud radio access networks: a new perspective for enhancing spectral and energy efficiencies , 2014, IEEE Wireless Communications.

[21]  Dario Pompili,et al.  Dynamic provisioning and allocation in Cloud Radio Access Networks (C-RANs) , 2015, Ad Hoc Networks.

[22]  Ekram Hossain,et al.  Fractional frequency reuse for interference management in LTE-advanced hetnets , 2013, IEEE Wireless Communications.

[23]  Narayan B. Mandayam,et al.  A dynamic colonel blotto game model for spectrum sharing in wireless networks , 2017, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[24]  Lei Li,et al.  Recent Progress on C-RAN Centralization and Cloudification , 2014, IEEE Access.

[25]  Karthikeyan Sundaresan,et al.  FluidNet: A Flexible Cloud-Based Radio Access Network for Small Cells , 2013, IEEE/ACM Transactions on Networking.

[26]  Wenhua Jiao,et al.  Fast Handover Scheme for Real-Time Applications in Mobile WiMAX , 2007, 2007 IEEE International Conference on Communications.

[27]  Mohamad Assaad Optimal Fractional Frequency Reuse (FFR) in Multicellular OFDMA System , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[28]  Francisco R. P. Cavalcanti Resource Allocation and MIMO for 4G and Beyond , 2013 .

[29]  Dario Pompili,et al.  "Cocktail Party in the Cloud": Blind Source Separation for Co-Operative Cellular Communication in Cloud RAN , 2014, 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems.