"Cocktail Party in the Cloud": Blind Source Separation for Co-Operative Cellular Communication in Cloud RAN

Due to the rapid growing popularity of mobile Internet, broadband cellular wireless systems are expected to offer higher and higher data rates even in high-mobility environments. Cloud Radio Access Network (C-RAN) is a new centralized paradigm for broadband wireless access that addresses efficiently the fluctuation in capacity demand through real-time inter-Base Station (BS) cooperation. An innovative Blind Source Separation (BSS)-based cellular communication solution for CRANs, Cloud-BSS, which leverages the inter-BS cooperation, is proposed. Cloud-BSS groups contiguous cells into clusters - sets of neighboring cells inside which mobile stations do not need to perform handovers - and allows them to use all of the frequency channels. The proposed solution is studied under different network topologies, and a novel strategy, called Channel-Select, to improve the Signal-to-Noise Ratio (SNR) is introduced. Cloud-BSS enhances the cluster spectral efficiency, decreases handovers, eliminates the need for bandwidth-consuming channel estimation techniques, and mitigates interference. Simulation results, which are discussed along with concepts, confirm these expectations.

[1]  C-ran the Road towards Green Ran , 2022 .

[2]  Aapo Hyvärinen,et al.  A Fast Fixed-Point Algorithm for Independent Component Analysis of Complex Valued Signals , 2000, Int. J. Neural Syst..

[3]  J. Varah A lower bound for the smallest singular value of a matrix , 1975 .

[4]  Qing Wang,et al.  Wireless network cloud: Architecture and system requirements , 2010, IBM J. Res. Dev..

[5]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

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

[7]  Xiaodong Wang,et al.  Coordinated load balancing, handoff/cell-site selection, and scheduling in multi-cell packet data systems , 2008, Wirel. Networks.

[8]  Takuro Sato,et al.  Performance of handoff algorithm based on distance and RSSI measurements , 2002, IEEE Trans. Veh. Technol..

[9]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[10]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[11]  Johan Eilert,et al.  Implementation Aspects of Channel Estimation for 3GPP LTE Terminals , 2011, EW.

[12]  Stefan Parkvall,et al.  LTE: the evolution of mobile broadband , 2009, IEEE Communications Magazine.

[13]  Shivkumar Kalyanaraman,et al.  Unlocking wireless performance with co-operation in co-located base station pools , 2010, 2010 Second International Conference on COMmunication Systems and NETworks (COMSNETS 2010).

[14]  Syed Ali Jafar,et al.  Approaching the Capacity of Wireless Networks through Distributed Interference Alignment , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[15]  Tülay Adali,et al.  Complex Independent Component Analysis by Entropy Bound Minimization , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[16]  R. Varga On diagonal dominance arguments for bounding ‖A-1‖∞ , 1976 .

[17]  Malolan Chetlur,et al.  Quantifying multiplexing gains in a Wireless Network Cloud , 2012, 2012 IEEE International Conference on Communications (ICC).