Feedback Reduction for Queue-aware Coordinated Multi-user Scheduling in Small-cell Networks

We investigate the problem of feedback reduction for queue-aware coordinated multi-user scheduling in small cell networks (SCNs). An adaptive distributed channel state information (CSI) feedback framework based on users' channel state, queue length as well as total user number is proposed. Two specific feedback algorithms are also presented within the framework. Simulation results show that our algorithm greatly reduces feedback overhead and guarantees the system performance at the same time. Besides, the proposed feedback algorithms can also be used in energy efficient coordinated multi-cell multi-user scheduling algorithms.

[1]  R. Brown,et al.  Smoothing, Forecasting, and Prediction of Discrete Time Series , 1965 .

[2]  Sampath Rangarajan,et al.  Joint load balancing, scheduling, and interference mitigation in multi-cell and multi-carrier wireless data systems , 2009, 2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.

[3]  Reuven Bar-Yehuda,et al.  Cell Selection in 4G Cellular Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[4]  Vincent K. N. Lau,et al.  Queue-Aware Dynamic Clustering and Power Allocation for Network MIMO Systems via Distributed Stochastic Learning , 2010, IEEE Transactions on Signal Processing.

[5]  Zhuyu Lei,et al.  Probability criterion based location tracking approach for mobility management of personal communications systems , 1997, GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record.

[6]  Jeffrey G. Andrews,et al.  Limited Feedback for Temporally-Correlated Channels: Feedback Rate and Delay , 2006, ArXiv.

[7]  Robert W. Heath,et al.  Interpolation based transmit beamforming for MIMO-OFDM with limited feedback , 2004, IEEE Transactions on Signal Processing.

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

[9]  Murray Hill,et al.  SCHEDULING IN A QUEUING SYSTEM WITH ASYNCHRONOUSLY VARYING SERVICE RATES , 2004 .

[10]  Robert W. Heath,et al.  Opportunistic feedback for downlink multiuser diversity , 2005, IEEE Communications Letters.

[11]  N. J. A. Sloane,et al.  Packing Lines, Planes, etc.: Packings in Grassmannian Spaces , 1996, Exp. Math..

[12]  Mohamed-Slim Alouini,et al.  How much feedback is multi-user diversity really worth? , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[13]  J. Munkres ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .

[14]  Robert W. Heath,et al.  Algorithms for quantized precoding in MIMO OFDM beamforming systems (Invited Paper) , 2005, SPIE International Symposium on Fluctuations and Noise.

[15]  Robert W. Heath,et al.  Quantization on the Grassmann Manifold , 2007, IEEE Transactions on Signal Processing.

[16]  Geert Leus,et al.  Feedback Reduction for Spatial Multiplexing with Linear Precoding , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[17]  H. Kuhn The Hungarian method for the assignment problem , 1955 .

[18]  Limin Xiao,et al.  Queue-aware energy-efficient scheduling in small-cell networks , 2014, 2014 IEEE International Conference on Communications Workshops (ICC).

[19]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[20]  Jeffrey G. Andrews,et al.  WLC38-5: Multi-Antenna Limited Feedback for Temporally-Correlated Channels: Feedback Compression , 2006, IEEE Globecom 2006.