Sum-rate scheduling of decode-and-forward broadcast channel with limited-feedback

In wireless dual-hop decode-and-forward (DF) relaying networks, multiple relay stations (RS) and users construct a multiple-in-multiple-out (MIMO) broadcast channel (BC). Due to unpredictable decoding failure, scheduling the transmission for the decode-and-forward broadcast channel (DFBC) should depend on not only channel qualities but also the availability of errorless data at individual RSs. Based on the reception qualities of RSs and channel quality information (CQI), we propose a new centralized scheduling scheme to maximize the sum rate of the DFBC. An exact closed-form expression for the sum rate is derived to analyze the new scheme. Simulations demonstrate that the derived closed-form expression is able to quantify the proposed scheduling method accurately. It is also revealed that extra cooperative diversity can be exploited by employing the increased number of RSs, thereby improving sum rate.

[1]  R. Heath,et al.  Limited feedback unitary precoding for spatial multiplexing systems , 2005, IEEE Transactions on Information Theory.

[2]  Federico Boccardi,et al.  Relay transmission schemes with multiple antennas for wireless backhaul networks , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

[3]  Chiung-Jang Chen,et al.  Performance Analysis of Scheduling in Multiuser MIMO Systems with Zero-Forcing Receivers , 2007, IEEE Journal on Selected Areas in Communications.

[4]  Robert W. Heath,et al.  An overview of limited feedback in wireless communication systems , 2008, IEEE Journal on Selected Areas in Communications.

[5]  Norman C. Beaulieu,et al.  Selective Decode-and-Forward Relaying Scheme for Multi-Hop Diversity Transmission Systems , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[6]  Aria Nosratinia,et al.  Opportunistic Beamforming with Limited Feedback , 2007, IEEE Transactions on Wireless Communications.

[7]  Jeffrey H. Reed,et al.  Log-Likelihood-Ratio based Selective Decode and Forward Cooperative Communication , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[8]  Bhaskar D. Rao,et al.  Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach , 2006, IEEE Transactions on Information Theory.

[9]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[10]  S. Venkatesan,et al.  Network MIMO: Overcoming Intercell Interference in Indoor Wireless Systems , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[11]  Daniel J. Ryan,et al.  QAM Codebooks for Low-Complexity Limited Feedback MIMO Beamforming , 2007, 2007 IEEE International Conference on Communications.

[12]  Reinaldo A. Valenzuela,et al.  Coordinating multiple antenna cellular networks to achieve enormous spectral efficiency , 2006 .

[13]  Matthew R. McKay,et al.  Maximum sum-rate of MIMO multiuser scheduling with linear receivers , 2008, IEEE Transactions on Communications.