Rate-maximized transceiver optimization for multi-antenna Device-to-Device communications

In this paper, we investigate the performance enhanced transceiver design in a Device-to-Device (D2D) communication system underlaying a cellular network. The problem of joint transmitter and receiver optimization via maximizing the entire D2D and cellular transmission rate is considered. Due to the non-convexity of the primal problem, we resort to decomposing the problem into a sequence of standard convex quadratic programs. An iterative sequential optimization algorithm is accordingly presented for joint transceiver design at both the base station and the device terminals. Computer simulations convinced the performance enhancement of our proposed scheme compared with conventional transmission schemes.

[1]  Shi Jin,et al.  Performance enhanced transmission in device-to-device communications: Beamforming or interference cancellation? , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[2]  Visa Koivunen,et al.  Interference-Aware Resource Allocation for Device-to-Device Radio Underlaying Cellular Networks , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[3]  C.-H. Yu,et al.  Power Optimization of Device-to-Device Communication Underlaying Cellular Communication , 2009, 2009 IEEE International Conference on Communications.

[4]  Carl Wijting,et al.  Device-to-device communication as an underlay to LTE-advanced networks , 2009, IEEE Communications Magazine.

[5]  Xiaodai Dong,et al.  Joint Precoding Optimization for Multiuser Multi-Antenna Relaying Downlinks Using Quadratic Programming , 2011, IEEE Transactions on Communications.

[6]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[7]  Sungsoo Park,et al.  Capacity Enhancement Using an Interference Limited Area for Device-to-Device Uplink Underlaying Cellular Networks , 2011, IEEE Transactions on Wireless Communications.

[8]  V. Koivunen,et al.  Interference-avoiding MIMO schemes for device-to-device radio underlaying cellular networks , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  Ali H. Sayed,et al.  A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels , 2007, IEEE Transactions on Wireless Communications.

[10]  Aylin Yener,et al.  Transceiver optimization for multiuser MIMO systems , 2004, IEEE Transactions on Signal Processing.

[11]  Meixia Tao,et al.  MSE-Based Transceiver Designs for the MIMO Interference Channel , 2010, IEEE Transactions on Wireless Communications.

[12]  Sami Hakola,et al.  The investigation of power control schemes for a device-to-device communication integrated into OFDMA cellular system , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[13]  Yongbin Wei,et al.  A survey on 3GPP heterogeneous networks , 2011, IEEE Wireless Communications.

[14]  Olav Tirkkonen,et al.  Resource Sharing Optimization for Device-to-Device Communication Underlaying Cellular Networks , 2011, IEEE Transactions on Wireless Communications.

[15]  Jeffrey G. Andrews,et al.  Analytical Evaluation of Fractional Frequency Reuse for Heterogeneous Cellular Networks , 2011, IEEE Transactions on Communications.

[16]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.

[17]  Wenbo Wang,et al.  Interference avoidance mechanisms in the hybrid cellular and device-to-device systems , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[18]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

[19]  Hai-Jun Huang,et al.  Efficiency Loss of the Multiclass, Multicriteria Stochastic User Equilibrium Traffic Assignment against Stochastic System Optimization , 2009 .