Two-user downlink non-orthogonal multiple access with limited feedback

In this paper, we analyze downlink non-orthogonal multiple access (NOMA) networks with limited feedback. Our goal is to derive appropriate transmission rates for rate adaptation based on distributed channel feedback information from two receivers. We propose an efficient quantizer with variable-length encoding that approaches the best performance of the case where perfect channel state information is available everywhere. We prove that in the typical application with two receivers, the loss in the minimum rate decays at least exponentially with the minimum feedback rate. Numerical simulations are presented to demonstrate the efficiency of our proposed quantizer and the accuracy of the analytical results.

[1]  Thomas M. Cover,et al.  Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing) , 2006 .

[2]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE Trans. Inf. Theory.

[3]  Jose Armando Oviedo,et al.  A new NOMA approach for fair power allocation , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[4]  Di Yuan,et al.  On Power Minimization for Non-orthogonal Multiple Access (NOMA) , 2016, IEEE Communications Letters.

[5]  Zhiguo Ding,et al.  A General Power Allocation Scheme to Guarantee Quality of Service in Downlink and Uplink NOMA Systems , 2016, IEEE Transactions on Wireless Communications.

[6]  Zhiguo Ding,et al.  On the Outage Performance of Non-Orthogonal Multiple Access With 1-bit Feedback , 2016, IEEE Transactions on Wireless Communications.

[7]  Jinho Choi,et al.  Power Allocation for Max-Sum Rate and Max-Min Rate Proportional Fairness in NOMA , 2016, IEEE Communications Letters.

[8]  H. Vincent Poor,et al.  A New Evaluation Criterion for Non-Orthogonal Multiple Access in 5G Software Defined Networks , 2015, IEEE Access.

[9]  H. Vincent Poor,et al.  A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment , 2015, IEEE Transactions on Wireless Communications.

[10]  H. Vincent Poor,et al.  Design of Massive-MIMO-NOMA With Limited Feedback , 2015, IEEE Signal Processing Letters.

[11]  Pingzhi Fan,et al.  On the Performance of Non-orthogonal Multiple Access Systems With Partial Channel Information , 2016, IEEE Transactions on Communications.

[12]  Hamid Jafarkhani,et al.  Distributed Beamforming in Wireless Multiuser Relay-Interference Networks With Quantized Feedback , 2010, IEEE Transactions on Information Theory.

[13]  Anass Benjebbour,et al.  System-level performance evaluation of downlink non-orthogonal multiple access (NOMA) , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[14]  Hamid Jafarkhani,et al.  Multicast Networks With Variable-Length Limited Feedback , 2015, IEEE Transactions on Wireless Communications.

[15]  Jinho Choi,et al.  On the Power Allocation for a Practical Multiuser Superposition Scheme in NOMA Systems , 2016, IEEE Communications Letters.

[16]  Hamid Jafarkhani,et al.  Variable-Length Limited Feedback Beamforming in Multiple-Antenna Fading Channels , 2014, IEEE Transactions on Information Theory.

[17]  Hamid Jafarkhani,et al.  Downlink Non-Orthogonal Multiple Access With Limited Feedback , 2017, IEEE Transactions on Wireless Communications.

[18]  Pingzhi Fan,et al.  A Novel Power Allocation Scheme Under Outage Constraints in NOMA Systems , 2016, IEEE Signal Processing Letters.

[19]  Hamid Jafarkhani,et al.  Cooperative Quantization for Two-UserInterference Channels , 2015, IEEE Transactions on Communications.

[20]  Zhi-Quan Luo,et al.  Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity , 2014, IEEE Journal on Selected Areas in Communications.