On Feedback Resource Allocation in Multiple-Input-Single-Output Systems using Partial CSI Feedback
Journal article, 2015

This paper studies the problem of feedback resource allocation in multiple-input-single-output (MISO) channels utilizing partial channel state information (CSI) feedback. Considering low/moderate signal-to-noise ratios (SNRs), the optimal quantizers and the feedback bit allocation maximizing the throughput are obtained in the asymptotic case where the number of feedback bits increases. Moreover, the results are utilized to derive the optimal retransmission rates in the automatic repeat request (ARQ) protocols and joint CSI-ARQ schemes are proposed for the MISO setups. We show that uniform channel amplitude quantization is asymptotically optimal in terms of throughput. Also, the optimal retransmission rates of the incremental redundancy (INR) ARQ protocols follow an arithmetic progression in the exponential domain. Under certain conditions, a MISO system using quantized CSI can be mapped to a MISO or a SISO (S: single) setup using ARQ or joint CSI-ARQ feedback in the sense that they lead to the same throughput. Finally, to maximize the throughput, the optimal number of channel direction quantization bits should be $(M-1)$ times the number of amplitude quantization bits, where $M$ is the number of transmit antennas.

CSI quantization

MIMO transmission

HARQ feedback

joint phase-amplitude information feedback

incremental redundancy (INR) ARQ

throughput

Author

Behrooz Makki

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Tommy Svensson

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Thomas Eriksson

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

M. Debbah

SUPELEC Campus de Gif

IEEE Transactions on Communications

0090-6778 (ISSN) 15580857 (eISSN)

Vol. 63 3 816-825 7029647

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/TCOMM.2015.2398861

More information

Created

10/8/2017