Achievable Transmission Rates and Self-Interference Channel Estimation in Hybrid Full-Duplex/Half-Duplex MIMO Relaying



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Achievable Transmission Rates and Self-Interference Channel Estimation in Hybrid Full-Duplex/Half-Duplex MIMO Relaying Dani Korpi 1, Taneli Riihonen 2,3, Katsuyuki Haneda 4, Koji Yamamoto 5, and Mikko Valkama 1 1 Department of Electronics and Communications Engineering, Tampere University of Technology, Finland 2 Department of Signal Processing and Acoustics, Aalto University School of Electrical Engineering, Finland 3 Department of Electrical Engineering, Columbia University in the City of New York, United States 4 Department of Radio Science and Engineering, Aalto University School of Electrical Engineering, Finland 5 Department of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University, Japan

Introduction Recent findings, e.g. 1, have clearly shown that inband full-duplex is technically feasible Here we focus on full-duplex relay applications The next question is how to best use the fullduplex capability Always transmitting and receiving at the same time, or perhaps choosing the operation mode more wisely? 1 M. Heino, D. Korpi, T. Huusari, E. Antonio-Rodríguez, S. Venkatasubramanian, T. Riihonen, L. Anttila, C. Icheln, K. Haneda, R. Wichman, and M. Valkama, "Recent Advances in Antenna Design and Interference Cancellation Algorithms for In-band Full-Duplex Relays," IEEE Communications Magazine, vol. 53, no. 5, pp. 91-101, May 2015. 8.9.2015

Introduction In this work, we explore this question in a simple two-hop relay system with a full-duplex capable relay (R) What kind of transmission scheme eventually maximizes the end-to-end rate between the source (S) and the destination (D)? Is it this? SR RD Source S Relay R Destination D 8.9.2015 3

Introduction Or this? 1. SR Source S Relay R Destination D 2. RD Source Relay Destination S Or some combination of the two? R D 8.9.2015 4

Introduction Even though pure full-duplex relaying might be conceptually the most appealing option, many practical issues affect end-to-end performance For instance, the SR and RD links might have different path losses, resulting in different SNRs and thus different achievable data rates between the two links Also, for accurate self-interference (SI) cancellation, the SI channel must be estimated at some point This is challenging to do if the relay is also receiving a signal, since the useful RX signal acts as noise from SI channel estimation perspective i.e., there are tradeoffs 8.9.2015 5

Proposed scheme In this work, we actually propose a scheme that combines the half-duplex and full-duplex approaches The interesting question is whether it performs better than either the pure full-duplex or pure half-duplex scheme This can be determined by evaluating the relay system end-to-end performance in different scenarios Taking into account the inherent transmission capability as well as the performance limitations due to SI channel 8.9.2015 6 estimation errors and RF component imperfections

Proposed scheme τ SR τ RD Self-interference channel coherence time (T coh ) SR transmission without SI (τ SR ) RD transmission (τ RD ) Simultaneous SR and RD transmission with self-interference (SI) at the relay (T coh - τ RD ) Half-duplex operation Self-interference channel estimation τ tot Full-duplex operation The lengths of the different communication modes can be adjusted time Next we seek to understand what is the optimum partitioning between HD/FD modes, and how does that link to SI channel estimation 8.9.2015 7

Achievable source-todestination throughput IEEE VTC2015-Fall, Boston, USA The S-D throughput of the system can be expressed as follows: C = min τ SR τ tot C SR HD + T coh τ RD τ tot C FD SR, τ RD τ tot C HD RD + T coh τ RD τ tot FD C RD Source-to-relay Relay-to-destination τ SR, and τ RD, are the times spent in HD mode, T coh is the SI channel coherence time and τ tot = T coh +τ SR The time ratios determine the proportion of time spent in each mode during the relaying procedure The achievable end-to-end rate is determined by the smaller of these two rates (S-R, R-D) 8.9.2015 8

Achievable source-todestination throughput IEEE VTC2015-Fall, Boston, USA The rate expressions are here calculated using the well-known Shannon-Hartley theorem, i.e., C x y = N x i=1 log 2 1 + sinr y 2 i,x λ i,x Here, x SR, RD, y HD, FD, N x is the number of spatial streams, sinr y i,x is the signal-to(-interference-plus)-noise ratio, and λ i,x is the ith singular value of the channel matrix The SINR is defined by the received signal power, noise power and in the FD relay also by the SI cancellation performance This is greatly affected by the presence of the source-to-relay transmission during SI channel estimation More detailed SINR expressions available in the paper 8.9.2015 9

Numerical evaluations Full-duplex relay IEEE VTC2015-Fall, Boston, USA BPF LNA IQ Mixer LPF VGA ADC Digital signal processing Destination Source RF signal processing IQ Mixer DAC LPF IQ Mixer VGA PA Parameter Value Signal bandwidth 12.5 MHz Waveform OFDM Number of TX antennas at the source 2 Number of RX/TX antennas at the relay 2/2 Number of RX antennas at the destination 2 SNR per receiver at the relay, SNR R 15 db SNR per receiver at the destination, SNR D 20 db Parameter (cont.) Value Total transmit power of the relay 20 dbm Analog SI attenuation at the relay 70 db IRR at relay (TX & RX) 25 db Relay TX PA IIP3 18 dbm Relay RX ADC bits 12 SI channel estimation sample size at the relay 5000 SI channel coherence time 1 ms Widely linear digital canceller is adopted at the relay to cancel the SI in the digital domain Can process the IQ mismatch but not PA induced nonlinear distortion 8.9.2015 10

Side-step: IEEE VTC2015-Fall, Boston, USA Reference RF measurements -75 db These measurements were done using a novel relay antenna design and a self-adaptive RF canceller Approximately 75 db of total analog SI cancellation was achieved The measurements were done with an LTE waveform at 2.47 GHz and a transmit power of +20 dbm 8.9.2015 11

Numerical evaluations IEEE VTC2015-Fall, Boston, USA Here SNR at relay, SNR R, fixed at 15 db Throughputs for the proposed scheme with different RX signal strengths at the destination The length of the HD RD transmission period is varied Throughput is maximized when the SI channel can be estimated without interference SI channel estimation sample size is fixed (equal to vertical 12 dashed line)

Numerical evaluations Next, five different communication schemes are compared: Flexible hybrid scheme, which has no limitations on the lengths of the communication periods (as long as τ RD T coh ) Fixed hybrid scheme, where the value of τ RD is chosen such that it corresponds to the time required for estimating the SI channel Pure full-duplex scheme, where τ SR = τ RD = 0 Pure half-duplex scheme, where the transmission periods τ SR and τ RD are chosen optimally to maximize the relay-todestination throughput Pure half-duplex scheme with equal transmission periods, where τ SR = τ RD 8.9.2015 13

Numerical evaluations IEEE VTC2015-Fall, Boston, USA SNR R The flexible and fixed hybrid schemes perform best, thanks to interference-free SI channel estimation It is optimal to choose the length of the HD RD period to match the length of the SI channel estimation period With low RX signal power at the relay, also a half-duplex period between source and relay is needed if exactly optimum solution is targeted 14

Numerical evaluations IEEE VTC2015-Fall, Boston, USA The transmit power has a direct effect on the SINR at the relay due to RF impairments With the chosen simulation parameters, 20 dbm is the highest feasible transmit power After this, the throughput of the SR link drops too low because widely linear digital canceller cannot anymore suppress all remaining SI 15

Conclusion Both half- and full-duplex communication periods are needed to maximize the throughput of a two-hop link In particular, the full-duplex relay should estimate its SI channel during a half-duplex period These findings help in optimizing the deployment of full-duplex MIMO relays in future mobile networks 8.9.2015 16

Thank you! Questions? 8.9.2015 17