Optimized in-band full-duplex MIMO relay under single-stream transmission

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Optimized in-band full-duplex MIMO relay under single-stream transmission. / Ugurlu, Umut; Riihonen, Taneli; Wichman, Risto.

In: IEEE Transactions on Vehicular Technology, Vol. 65, No. 1, 7021973, 01.01.2016, p. 155-168.

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@article{ca6899dfd8e64fcaac2abef3ade51b3e,
title = "Optimized in-band full-duplex MIMO relay under single-stream transmission",
abstract = "This paper presents a coherent scheme to optimize an in-band full-duplex multiple-input-multiple-output (MIMO) relay via beamforming and transmit power allocation in a two-hop single-input-single-output (SISO) link under full channel knowledge and perfect hardware assumptions. First, we derive in closed form the optimal pair of transmit power and receive filter for a fixed transmit filter by unifying the minimum-mean-square-error (MMSE) filtering with the SISO-equivalent power allocation, as an iterative approach is not guaranteed to converge to global optimum. Second, we propose a heuristic algorithm to approximate the optimal transmit filter for a fixed receive filter. Furthermore, we study the well-known null-space projection constraint and derive a singular value decomposition (SVD)-based solution for the arbitrary-rank self-interference channel by generalizing the optimal solution under the assumption of rank-1 self-interference channel. Finally, we combine these solutions into a partially iterative algorithm in order to address the global optimization as our observations justify that some of the aforementioned schemes converge to the optimal solution under certain criteria. The numerical analysis of the proposed iterative algorithm demonstrates close-to-optimal performance relative to the theoretical upper bound of the end-to-end link in terms of maximum achievable throughput.",
keywords = "Beamforming, Full-duplex wireless communication, Multiple-input multiple-output (MIMO) systems, Relays, Selfinterference suppression",
author = "Umut Ugurlu and Taneli Riihonen and Risto Wichman",
year = "2016",
month = "1",
day = "1",
doi = "10.1109/TVT.2015.2396684",
language = "English",
volume = "65",
pages = "155--168",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
number = "1",

}

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TY - JOUR

T1 - Optimized in-band full-duplex MIMO relay under single-stream transmission

AU - Ugurlu, Umut

AU - Riihonen, Taneli

AU - Wichman, Risto

PY - 2016/1/1

Y1 - 2016/1/1

N2 - This paper presents a coherent scheme to optimize an in-band full-duplex multiple-input-multiple-output (MIMO) relay via beamforming and transmit power allocation in a two-hop single-input-single-output (SISO) link under full channel knowledge and perfect hardware assumptions. First, we derive in closed form the optimal pair of transmit power and receive filter for a fixed transmit filter by unifying the minimum-mean-square-error (MMSE) filtering with the SISO-equivalent power allocation, as an iterative approach is not guaranteed to converge to global optimum. Second, we propose a heuristic algorithm to approximate the optimal transmit filter for a fixed receive filter. Furthermore, we study the well-known null-space projection constraint and derive a singular value decomposition (SVD)-based solution for the arbitrary-rank self-interference channel by generalizing the optimal solution under the assumption of rank-1 self-interference channel. Finally, we combine these solutions into a partially iterative algorithm in order to address the global optimization as our observations justify that some of the aforementioned schemes converge to the optimal solution under certain criteria. The numerical analysis of the proposed iterative algorithm demonstrates close-to-optimal performance relative to the theoretical upper bound of the end-to-end link in terms of maximum achievable throughput.

AB - This paper presents a coherent scheme to optimize an in-band full-duplex multiple-input-multiple-output (MIMO) relay via beamforming and transmit power allocation in a two-hop single-input-single-output (SISO) link under full channel knowledge and perfect hardware assumptions. First, we derive in closed form the optimal pair of transmit power and receive filter for a fixed transmit filter by unifying the minimum-mean-square-error (MMSE) filtering with the SISO-equivalent power allocation, as an iterative approach is not guaranteed to converge to global optimum. Second, we propose a heuristic algorithm to approximate the optimal transmit filter for a fixed receive filter. Furthermore, we study the well-known null-space projection constraint and derive a singular value decomposition (SVD)-based solution for the arbitrary-rank self-interference channel by generalizing the optimal solution under the assumption of rank-1 self-interference channel. Finally, we combine these solutions into a partially iterative algorithm in order to address the global optimization as our observations justify that some of the aforementioned schemes converge to the optimal solution under certain criteria. The numerical analysis of the proposed iterative algorithm demonstrates close-to-optimal performance relative to the theoretical upper bound of the end-to-end link in terms of maximum achievable throughput.

KW - Beamforming

KW - Full-duplex wireless communication

KW - Multiple-input multiple-output (MIMO) systems

KW - Relays

KW - Selfinterference suppression

UR - http://www.scopus.com/inward/record.url?scp=84959376112&partnerID=8YFLogxK

U2 - 10.1109/TVT.2015.2396684

DO - 10.1109/TVT.2015.2396684

M3 - Article

VL - 65

SP - 155

EP - 168

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 1

M1 - 7021973

ER -

ID: 1729386