TY - JOUR

T1 - Distributed Beamforming in Two-Way Relay Networks with Interference and Imperfect CSI

AU - Salari, Soheil

AU - Amirani, Mohammad Zaeri

AU - Kim, Il Min

AU - Kim, Dong In

AU - Yang, Jun

N1 - Funding Information: This work was supported in part by Natural Science and Engineering Research Council (NSERC) and in part by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (2014R1A5A1011478 and 2013R1A2A2A01067195). Publisher Copyright: © 2016 IEEE.

PY - 2016/6

Y1 - 2016/6

N2 - This paper studies the problem of optimal beamforming and power allocation for an amplify-and-forward (AF)-based two-way relaying network in the presence of interference and channel state information (CSI) uncertainty. In particular, we obtain the beamforming vector as well as the users' transmit powers under two assumptions on the availability of the CSI of the interfering links, namely norm-bounded uncertainty model and the second-order statistics scenario. To do so, we develop two design approaches. The first approach is based on the total transmit power minimization technique. We start with the norm-bounded uncertainty model and derive the optimal solution to the corresponding problem. To reduce the computational complexity, we also develop a low-complexity algorithm which offers performance that is very close to the optimal one. In the second approach, we apply a signal-to-interference-plus-noise ratio (SINR) balancing technique. We propose another low-complexity algorithm based on the SINR balancing criteria. Next, we consider the scenario where the second-order statistics of the CSIs are available. Again we start with the total power minimization method and derive both optimal and suboptimal algorithms. Finally, we apply the SINR balancing technique to this scenario and develop another low-complexity algorithm, which is suitable for practice.

AB - This paper studies the problem of optimal beamforming and power allocation for an amplify-and-forward (AF)-based two-way relaying network in the presence of interference and channel state information (CSI) uncertainty. In particular, we obtain the beamforming vector as well as the users' transmit powers under two assumptions on the availability of the CSI of the interfering links, namely norm-bounded uncertainty model and the second-order statistics scenario. To do so, we develop two design approaches. The first approach is based on the total transmit power minimization technique. We start with the norm-bounded uncertainty model and derive the optimal solution to the corresponding problem. To reduce the computational complexity, we also develop a low-complexity algorithm which offers performance that is very close to the optimal one. In the second approach, we apply a signal-to-interference-plus-noise ratio (SINR) balancing technique. We propose another low-complexity algorithm based on the SINR balancing criteria. Next, we consider the scenario where the second-order statistics of the CSIs are available. Again we start with the total power minimization method and derive both optimal and suboptimal algorithms. Finally, we apply the SINR balancing technique to this scenario and develop another low-complexity algorithm, which is suitable for practice.

KW - Beamforming

KW - channel state information (CSI) uncertainty

KW - interference

KW - power allocation

KW - two-way relay network

UR - http://www.scopus.com/inward/record.url?scp=84976286768&partnerID=8YFLogxK

U2 - 10.1109/TWC.2016.2542071

DO - 10.1109/TWC.2016.2542071

M3 - Journal article

AN - SCOPUS:84976286768

VL - 15

SP - 4455

EP - 4469

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 6

M1 - 7433478

ER -