2016
DOI: 10.1109/twc.2016.2542071
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Distributed Beamforming in Two-Way Relay Networks With Interference and Imperfect CSI

Abstract: 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 firs… Show more

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Cited by 19 publications
(19 citation statements)
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“…The works in [15], [16] consider the channel errors as Gaussian random vectors with known statistical distributions between the source to the relay nodes and the relay nodes to the destination, whereas [17] models the channel errors on their covariance matrices as a type of matrix perturbation. The work in [17], [19], [20] presents a robust design, which ensures that the SNR constraint is satisfied in the presence of imperfect CSI by adopting a worst-case design and formulates the problem as a convex optimization problem that can be solved efficiently. Similar approaches that use the worst-case method can be found in conventional beamforming as in [21], [22].…”
Section: A Prior and Related Workmentioning
confidence: 99%
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“…The works in [15], [16] consider the channel errors as Gaussian random vectors with known statistical distributions between the source to the relay nodes and the relay nodes to the destination, whereas [17] models the channel errors on their covariance matrices as a type of matrix perturbation. The work in [17], [19], [20] presents a robust design, which ensures that the SNR constraint is satisfied in the presence of imperfect CSI by adopting a worst-case design and formulates the problem as a convex optimization problem that can be solved efficiently. Similar approaches that use the worst-case method can be found in conventional beamforming as in [21], [22].…”
Section: A Prior and Related Workmentioning
confidence: 99%
“…To this point, all the K channel components off k (i) can be obtained so that we haveF k (i) = [f 1 (i),f 2 (i), · · · ,f K (i)]. In the next step, we will use the estimated mismatched channel components to provide estimates for the matrix quantitieŝ R k (i) (k = 1, · · · , K),Q(i) andD(i) in (20) as follows: 6 To proceed further, we defineÛ(i) =Q(i) + K k=2R k (i) so that (20) can be written as…”
Section: Proposed Lrcc-rdb Techniquementioning
confidence: 99%
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“…By taking account into the channel uncertainties, the imperfect CSI scenario has been studied in [20][21][22][23][24][25]. In [20], joint relay and jammer selection and power control for physical layer security issues in two-way relay networks are studied to maximize the secrecy capacity of the network.…”
Section: Introductionmentioning
confidence: 99%
“…A low complexity processing matrices are presented for a multi-pair two-way massive MIMO AF full-duplex relay system [22]. Specifically, in [23], the problem of optimal beamforming and power allocation for an AF-based TWRN is studied in the presence of interference and CSI uncertainty, where two different approaches, namely the total power minimization method and the signal-to-interference-plusnoise-ratio (SINR) balancing technique, are proposed. Particularly, the robust two-way relay precoder design for a cognitive radio network is investigated in [24], where two different types of CSI errors with corresponding robust designs are proposed.…”
Section: Introductionmentioning
confidence: 99%