2018 European Conference on Networks and Communications (EuCNC) 2018
DOI: 10.1109/eucnc.2018.8442523
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Energy-Efficient Sources and Relay Precoding Design for Two-Way Two-Hop MIMO-AF Systems

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Cited by 4 publications
(3 citation statements)
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“…, 2n3; 8: Obtain E b as a function of g j via (23a); 9: end while 10: if P3(g ) > P max 3 then 11: Update α3 by using a univariate root-finding method (e.g. Newton-Raphson method) for solving P3(g (α3))−P max 3 = 0 as a function of α3 in (23b); 12: Obtain g j (α3) via (25) and set E b = E b (g (α3)) in (23a); 13: end if 14: Outputs:…”
Section: Ee-optimal Relay Precoder G ⋆mentioning
confidence: 99%
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“…, 2n3; 8: Obtain E b as a function of g j via (23a); 9: end while 10: if P3(g ) > P max 3 then 11: Update α3 by using a univariate root-finding method (e.g. Newton-Raphson method) for solving P3(g (α3))−P max 3 = 0 as a function of α3 in (23b); 12: Obtain g j (α3) via (25) and set E b = E b (g (α3)) in (23a); 13: end if 14: Outputs:…”
Section: Ee-optimal Relay Precoder G ⋆mentioning
confidence: 99%
“…Hence, based on (41) and (42), the optimization problem in (19) is equivalent to the problem in (17) for G 1 = G 2 = G in (18). (25) Proof: Similar to Section B of the Appendix, P 3 (g) is defined as in (23b) when P 3 (g) < P max 3 or P 3 (g) = P max 3 when P 3 (g) ≥ P max 3 , such that P 3 (g) is either dependent or independent of g. Consequently, the Lagrangian function associated with the optimization problem in (23) can be formulated as…”
Section: Proof Of Propositionmentioning
confidence: 99%
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