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Robust optimisation of source power and relay beamforming in multiuser wireless networks
Author(s) -
Rashid Umar,
Sarwar Muqaddas,
Awan Fahim
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.6018
Subject(s) - beamforming , relay , computer science , mathematical optimization , convexity , channel state information , wireless , computational complexity theory , channel (broadcasting) , signal to interference plus noise ratio , power (physics) , path loss , interference (communication) , joint (building) , algorithm , mathematics , telecommunications , architectural engineering , physics , quantum mechanics , financial economics , engineering , economics
In this work, a novel design for a highly non‐convex problem of joint optimisation of source power and relay beamforming vector in multi‐user systems is presented. Taking into account imperfect channel‐state information, the design problem is formulated as a non‐convex optimisation problem for the maximisation of the minimum signal‐to‐interference‐plus‐noise ratio across given users. This computationally‐intractable non‐convex problem is exploited for hidden convexity after which a path‐following algorithm with low computational complexity is developed which converges to a local optimal point after a few iterations. Extensive simulation results show that the proposed algorithm of joint design outperforms the alternating optimisations of source power and relay beamforming.

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