Near-optimal hybrid precoding for millimeter wave massive MIMO systems via cost-efficient Sub-connected structure

Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) is a promising technology for next generation wireless communications. The utilisation of traditional full digital precoding techniques for mmWave massive MIMO systems is too costly. Fortunately, the hybrid (analogue/digital) pre...

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Veröffentlicht in:	IET communications Jg. 14; H. 14; S. 2340 - 2349
Hauptverfasser:	Huang, Yu, Liu, Chen, Song, Yunchao, Yu, Xiaolei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 25.08.2020
Schlagworte:	achievable rate analogue‐digital precoding approximate optimal solution approximation theory beampattern block diagonal constraints concave programming constant modulus convex problem convex programming cost‐efficient sub‐connected structure gigabits per second transmitting data rate interference control method interference suppression iterative methods Karush–Kuhn–Tucker point Kronecker product mean square error methods millimeter wave massive MIMO systems millimeter wave massive multiple‐input multiple‐output systems millimetre wave communication MIMO communication minimum mean square error criterion mmWave massive MIMO systems MSE near‐optimal hybrid precoding near‐optimal iterative approximation hybrid precoding algorithm next‐generation wireless communications nonconvex problem optimisation sub‐problems precoding Research Article traditional full digital precoding techniques iterative methods constant modulus Karush–Kuhn–Tucker point optimisation sub-problems precoding block diagonal constraints millimeter wave massive MIMO systems near-optimal hybrid precoding interference control method approximate optimal solution cost-efficient sub-connected structure mean square error methods MIMO communication concave programming MSE mmWave massive MIMO systems approximation theory interference suppression next-generation wireless communications millimeter wave massive multiple-input multiple-output systems convex programming Kronecker product millimetre wave communication nonconvex problem beampattern convex problem gigabits per second transmitting data rate near-optimal iterative approximation hybrid precoding algorithm minimum mean square error criterion achievable rate traditional full digital precoding techniques analogue-digital precoding
ISSN:	1751-8628, 1751-8636
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Zusammenfassung:	Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) is a promising technology for next generation wireless communications. The utilisation of traditional full digital precoding techniques for mmWave massive MIMO systems is too costly. Fortunately, the hybrid (analogue/digital) precoding is a better choice. In this study, the authors investigate a near-optimal iterative approximation hybrid precoding algorithm via cost-efficient sub-connected structure for mmWave massive MIMO systems. Based on the minimum mean square error (MSE) criterion, the optimal design of the proposed hybrid precoders is non-convex. The original problem is reformulated as two optimisation sub-problems, where one of the sub-problems is convex and another is non-convex. First, the authors convert the non-convex sub-problem into a convex problem by relaxing the constant modulus constraint from beampattern with interference control method, and eliminating the block diagonal constraint from vector operation with the properties of Kronecker product. Then the two convex sub–problems are solved iteratively. The proposed algorithm can achieve a highly approximate optimal solution, which can be theoretically demonstrated to converge to a Karush-Kuhn-Tucker point of the original problem. Simulation results show that the proposed algorithm via both sub–connected and fully connected structure gets favourable performance in terms of MSE and achievable rate.
ISSN:	1751-8628 1751-8636
DOI:	10.1049/iet-com.2019.1353