F airness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast - PowerPoint PPT Presentation

F airness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Luis F. Abanto-Leon Co-author: Gek Hong (Allyson) Sim Department of Computer Science Technical University of Darmstadt IEEE International Conference on Communications (ICC 2020) SAC-IOT3: Internet of Things III (2nd Paper) Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Contents 2/ 26 1 Motivation 2 System Model 3 Problem Formulation 4 Proposed Solution 5 Simulation Results 6 Conclusions Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Motivation 3/ 26 In factories, multiple industrial devices are inherently hyper-connected via hard-wiring to ensure safety. Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Motivation 3/ 26 In factories, multiple industrial devices are inherently hyper-connected via hard-wiring to ensure safety. Wired connections hinder automation deployment and constrain the mobile robotics mechanics. Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Motivation 3/ 26 In factories, multiple industrial devices are inherently hyper-connected via hard-wiring to ensure safety. Wired connections hinder automation deployment and constrain the mobile robotics mechanics. Due to rapid densification of industrial devices, wired connections become less appealing for factories of the future. Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Motivation 3/ 26 In factories, multiple industrial devices are inherently hyper-connected via hard-wiring to ensure safety. Wired connections hinder automation deployment and constrain the mobile robotics mechanics. Due to rapid densification of industrial devices, wired connections become less appealing for factories of the future. Wireless information transmission is a viable alternative for these environments. Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Motivation 3/ 26 In factories, multiple industrial devices are inherently hyper-connected via hard-wiring to ensure safety. Wired connections hinder automation deployment and constrain the mobile robotics mechanics. Due to rapid densification of industrial devices, wired connections become less appealing for factories of the future. Wireless information transmission is a viable alternative for these environments. However, guaranteeing high performance in terms of fairness, spectral efficiency and reliability is a challenging task. Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Problem Overview 4/ 26 We investigate dual-layer non-orthogonal transmissions for in- dustrial IoT millimeter-wave communications. Primary layer: ubiquitous multicast signal devised to serve all the devices with a common message Secondary layer: composite signal consisting of private uni- cast messages. We jointly optimize the hybrid precoder , analog combiners , power allocation , and fairness . The performance is evaluated in terms of the spectral efficiency, fairness, and bit error rate. Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Solution Overview 5/ 26 We propose two solutions: PLDM-1 : designs independently the multicast precoder from the unicast precoders PLDM-2 : the multicast precoder is obtained as a combination of the unicast precoding vectors Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Non-Orthogonal Unicast/Multicast System 6/ 26 Figure: K -user Non-Orthogonal Unicast/Multicast System Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Hybrid Precoder 7/ 26 m ∈ C N RF tx × 1 : multicast digital precoder N tx s B ∈ C N RF tx × N RF tx : unicast digital precoder m B N RF F ∈ F N tx × N RF tx : analog precoder tx F � √ δ tx , . . . , √ δ tx e 2 π ( L tx − 1) � F = L tx : N tx s set of phase shifts N tx : number of transmit antennas m B N RF = N tx N RF tx : number of RF chains tx L tx : number of phase shifts Figure: Hybrid and fully-digital precoders Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions System Model 8/ 26 The downlink signal is x = F [ B | m ] [ s | z ] T (1) where F = [ f 1 , f 2 , . . . , f K ] ∈ C N tx × K : analog precoder B = [ b 1 , b 2 , . . . , b K ] ∈ C K × K : digital unicast precoder m = [ m 1 , m 2 , . . . , m K ] T ∈ C K × 1 : digital multicast precoder s = [ s 1 , s 2 , . . . , s K ] T ∈ C K × 1 : unicast symbols z ∈ C : multicast symbol Throughout the paper we assume that N RF = K tx Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions System Model 9/ 26 The received signal at user k ∈ K is w H w H y k = k H k Fm z + k H k Fb k s k � �� � � �� � common multicast signal unicast signal for device k � (2) + w H + w H k H k F b j s j k n k , � �� � j � = k noise � �� � interference at device k w k : combiner of the k -th user H k : channel between the gNodeB and the k -th user K = { 1 , . . . , K } : set of users K : number of users Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions System Model 10/ 26 The multicast and unicast SINRs at k ∈ K are � � � 2 � w H k H k Fm γ k = ˜ (3) � 2 + σ 2 � w k � 2 � � � � w H k H k Fb j j 2 � � � 2 � w H k H k Fb k γ k = (4) � 2 + σ 2 � w k � 2 � � � � w H k H k Fb j 2 . j � = k ˜ γ k : multicast SINR at the k -th user γ k : unicast SINR at the k -th user Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :

Motivation System Model Problem Formulation Proposed Solution Simulation Results Conclusions Problem Formulation 11/ 26 � γ k ) + log 2 (1 + γ k ) − C ′ ∆ P : max log 2 (1 + ˜ (5a) { w k } K k =1 , { f k } K k =1 , k { b k } K k =1 , m , ∆ s . t . | ˜ γ k − γ min | ≤ ∆ , ∀ k ∈ K , (5b) γ 1 ≥ ˜ ˜ γ 2 ≥ . . . ≥ ˜ γ K ≥ ˜ γ 1 , (5c) � Fm � 2 � � Fb k � 2 2 ≥ β, 2 / (5d) k � Fm � 2 � � Fb k � 2 2 ≤ P tx , 2 + (5e) k [ F ] q,r ∈ F , q ∈ Q , r ∈ R , (5f) [ w k ] n ∈ W , n ∈ N , ∀ k ∈ K , (5g) ∆ ≥ 0 , (5h) F : allowed phase shifts at the precoder W : allowed phase shifts at the combiners Luis F. Abanto-Leon Technical University of Darmstadt Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT Elapsed time: :