ENDECON ΘΑΛΗΣ 3/10/2012. Εναρκτήρια συνάντηση, Πάτρα 0. Cross-layer design of wireless communication networks with energy-optimum consumption

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1 ENDECON Εναρκτήρια συνάντηση, Πάτρα 0 Γενική π αρουσίαση του WP2 Cross-layer design of wireless communication networks with energy-optimum consumption Παρουσίαση : Κ. Μ π ερμ π ερίδης 1

2 ENDECON : WP2 WP2: Cross-layer design of wireless communication networks with energy-optimum consumption Participating Research Teams: RT-A (Leader), RT-B, RT-C, RT-D Task 2.1: Cooperative and energy-efficient beamforming techniques. Task 2.2: Cooperative and opportunistic techniques for cognitive networks. Task 2.3: Cross-layer routing techniques for different degrees of channel state information. Task 2.4: Test-bed implementation and performance evaluation Task 2.5: On the interaction between power grid and communication network 2

3 ENDECON : WP2, Task 2.1 Task 2.1: Cooperative and energy-efficient beamforming techniques 3

4 ENDECON : WP2, Task 2.1 (cont.) Beamforming: General transmission technique where proper pre-coding and postcoding matrices are used. These matrices are computed by solving constrained optimization problems. Constraints related to Quality of Communication and Consumed Power The distributed nature of the problem makes it different than MIMO Beamforming Interference Alignment (IA): Generally speaking, an IA technique aligns the interference signals to a subspace orthogonal to the one of the signals of interest at the intended receiver. Research directions: - Algorithm design for distributed beamforming - Adaptive techniques for IA - Minimize the required Channel State Information at the TX (and RX) nodes 4 ENDECON,

5 ENDECON : WP2, Task 2.2 Task 2.2: Cooperative and opportunistic techniques for cognitive networks 5

6 ENDECON : WP2, Task 2.2 (cont.) Cognitive Radio Networks: Cognitive radio technology refers to systems that are aware of their environment and capable of reconfiguring themselves to reach certain objectives. Primary (licenced) and Secondary Users In overlay CR networks, the secondary users monitor the spectrum and access it only when they sense an unused slot. In underlay CR networks, the secondary users are allowed to utilize the same frequency spectrum as the primary users in a carefully controlled manner. Research directions: Cooperative (and distributed) spectrum sensing. Track the spatio-temporal evolution of the sensed channels (adaptive channel gain cartography). Shadow and Rayleigh channel prediction. Cooperative beamforming for CRN. ENDECON, 6

7 ENDECON : WP2, Task 2.2 (cont.) Cooperative beamforming for CRN 7

8 ENDECON : WP2, Task 2.3 Task 2.3: Cross-layer routing techniques for different degrees of channel state information 8

9 ENDECON : WP2, Task 2.3 (cont.) Cross-layer design: To fully optimize wireless broadband networks, both the challenges from the physical medium and the QoS-demands from the applications have to be taken into account. Rate, power and coding at the physical layer can be adapted to meet the requirements of the applications given the current channel and network conditions. Knowledge has to be shared between (all) layers to obtain the highest possible adaptivity. Possible research directions: Opportunistic User Scheduling for Rate Maximization in CRN. New routing techniques which take into account the estimated channel map evolution (in time / frequency / space). Distributed Source Coding ENDECON, 9

10 ENDECON : WP2, Task 2.4 Task 2.4: Test-bed implementation and performance evaluation Universal Software Radio Peripherals (USRP) 10

11 ENDECON : WP2, Task 2.4 (cont.) Test-bed in USRPs: The most promising of the derived communication schemes will be implemented and evaluated using USRP nodes providing proof-ofconcept. Possible techniques to be implemented: Cooperative Beamforming Distributed Spectrum Sensing Interference Alignment techniques Distributed Source Coding 11

12 ENDECON : WP2, Task 2.5 Task 2.5: On the interaction between power grid and communication network Smart grid 12

13 ENDECON : WP2, Task 2.5 (cont.) Smart Grid (the power grid of the future): An electric system that uses information, two-way cyber-secure communication technologies, and computational intelligence, in an integrated fashion, across electricity generation, transmission, distribution and consumption to achieve an operation that is clean, safe, secure, reliable, resilient, efficient, and sustainable. The main idea: A communication network that has access to information concerning the energy grid state could plan its operations so as to optimize the energy consumption (e.g., from the regenerative resources). On the other hand, the com. network, could provide information to the power network concerning its current and forecasted needs at its different parts so as the power network to distribute the required energy in the most efficient way. Main goal: to identify, through an inter-network study, the conditions under which the communications network can be ENDECON, interfaced with the energy grid and how the desired information can 13

14 H παρούσα έρευνα έχει συγχρηματοδοτηθεί από την Ευρωπαϊκή Ένωση (Ευρωπαϊκό Κοινωνικό Ταμείο - ΕΚΤ) και από εθνικούς πόρους μέσω του Επιχειρησιακού Προγράμματος «Εκπαίδευση και Δια Βίου Μάθηση» του Εθνικού Στρατηγικού Πλαισίου Αναφοράς (ΕΣΠΑ) Ερευνητικό Χρηματοδοτούμενο Έργο:. Επένδυση στην κοινωνία της γνώσης μέσω του Ευρωπαϊκού Κοινωνικού Ταμείου.

15 ENDECON : WP2 Ε Υ Χ Α Ρ Ι Σ Τ Ω Γ Ι Α Τ Η Ν Π Ρ Ο Σ Ο Χ Η Σ Α Σ! Ε Ρ Ω Τ Η Σ Ε Ι Σ ; 15