Software defined radio networking: Opportunities and challenges

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Software defined radio networking: Opportunities and challenges Navid Nikaein Putting more IT/SW to the network EURECOM, Mobile Communication Department

Eurecom Graduate school and research center in the form of consortium Brings together French and international industries and academies Mobile Communication Department http://www.eurecom.fr/cm Communication Theory Group Advanced Wireless Technologies Wireless System and Protocols 25/10/2013 - - p 2

Trends and use cases Drivers User Requirements, Cost, Energy, and Sustainability Global energy budget? Massive Traffic Growth Global network architecture? Number of connected devices Global network cost? Divers use-cases Enablers Ubiquity, Mobility, and Wireless 24/10/2013 - - p 3

Fundamental Challenges Deep Impact of the network architecture Very High Data Rate Dense & Massive & Hetreo Very Low Latency H2020 Mixed Traffic Very Low Cost & Energy Mobility & Hostile Env. 24/10/2013 - - p 4

Mobility and Energy Mobility creates network dynamics Time-varying energy consumption Application User Context Mobility Protocol Channel Traffic Energy 24/10/2013 - - p 5

Energy Environmental and Cost Aspect Worldwide energy consumed by ICT, currently, is 3% 2% of total carbon emission, of which 0.2% represents wireless Energy Cost: 4 million BS On the grid: 3000$/Year Off the grid: 10x more renewable source Source: Z. Hasan et al. 24/10/2013 - - p 6

Fundamental Trade-offs Interplay between energy and cost / bandwidth / rate / delay Trading for Energy Increasing network cost for a given performance? Expanding the bandwidth for a given rate requirement? Reducing the transmission rate for a given bandwidth? Delaying the service time without deviating a given QoS? Business Model Economics Policy Service Source: C. Yan Technology 24/10/2013 - - p 7

Paradigm Shift to Maintain Profitability Current Network Challenges Fixed power Full coverage Full load Max. spectral efficiency HTC traffic Power Proportional Coverage scaling Load-aware Energy-aware Mixed HTC and MTC Cyber-physical systems 25/10/2013 - - p 8

Paradigm Shift to Maintain Profitability Current Network Seen as different transport pipes Not flexible Not scalable Costly Homogeneous Emerging Technologies SDN: Cost SON: <40% XaaS/NFV: Cost SDR : Cost & Energy Spectrum Sharing: <50% Heterogeneous: <60% Cooperation, 24/10/2013 - - p 9

SDN ijoin and CellSDN projects Switches can easily handle the state and bandwidth Improves the scalability and flexibility 24/10/2013 - - p 10

SDN OpenRadio: Why aren t network and apps/user/device a partner? Open the wireless infrastructure to provide users, applications, and carriers control over their state across all layers in an end to end manner? Femtocell 3G LTE WiFi 24/10/2013 - - p 12

Cloudification of Radio Network MCN project On-Demand, Self-Service, Elasticity, Pay-as-you-Go, Remote Access Infrastructure- Platform- Software-as-a-Service (IaaS/PaaS/SaaS) CAPEX : # of equipment OPEX: centralization and energy saving RRH 24/10/2013 - - p 13

SDR Full GPP BBU is not a myth: Local or in the Cloud enb RX enb Tx OFDM_demod time :202.992302 us (100 trials) ULSCH demodulation time :347.516264 us (100 trials) ULSCH Decoding time (39.23 Mbit/s, avg iter 2.000000) :1271.786873 us (100 trials) OFDM_mod time :176.144838 us (100 trials) DLSCH modulation time :55.319101 us (100 trials) DLSCH scrambling time :22.194255 us (100 trials) DLSCH encoding time :79.016000 us (100 trials) Summary (processing for 1ms subframe) RX : 1820 ms (< 2 cores) TX : 330 ms (1/3 core) On 3 GHz machine, < 2 cores for 20 MHz enb On future AVX2 (256-bit SIMD), turbo decoding and FFT processing will be exactly twice as fast 1 core per enb 24/10/2013 - - p 14

Unified Software Interface Build a Complex Service as a software Fine-grain control on how application, user, device, and/or operator are served? Business Model Application / Services Energy SON Spectrum Sharing Economics Mobility Network Control & Adaptation Storage Policy Unified Network Measurement & Management (API) (Cloud) Radio Network OS 3G Service WiFi Technology Femtocell LTE 24/10/2013 - - p 15

Conclusion Requirement for next generation mobile network are defined Need for a paradigm shift is there Most of possible enabling technology ingredients are available Towards smarter wireless networks: Unified cross technology wireless network OS and APIs Fine-grained network-wide measurement and control End-to-end realtime network adaptation and optimization Network function virtualization (NFV) Complex network function/service as software apps Radio networking architecture depends on the deployment and scenario D-RAN vs C-RAN Heterogeneity: Marco, micro, pico, femto mw vs mmw Licenses vs unlicensed bands 24/10/2013 - - p 18

EURECOM MEMBERS 24/10/2013 - - p 19