Director de Producto Radio 3G Vodafone Technology Networks
Leading edge technology assessment of HSPA+ HSPA+ is a strategic area in the development of the high performance HSPA networks. This project gives the opportunity to be involved actively in the 1st worldwide field trials to characterise HSPA+ in liaison with strategic suppliers. Field trial assessment of the following technologies in terms of user throughput and latency enhancement: HSDPA 10.8Mbps, 64QAM, MIMO, Interference cancellation in HSDPA UE receiver (type 3i) Enhanced HSPA always on, Enhanced cell_fach Vodafone Eyes HSPA+ as a Key Technology to Head the Mobile Broadband Race (12 February 2008) Vodafone is to trial HSPA+, an evolution of today s radio access HSPA technology, to assess its potential to deliver even higher data rates through the upgrade of existing network equipment. Vodafone will work alongside Ericsson, Huawei and Qualcomm to trial Release 7 HSPA+ (also known as HSPA Evolution) which has the potential to handle data even more efficiently than today s HSPA technology. HSPA+ performance expectation Test cases development, field trial planning and execution, project management, tight collaboration with the corresponding supplier teams Duration : 6 9months User throug h p ut (M bp s ) 20 16 12 8 4 0 90%ile 50%ile 10%ile HSDPA 7.2 HSDPA 10.8 HSDPA 64QAM HSDPA MIMO Source: Vodafone assessment 2
Optimise the Throughput vs Latency Trade off Packet distribution over a Live 3G network shows a large portion of small packets (sensitive to Latency) while most of the actual traffic is carried out by bigger transmissions (sensitive to Throughput). This requires a good trade off between latency and throughput performance across the different algorithms. Aim/Objectives Look into existing HSPA algorithms and new upcoming enhancements to optimise the trade off between Latency and Throughput : User fairness impact in Throughput and Latency Optimum BLER Re transmission settings in HSDPA / HSUPA scheduling according to radio conditions and service and/or user profiling QoS Optimum packet queues in Iub flow control over IP Ethernet/DSL links Data shown represents Volume of Application Data Traffic as collected from IU interface in VF ES NW June08 for HSPA connections User Fairness vs Throughput performance In depth analysis of advanced HSDPA/HSUPA scheduling algorithms, execution of live trials to assess different performance options, identification of algorithm improvements, guidelines and recommendations. Duration: 9 months Cat.12 Cat.8 3
Assessment of VoIP Capability in 3G HSPA Networks Voice over HSPA has the potential to increase the voice capacity with respect to traditional 3G voice. Voice over HSPA could be provided in two different ways: CS Voice over HSPA, PSVoiceoverHSPA(VoIP) Detailed definition of functional spec for full Voice over HSPA solution and assessment of architectural impacts. Verification of technical benefits of the two Voice over HSPA options (CS and PS) vs the traditional voice over 3G (AMR 12.2Kbps) in terms of network capacity and service quality (call setup, latency, mobility, MOS, etc) VoIP requirements, theoretical overview, analysis of recent state of the art vendor studies, trial verification over Live network, recommendations/guidelines. Duration : 9 months 4
Dynamic RNC Simulator Typically RNC capacity planning is following a traffic model that consists of traffic related KPIs. Such approach has certain limitations e.g. traffic model does not always reflect behaviour in the Live network, RNC product capabilities are not considered (e.g. load sharing, pooling, etc) Develop an advanced dynamic RNC simulator considering apart from capacity, user/control plane, RNC capabilities. Define a traffic model that reflects real traffic behaviour in the main VF markets characterised by a number of KPIs (BHCA, call duration, subscribers, data rates, etc) for each one of the following types (voice, data, signalling). Using the traffic model as input to the simulator assess the RNC behaviour for each KPIs (capacity, signalling, processor load). Final output is a mapping of different RNC configurations to each traffic model. RNC simulator development, Traffic model analysis, RNC capacity models in different vendors, different cost models analysis, recommendations/guidelines Duration : 6 9months Mobile Voice Nw minutes (000000) 80.000 70.000 60.000 50.000 40.000 30.000 20.000 10.000 - EMAPA Vodafone Market Voice Nw minutes Mobile Customers 1Q 2Q 3Q 4Q 1Q 2Q 3Q 4Q 1Q 2Q 3Q 4Q 05 05 05 05 06 06 06 06 07 07 07 07 120.000 100.000 80.000 60.000 40.000 20.000 Source: http://www.vodafone.com/etc/medialib/attachme nts/interim_statement.par.61047.file.dat/vodafo ne_kpis_december_2007_web.xls 0 Mobile Customers (000) 5
Security on 2G networks Real 2G networks are already offering several techniques and ciphering algorithms against eavesdropping. However those will likely not be enough to avoid a remarkable challenge from the media, the regulators, analysts and sensitive customers. Assessment about current and future security threads and challenges which are to be faced. Make an analysis on security level offered by current deployed and being developed techniques. Develop recommendations on the strategy to follow in terms of technology to face these challenges. Define countermeasures against threads. Make related business cases to assess the economical feasibility of each of the way forwards. Eventually, make simulations, test and trials of developed countermeasures on top of current algorithms, new security techniques, etc. Analysis of security level offered by different techniques against challenges and threads, raise recommendations on the strategy to follow, perform simulations, tests, etc. Duration : 6 9 months GSM message 184 bit 23*8 =184bit 114 114 114 114 40 bit fire code 4 bit tail 5. ciphering 228 bit 1. codec 2. convolution 184 44 B0 B2 B1 B3 3. interleaving 4. divide 456 bit 368 88 456 6
Capacity management options in 3G Networks Many 3G networks in Europe are currently enabling 2 nd 3G carrier to cope with the 3G Mobile Broadband explosion and traffic migration from 2G 3G. Assuming the trend continues, certain hotspots or corporate sites are expected to reach saturation of the 2 carrier cells from 2009/10 onwards. Aim/Objectives Characterise real 3G carrier capacity limits for a different service mix over live 3G network. Technical assessment of key capacity management options including cost vs benefit : 3rd carrier upgrade Micro/pico cell deployment and Hierarchical layers management. AMR half rate (benefit to be verified in the field) C3 C2 C1 # 2 micro, micro layer, WA-DAS or premium indoor Test verification of real capacity limits over live 3G network. Field testing to assess viability of AMR half rate capacity option Cost/benefit analysis of 3G carrier upgrade vs alternative capacity management options (e.g. AMR half rate, micro cells) Deployment Guideline 3.5 3 2 1 Capacity +100% +100% >100% Duration : 9 months 1st Carrier Macro 1st Carrier Macro 2nd Carrier Macro 1st Carrier Macro 2nd Carrier Macro 3rd Carrier Macro 1st Carrier Macro 2nd Carrier Macro 3rd Carrier Micro 7
Spectrum Efficiency on 2G networks Recently, the GSM network is seeing its greatest expansion due to the increased demand for mobile voice services in emerging markets. Furthermore, most of these emerging markets have densely populated cities and limited radio spectrum. Spectrum efficiency techniques would help operators in these countries to alleviate the strain on their networks. Assessment on current developed techniques to improve spectrum efficiency and proposals of new ones. Study about effectiveness of combination of different techniques. Simulations and tests to evaluate the performance of these techniques in the network and the appropriateness for different scenarios. Estimate the system impact of different analyzed techniques and develop related business cases to assess the economical feasibility. Eventually, liaise with vendors to socialize studied techniques. Assessment on spectrum efficiency techniques, simulations and tests to evaluate their performance, feasibility study development, etc. Duration : 6 9 months 8