UK-China Science Bridges: R&D on 4G Wireless Mobile Communications
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Led by Prof. Hamid Aghvami
Presented by Dr. Xiaoli Chu
UK-China Science Bridges: R&D on 4G Wireless Mobile Communications
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Introduction
Research Areas
Statistics Research Projects
Future Work
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• King’s College London was founded in 1829 and is the fourth oldest university institution in England.
• King’s is based in the heart of London with over 21,000 studentsfrom nearly 140 countries, and more than 5,700 employees.
• King’s has played a major role in many of the advances that have shaped modern life, e.g., discovery of the structure of DNA.
UK-China Science Bridges: R&D on 4G Wireless Mobile Communications
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Communications Research Group
1980’sCentre for Telecommunications Research
1990’s
• Satellite Communications
• Physical Layer (Modulation, Coding)
• Purely Academic Research
• Emphasis on 3G and beyond, and WLANs/ WMANs/WPANs
• Research at all layers (Network, Physical, etc)
• Strong links with Industry
CTR History
UK-China Science Bridges: R&D on 4G Wireless Mobile Communications
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Research Teams at the CTR
• Radio Access Team
• Network Team
• Reconfigurability and Cognitive Radio Team
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• Optimal admission control
• Packet scheduling for B3G systems
• MAC protocols
• Sensor networking
• PHY/MAC for WLANs/WMANs/WPANs
• UMTS, HSxPA, LTE, WiMAX
• Relaying
• Energy-efficient, green radio
• Space-time block codes (MIMO-OFDM), dirty paper coding
• Broadcast strategies in multi-user MIMO-OFDM
• Location tracking
• Hierarchical cellular structures
• Cross-layer optimisation of the link layer
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• Mobility management protocols; Network mobility (NEMO)
• Ad-hoc protocols and networks; mobile ad-hoc networks
• QoS for IP-based wireless networks; QoS routing
• Inter-working of networks (e.g., Broadcast, WLANs/WMANs, cellular,…)
• Vertical handovers
• Wireless mesh networking
• Convergence of WLAN and mobile networks
• Load balancing in IP radio networks
• Cross-layer optimisation (network/transport layers with lower layers)
• Peer-to-peer communications over wireless networks
• Active queue management, wireless fair queuing in IP mobile networks
• Transport layer protocols; fairness among competing transport protocols
• Multimedia over wireless
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• Cognitive radio and networking
• Spectrum sharing and trading; secondary spectrum access; hierarchical spectrum management techniques
• End-to-end multi-terminal reconfiguration in heterogeneous systems
• Transport-layer protocols for reconfiguration software downloads over wireless networks; intelligent mode switching
• Novel resource allocation techniques for secondary spectrum access and cognitive radio
- OFDM(A)
- MC-CDMA
• IEEE SCC41 standardisation and protocols
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• 30+ researchers
- Academics + research staff + PhD students
• Funding: more than £3M over the past 3 years
• Published ~300 papers in quality journals and conferences in the past 5 years.
• The average number of citations per paper is around 3.5.
• 30 patents in the past 5 years
• 33 PhD awards in the past 5 years (100% pass rate)
• Strong collaborative links: (in the past 5 years)
- 40+ publications co-authored with other academic institutions
- 30+ publications co-authored with industrial partners
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National Programmes
• Mobile VCE Core 4: Ubiquitous Services
• Mobile VCE Core 4: Delivery Efficiency
• Mobile VCE Core 5: Green Radio
International Programmes
• AROMA (Advanced Resource Management Solutions for Future All-IP Heterogeneous Mobile Radio Environments)
• IEEE Standardisation Projects (P1900/SCC41)
• OPTIMOBILE (Cross-layer Optimization for the Coexistence of Mobile and Wireless Networks Beyond 3G) – Marie Curie Fellowship
• Self-NET (Self-Management of Cognitive Future InterNET Elements)
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• To maximise b/s/Hz in mobile/wireless communications
• Three Work Packages:
- E1: Optimum Combination of Air-Interface Techniques
� Develop appropriate combination of air-interface techniques/algorithms for heterogeneous mobile environments
- E2: Spectrum Sharing and Enabling via Cognitive Radio
� Determine/demonstrate practically achievable gains through spectrum sharing techniques
- E3: Joint Link and System Optimisation
� Investigate network topologies and architectures for system optimisation, including cross-layer mechanisms
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• An European Commission FP7 STREP, addressing the Strategic Objective ICT-2007.1.6 "New paradigms and experimental facilities" from Challenge 1 "Pervasive and Trusted Network and Service Infrastructures“- A novel hierarchical cognitive cycle approach for the self-
management of interworking network compartments and individual network elements
- Design and specification of future Internet elements around the cognitive cycle; study of implications introduced by autonomic aspects
• Consortium: University of Athens, Thales, OTE, Fraunhofer FOKUS, Vodafone, King’s College London,and Telecom Austria
Self-Management of Cognitive Future InterNET Element s
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Scenarios� Multimedia on Demand
- Users are asking for specific contents and are batched to the appropriate network according to availability, cost and capacityconstraints.
� Load Balancing- Traffic load increases as users are using specific services. - Service configuration and traffic distribution algorithm is triggered. - The optimisation results in re-distribution of users to different
networks.
� Always Best Connected- A user is downloading a file. - As the user moves between various wireless network domains,
the terminal is auto configured to receive the file.
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� Self-configuring and self-adaptive mechanisms for connectivity management of virtual device components - Self-configuration of network layer and device specific parameters - A re-configurable network stack for memory and energy sensitive devices- A framework for seamless swapping of modules/devices in Linux OS- A network management framework for self-configuring and self-healing- Device management constraints like ACL, policies, security
� Discovery and selection of- Virtual devices/components- Services/resources- Service discovery gateway
� Construction and distribution of metadata related to virtual devicesor resources
� Centralized/de-centralized caching of metadata related to virtual devices/resources
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� Mobile VCE Core 5 Programme- 1 PDRA and 4 PhD students of CTR are working on WPs: GR1.2
(energy-efficient architectures), GR1.3 (multihop), GR1.4 (frequency management), GR2.3 (DSP), and GR2.5 (power reduction techniques).
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� Design network architectures for low overall energy use- Cell size- Backhaul method- Femtocell technologies- Multihop and mesh network architectures, delay-tolerant networking
� Develop techniques to reduce power consumption of wireless communications- Power-efficient radio resource management and signal processing- Interference control- Power-efficient hardware implementation
� Use of mobility pattern information (UE location, speed and direction) and multimedia traffic characteristics (traffic classification)
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� Maximize system flexibility in uplink and downlink resource allocation- Extend opportunistic scheduling to time, frequency and space
dimensions, considering user QoS requirements and interference control.
� Support advanced and distributed interference mitigation schemes- Enable the network to detect changes, make intelligent
decisions, and dynamically configure itself in a distributed fashion.
� Assess signalling requirements of different radio resource management schemes
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� Advantages of device-to-device communications: offloading cellular systems, reducing battery consumption, increasing bit rate, robustness to infrastructure failures, etc.
� Design efficient device-to-device communications, with minimal interference to cellular overlay networks.
� Network information theory - To combat fading and interference in wireless communications- Design the system from an overall network capacity perspective
� Network coding for multihop communications relayed by fixed or mobile entities (e.g., infrastructure cooperative relaying, device-to-device communications, and cooperation)- To increase throughput through path diversity, energy efficiency, and
simplicity of implementation- Practical solutions design - Performance impact evaluation
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� Advanced multiple-antenna systems- CSI feedback (FDD) - MU-MIMO resource allocation and scheduling, combined with
modulation/coding schemes and user-specific QoS constraints
� Coordinated multipoint systems – geographically distributed antenna modules coordinate (e.g., through dedicated links) to improve performance of served users in the coordination area- Radio-over-fibre – distributed antenna modules are connected to a
central station by fibre links - Coordinated multi-cell transmission – BSs with coordination criteria
managing their overall operation: require a new hierarchical central unit and an extensive revision of related interfaces
- Trade-off between performance and added system complexity
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� Spatial antenna techniques- Network MIMO – transmission of multiple spatial paths to (from) a
mobile from (to) multiple BSs - On the DL, multiple BSs can transmit one or more MIMO paths to a
mobile.- On the UL, the transmission by a mobile can be received by one or
more BSs.- UL network MIMO can be combined with MU-MIMO and
interference cancelation, to allow mobiles in adjacent cells to be assigned the same RBs.
� One major challenge with network MIMO is the latency for exchange of information between BSs.- Minimum X2 latency in LTE Release 8 is 20 msec, while RBs are
assigned on a 1 msec subframe basis.
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� Fractional power control - Control the UL power to compensate for a fraction of path loss- Trade-off between aggregate sector throughput gain and cell-edge user
throughput loss in large macrocells- Optimize the power transmitted to and from a mobile, from a network
inter-BS or macro diversity perspective� Intra- and inter-BS interference cancellation
- Opportunistic and organized inter-BS access: spectral, temporal or spatial reuse of scheduled RBs between BSs
� Opportunistic spectrum access - for spectral reuse within a single macro network - for hierarchal overlay systems such as femto overlays on a macro
network � Adaptive fractional frequency reuse based on interference levels
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