Led by Prof. Hamid Aghvami Presented by Dr. Xiaoli Chu · • UMTS, HSxPA, LTE, ... • An European...

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


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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.


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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


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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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Led by Prof. Hamid Aghvami Presented by Dr. Xiaoli Chu · • UMTS, HSxPA, LTE, ... • An European...

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