70 research outputs found
D4.3 Final Report on Network-Level Solutions
Research activities in METIS reported in this document focus on proposing solutions
to the network-level challenges of future wireless communication networks. Thereby, a large variety of scenarios is considered and a set of technical concepts is proposed to serve the needs envisioned for the 2020 and beyond.
This document provides the final findings on several network-level aspects and groups of
solutions that are considered essential for designing future 5G solutions. Specifically, it
elaborates on:
-Interference management and resource allocation schemes
-Mobility management and robustness enhancements
-Context aware approaches
-D2D and V2X mechanisms
-Technology components focused on clustering
-Dynamic reconfiguration enablers
These novel network-level technology concepts are evaluated against requirements defined
by METIS for future 5G systems. Moreover, functional enablers which can support the
solutions mentioned aboveare proposed.
We find that the network level solutions and technology components developed during the course of METIS complement the lower layer technology components and thereby effectively contribute to meeting 5G requirements and targets.Aydin, O.; Valentin, S.; Ren, Z.; Botsov, M.; Lakshmana, TR.; Sui, Y.; Sun, W.... (2015). D4.3 Final Report on Network-Level Solutions. http://hdl.handle.net/10251/7675
D4.2 Final report on trade-off investigations
Research activities in METIS WP4 include several as
pects related to the network-level of
future wireless communication networks. Thereby, a
large variety of scenarios is considered
and solutions are proposed to serve the needs envis
ioned for the year 2020 and beyond.
This document provides vital findings about several trade-offs that need to be leveraged when
designing future network-level solutions. In more detail, it elaborates on the following trade-
offs:
• Complexity vs. Performance improvement
• Centralized vs. Decentralized
• Long time-scale vs. Short time-scale
• Information Interflow vs. Throughput/Mobility enha
ncement
• Energy Efficiency vs. Network Coverage and Capacity
Outlining the advantages and disadvantages in each trade-off, this document serves as a
guideline for the application of different network-level solutions in different situations and
therefore greatly assists in the design of future communication network architectures.Aydin, O.; Ren, Z.; Bostov, M.; Lakshmana, TR.; Sui, Y.; Svensson, T.; Sun, W.... (2014). D4.2 Final report on trade-off investigations. http://hdl.handle.net/10251/7676
Resource allocation in non-orthogonal multiple access technologies for 5G networks and beyond.
Doctoral Degree. University of KwaZulu-Natal, Durban.The increasing demand of mobile and device connectivity poses challenging requirements for 5G wireless communications, such as high energy- and spectral-efficiency and low latency. This necessitates a shift from orthogonal multiple access (OMA) to Non-Orthogonal Multiple Access
(NOMA) techniques, namely, power-domain NOMA (PD-NOMA) and code-domain NOMA (CD-NOMA). The basic idea behind NOMA schemes is to co-multiplex different users on the same resource elements (time slot, OFDMA sub-carrier, or spreading code) via power domain (PD) or code domain (CD) at the transmitter while permitting controllable interference, and their successful multi-user detection (MUD) at the receiver albeit, increased computational complexity. In this work, an analysis on the performance of the existing NOMA schemes is carried out.
Furthermore, we investigate the feasibility of a proposed uplink hybrid-NOMA scheme namely power domain sparse code multiple access (PD-SCMA) that integrates PD-NOMA and CD-NOMA based sparse code multiple access (SCMA) on heterogeneous networks (HetNets). Such hybrid schemes come with resource allocation (RA) challenges namely; codebook allocation, user pairing and power allocation. Therefore, hybrid RA schemes namely: Successive Codebook Ordering Assignment (SCOA) for codebook assignment (CA), opportunistic macro cell user equipment (MUE)- small cell user equipment (SUE) pairing (OMSP) for user pairing (UP), and a QoS-aware power allocation (QAPA) for power allocation (PA) are developed for an energy efficient (EE) system. The performance of the RA schemes is analyzed alongside an analytical RA optimization algorithm. Through numerical results, the proposed schemes show significant improvements in the EE of the small cells in comparison with the prevalent schemes. Additionally, there is significant sum
rate performance improvement over the conventional SCMA and PD-NOMA.
Secondly, we investigate the multiplexing capacity of the hybrid PD-SCMA scheme in HetNets.
Particularly, we investigate and derive closed-form solutions for codebook capacity, MUE multiplexing and power capacity bounds. The system’s performance results into low outage when the system’s point of operation is within the multiplexing bounds. To alleviate the RA challenges of such a system at the transmitter, dual parameter ranking (DPR) and alternate search method (ASM) based RA schemes are proposed. The results show significant capacity gain with DPR-RA in comparison with conventional RA schemes.
Lastly, we investigate the feasibility of integrating the hybrid PD-SCMA with multiple-input multipleoutput (MIMO) technique namely, M-PD-SCMA. The attention to M-PD-SCMA resides in the need of lower number of antennas while preserving the system capacity thanks to the overload in PDSCMA. To enhance spectral efficiency and error performance we propose spatial multiplexing at the transmitter and a low complex joint MUD scheme based on successive interference cancellation (SIC) and expectation propagation algorithm (EPA) at the receiver are proposed. Numerical results exhibit performance benchmark with PD-SCMA schemes and the proposed receiver achieves guaranteed bit error rate (BER) performance with a bounded increase in the number of transmit and receive antennas. Thus, the feasibility of an M-PD-SCMA system is validated
D6.3 Intermediate system evaluation results
The overall purpose of METIS is to develop a 5G system concept that fulfil s the requirements of the beyond-2020 connected information society and to extend today’s wireless communication systems for new usage cases. First, in this deliverable an updated view on the
overall METIS 5G system concept is presented.
Thereafter, simulation results for the most promising technology components supporting the METIS 5G system concept are reported.
Finally, s
imulation results are presented for
one
relevant
aspect of each Horizontal Topic:
Direct Device
-
to
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Device Communication, Massive Machine Communication, Moving Networks,
Ultra
-
Dense Networks, and Ultra
-
Reliable Communication.Popovski, P.; Mange, G.; Fertl, P.; Gozálvez - Serrano, D.; Droste, H.; Bayer, N.; Roos, A.... (2014). D6.3 Intermediate system evaluation results. http://hdl.handle.net/10251/7676
D6.6 Final report on the METIS 5G system concept and technology roadmap
This deliverable presents the METIS 5G system concept which was developed to fulfil the
requirements of the beyond-2020 connected information society and to extend today’s
wireless communication systems to include new usage scenarios.
The METIS 5G system concept consists of three generic 5G services and four main enablers.
The three generic 5G services are Extreme Mobile BroadBand (xMBB), Massive Machine-
Type Communications (mMTC), and Ultra-reliable Machine-Type Communication (uMTC).
The four main enablers are Lean System Control Plane (LSCP), Dynamic RAN, Localized
Contents and Traffic Flows, and Spectrum Toolbox.
An overview of the METIS 5G architecture is given, as well as spectrum requirements and
considerations.
System-level evaluation of the METIS 5G system concept has been conducted, and we conclude that the METIS technical objectives are met.
A technology roadmap outlining further 5G development, including a timeline and recommended future work is given.Popovski, P.; Mange, G.; Gozalvez -Serrano, D.; Rosowski, T.; Zimmermann, G.; Agyapong, P.; Fallgren, M.... (2014). D6.6 Final report on the METIS 5G system concept and technology roadmap. http://hdl.handle.net/10251/7676
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