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Posted By Admin @ Feb 24, 2022
Posted By Admin @ Feb 24, 2022
Tittle: NHP2400 Project Planning Report Template of MATLAB implementation and performance evaluation
Subject: Electrical Engineering
Student Name: Student No.
Supervisor Name: Student Email
Project Title: Project ID
Flexible spectrum usage is a promising enabler of spectral efficiency for next generation wireless broadband networks. In order to deliver the next order of magnitude gains in terms of overall spectral and radio efficiency envisioned for f the next wireless generation network .Recently, licensed shared access has been proposed as a new paradigm for dynamic spectrum access in upcoming 5G wireless communications networks. This project will study licensed shared access techniques and work on design and development of these techniques for 5G wireless communications networks.
Spectrum sharing is one of the promising solutions to meet the spectrum demand in 5G networks that results from the emerging services like machine to machine and vehicle to infrastructure communication. The idea is to allow a set of entities access the spectrum whenever and wherever it is unused by the licensed users. In the proposed framework, different spectrum provider (SP) networks with surplus spectrum available may rank the operators requiring the spectrum, called spectrum users (SUs) hereafter, differently in terms of their preference to lease spectrum, based for example on target business market considerations of the SUs. Similarly, SUs rank SPs depending on a number of criteria, for example based on coverage and availability in a service area. Ideally, both SPs and SUs prefer to provide/get spectrum to/from the operator of their first choice, but this is not necessarily always possible due to conflicting preferences.
Licensed Shared Access (LSA), which is described by the EU Radio Spectrum Policy Group (RSPG) as “An individual licensed regime of a limited number of licensees in a frequency band, already allocated to one or more incumbent users, for which the additional users are allowed to use the spectrum (or part of the spectrum) in accordance with sharing rules included in the rights of use of spectrum granted to the licensees, thereby allowing all the licensees to provide a certain level of QoS
The operation of Licensed Shared Access (LSA) systems has to be designed in a way that Quality of-Service (QoS), in the form of spectral, energy and cost efficiency is guaranteed for both incumbent and licensee systems, when they have access to the spectrum. However, in order to achieve a joint, requested QoS objective, cooperation needs to characterize the operation between licensee operators/devices, as well as the concurrent transmissions of incumbent and licensee systems. For instance, since spectrum and resources such as antennas are expensive and, at the same time, cost efficiency constitutes a crucial factor for the successful deployment of an LSA system, cooperative techniques have to be designed towards such directions
In this this projects , a number of algorithms and schemes that facilitate cooperative communication between entities belonging to a LSA network, is described, with reference to the investigated scenarios and use cases. First, focusing on the small-cell/cloud-Radio Access Network (C-RAN) scenario, the case where a number of users requires a wireless service from a Virtual Mobile Network Operator (VMNO), is studied. More specifically, we will study the Cost-efficient allocation of spectrum and antennas for the smallcell/C-RAN scenario
However, since the use of such resources is characterized by a cost, the VMNO has to select the appropriate number of antennas, along with an LSA bandwidth, such that the sum information rate per currency unit, is maximized. Motivated by the above situation, a cost efficiency metric is proposed, and then, based on that, as well as on the Zero-Forcing (ZF) distributed Multiple-Input-Multiple-Output (MIMO) precoding technique, we will evaluate the optimal solution, in terms of cost efficiency, in comparison to an arbitrary, uncoordinated strategy. It is interestingly shown that the optimal scheme achieves a gain in cost efficiency, for a number of system scenario
Obj 1: Study licence shared access techniques.
Obj 2: Investigate the cost-efficient allocation of spectrum and antennas for the small cell/C-RAN scenario.
Obj 3: investigate the statistically coordinated precoding with distributed CSIT for the macro-cell scenario
Obj 4: Build simulation model the investigated algorithms
Obj 5: Evaluate and analyse the proposed algorithms
D1 – Project Plan.
D2 - Research background.
D3 – Investigation about cost-efficient allocation of spectrum and antennas for the small cell/C-RAN scenario.
D4– Investigation about statistically coordinated precoding with distributed CSIT for the macro-cell scenario
D5 – Performance evaluation and analysis of the proposed technique.
D6 – Project poster.
D7 – Project report.