I need (1200 words) Report on Flexible spectrum usage

1200 words REPORT

 Planning Report Template

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                            Attached file 1.

  NHP2400 Project Planning Report Template 

Student Name: Student No.   

Supervisor Name: Student Email   

Project Title: Project ID   

 
Project Aim   

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.

Project Background

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 scenarios 

Project Objectives   

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

Project Deliverables: 

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.

Workpackage/Task list : 

WP1 - <Doing Research background about licence shared access><Insert workpackage description here> 

The main aim of this stage is to study the idea licence shared access, Focusing on licence shared access 

algorithms and schemes that facilitate cooperative communication between entities belonging to a LSA network. Different resources such as published paper, books will be used to achieve this purpose

 
WP2 - < investigate a cost-efficient allocation of spectrum and antennas for the small cell/C-RAN scenario 

In the small cell/cloud RAN scenario, the ZF distributed MIMO technique will be investigated as precoding technique. It is related to the trade-off between the spectrum and the antennas associated with centralized resource allocation

WP3 – investigate statistically coordinated precoding with distributed CSIT for the macro-cell scenario 

In this section, we will focus on a MISO LSA system in the downlink, which consists of an incumbent MNO along with a licensee MNO. The two systems coexist and transmit simultaneously, thus, a SS task is not performed at the licensee side. Since a major objective of LSA systems is to guarantee QoS for all involved entities, the goal of a joint transmission design is the maximization of the average information rate of the licensee system, subject to the fact that the average rate of the incumbent lies above a given threshold (which depends on the service requirements of the incumbent terminal) 

WP4 – MATLAB implementation and performance evaluation 

Using MATLAB software we will implement a macro-cell MISO LSA system. The system model will compress of a multiple antenna incumbent transmitter, TX 1, which consists of M antennas, along with its single antenna assigned receiver, RX1. The system will able to generate the proper results which will be later on in performance evaluation. 

WP5 – Writing Final report  

This part will summarise what we have done in the project including projects aim and objectives, research background, system modelling and performance evaluation. After that, the final report of the project will be submitted. 

 
Project Milestones: 

M1 – Project plan submission.<Insert milestone description here> 

M2 – Research Background completion.

M3 - investigate a cost-efficient allocation of spectrum and antennas for the small cell/C-RAN scenario completion.

M2 - investigate statistically coordinated precoding with distributed CSIT for the macro-cell scenario completion.

M2 - MATLAB implementation and performance evaluation completion.

M2 - Project poste submission.

M7 – Project report submission.

Technical Risk Analysis (100 words) – Identify any technically risky work packages/tasks i.e. those whose outcomes that may be uncertain. Assess the criticality of those work packages and describe possible approaches to mitigation. 

Workpackage / Task Risk Criticality Mitigation 

<WP xxx> <High/Med> <High/Med/Low> <Describe mitigation>

Project Resources (50 words) – 

1. LABTOP

2. MATLAB

3. Published papers/Books

 
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