Evolution of air interface towards 5G : radio access technology and performance analysis / Suvra Sekhar Das and Ramjee Prasad.

Format:

Book

Author/Creator:

Das, Suvra Sekhar, author.

Prasad, Ramjee, author.

Series:

River Publishers series in communications.

River Publishers Series in Communications

Language:

English

Subjects (All):

Wireless communication systems.

Mobile communication systems.

Physical Description:

1 online resource (298 pages).

Edition:

1st ed.

Place of Publication:

Gistrup, Denmark : River Publishers, [2018]

Summary:

Over the past few decades, wireless access networks have evolved extensively to support the tremendous growth of consumer traffic.

Contents:

Cover

Half Title

Series

Title Page

Copyright Page

Table of Contents

Preface

Acknowledgements

List of Figures

List of Tables

List of Abbreviations

List of Important Symbols

1: Introduction to 5G

1.1 Introduction

1.2 Development of LTE toward 5G

1.3 Technologies Drivers for 5G

2: Waveforms for Next-Generation Wireless Networks

2.1 Introduction

2.2 OFDM

2.2.1 Channel

2.2.2 Receiver

2.3 5G Numerology

2.3.1 Genesis

2.3.2 Implementation

2.4 Windowed OFDM

2.4.1 Transmitter

2.4.2 Receiver

2.5 Filtered OFDM

2.5.1 Transmitter

2.5.2 Receiver Processing

2.6 GFDM

2.6.1 Transmitter

2.6.2 Receiver

2.7 Precoded GFDM

2.7.1 Block IDFT Precoded GFDM

2.7.1.1 Joint processing

2.7.1.2 BIDFT-N precoding

2.7.1.3 Two-stage processing

2.7.1.4 BIDFT-N precoding

2.7.1.5 BIDFT-M precoding

2.7.2 DFT Precoded GFDM

2.7.3 SVD Precoded GFDM

2.8 FBMC

2.8.1 Cosine Modulated Tone

2.8.2 Filter Characteristics

2.8.3 Simplified Filter Characteristics

2.8.4 MMSE Equalizer for FBMC

2.9 UFMC

2.9.1 Structure of UFMC Transceiver

2.9.2 System Model for UFMC

2.9.3 Output of the Receiver for the UFMC Transceiver Block Diagram

2.10 Performance Comparison

3: Non-orthogonal Multiple Access

3.1 OFDM-based Non-orthogonal Multiple Access

3.1.1 Algorithms for User Multiplexing and Power Allocation

3.1.2 Performance Analysis

3.2 Coordinated OFDM - NOMA

3.2.1 System Model

3.2.2 Solution Methodology and Proposed Algorithms

3.3 User Selection and Optimal Power Allocation in NOMA

3.3.1 System Model

3.3.2 Performance Analysis

4: Millimeter-Wave Communication

4.1 Millimeter-Wave Channel Modeling

4.1.1 Radio and Propagation Channel Models

4.1.2 Large-Scale Channel Model

4.1.3 MIMO Spatial Channel Model.

4.2 Millimeter-Wave Communications

4.2.1 Challenges

4.2.2 State-of-the-Art Technology and Standards

4.2.3 Millimeter-Wave Applications for 5G

4.3 Rician K-Factor for Indoor mmWave Channels

4.3.1 Rician K-Factor Calculation for the Multicluster With Directivity Saleh-Valenzuela Model

4.3.2 Rician K-Factor Calculation for the Modified SV Modelfor mmW

4.3.3 Modified SV Model for mmW

4.3.4 IEEE 802.11ad Model

4.3.5 Variation of K-Factor With Respect to Link Orientations

4.3.6 Impact of Rician K-Factor on System BER

4.4 mmWave MIMO in Channels with Realistic Spatial Correlation

4.4.1 Analytical Modeling of the Composite PAS

4.4.2 Performance Analysis

4.4.3 Hybrid Beamforming

5: Heterogeneous Networks

5.1 Femtocell-/Small Cell-based Heterogeneous Networks

5.1.1 Femtocells/Small cells

5.1.2 Deployment Modes

5.1.3 Access Mechanisms

5.1.4 Issues Related to Femtocell/Small cell Deployment

5.1.5 Control Mechanisms for Femto Base Stations

5.1.6 Area Spectral Efficiency Analysis of Co-Channel Heterogeneous network

5.1.6.1 Spectral efficiency of a macrocell network

5.1.6.2 Spectral efficiency of a femtocell network

5.1.6.3 Area spectral efficiency

5.1.6.4 Optimal femtocell radio parameters

5.1.6.5 Results and discussion

5.1.6.6 ASE with QoS constraints

5.2 OFDMA-based Cellular Network and Underlaying D2Ds

5.2.1 D2D Deployment Modes

5.2.2 System Level Performance Evaluation

5.2.3 Stochastic Modeling and Analysis of D2D Enabled Heterogeneous Cellular Network

5.2.3.1 Distribution of eNBs

5.2.3.2 Distribution of UEs (D2D Tx and Rx) and femtos

5.2.4 Signal-to-interference Ratio with Activity

5.2.5 Sub-band Coverage Probability Under PPP

5.2.6 Coverage Probability Under ς GPP.

5.2.7 User Association under Cellular Tier Being ς GPP and D2D and Femto Being PPP Distributed

5.2.8 Fractional Load and Link Throughput

5.2.9 Results and Their Analysis

5.2.10 Coverage Probability Analysis

5.2.11 Throughput Analysis

6: Energy-efficient OFDMA Radio Access Networks

6.1 Multi-objective Optimization in for Energy Savings

6.2 System Model

6.2.1 SINR

6.2.2 Traffic

6.3 Network Coverage, Overlap, ASE, and APC

6.3.1 Network Coverage

6.3.2 Overlap Probability

6.3.3 Area Spectral Efficiency

6.3.4 Blocking Probability

6.3.5 Area Power Consumption

6.4 Multi-objective Optimization Framework

6.4.1 Genetic Algorithm-based Multi-objective Optimization

6.4.2 Set of Active Sectors

6.4.3 RAN Parameters

6.5 Results

7: QoS Provisioning in OFDMA Networks

7.1 System Model of the Dynamic Priority Scheduler

7.1.1 Modeling the Physical Layer (PHY) Layer

7.1.2 Modeling the Medium Access Control (MAC) Layer: DPScheduler

7.2 Queueing Analysis

7.2.1 Arrival Statistics

7.2.2 Queue Service Process: DP Scheduler

7.2.2.1 Scheduler dynamics

7.2.2.2 Packet departure process

7.2.3 Synthesis of the Markov Chain

7.3 Evaluation of Performance Metrics

7.3.1 Packet Drop Probability

7.3.2 Throughput

7.3.3 Average Delay

7.4 Results

7.4.1 Evaluation Framework

7.4.2 Verification of Performance Analysis

7.5 Call Admission Control Using the DP Scheduler Framework

7.5.1 Working of the CAC and Role of the Scheduler

7.5.1.1 Simulation setup

7.5.1.2 Results on CAC for the DP scheduler framework

7.6 Summary

References

Index

About the Authors.

Notes:

Description based on print version record.

ISBN:

1-000-79158-0

1-00-333815-1

1-003-33815-1

1-000-79470-9

87-93609-80-9

9781003338154

OCLC:

1049914181