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Resource allocation for relay assisted transmission in millimetre wave wireless systems

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thesis
posted on 28.03.2022, 01:49 by Md Shirajul Islam Sagar
Conventional microwave bands below a frequency of 10 GHz are on the verge of saturation point. Thus, the global bandwidth shortage facing wireless carriers has motivated the exploration of the underutilized millimeter wave (mmWave) frequency spectrum for future broadband cellular communication networks. The mmWave frequency spectrum brings the possibility of developing the science for gigabit wireless networks. However, mmWave communication suffers from significant attenuation and shortage of multipath in NLOS transmissions and so mmWave wireless systems need to rely on LOS-propagation to achieve high data rates. In NLOS environments, relay techniques can compensate for severe path loss to improve the system throughput. This thesis investigates the use of directional antennas both at the transmitter and receiver and relays to compensate for severe path loss in NLOS environments. This thesis derives closed-form equations for the optimal allocation of antennas for beamforming to maximize capacity between a given source and destination in order to achieve high energy effciency.The use of Lagrange Multipliers is also introduced to study the optimal transmit power at the source along with the optimal number of transmit antennas to obtain maximum capacity between a source-destination pair.

History

Table of Contents

1. Introduction and motivation -- 2. Background and related work -- 3. System model, methodology and techniques -- 4. Optimal antenna and power allocation -- 5. Conclusion and future work -- 6. Abbreviations -- A Matlab coding -- References.

Notes

Empirical thesis. Bibliography: pages 83-89

Awarding Institution

Macquarie University

Degree Type

Thesis MRes

Degree

MRes, Macquarie University, Faculty of Science and Engineering, Department of Engineering

Department, Centre or School

Department of Engineering

Year of Award

2016

Principal Supervisor

Rein Vesilo

Rights

Copyright Md Shirajul Islam Sagar 2016. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (xv, 89 pages) diagrams, graphs

Former Identifiers

mq:69077 http://hdl.handle.net/1959.14/1250482