Analysis and evaluation of Performance Parameters and Tradeoffs for Fifth Generation (5G) Mobile Communication Systems / (Record no. 616106)

000 -LEADER
fixed length control field 04470nam a22001817a 4500
003 - CONTROL NUMBER IDENTIFIER
control field NUST
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260207113617.0
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.382,SID
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Siddiqui, Muhammad Haroon
9 (RLIN) 124475
245 ## - TITLE STATEMENT
Title Analysis and evaluation of Performance Parameters and Tradeoffs for Fifth Generation (5G) Mobile Communication Systems /
Statement of responsibility, etc. Muhammad Haroon Siddiqui
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Rawalpindi,
Name of publisher, distributor, etc. MCS (NUST),
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 98 p
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Fifth Generation (5G) is considered to be the future advancements in wireless tech­ nology. The ever increasing number of smart network devices may obsolete latest 4G technology for handling bandwidth allocation to a large number of smart devices. To meet with this challenging need, for rapid and efficient data transfer over such devices, requires next generation mobile technology. 5G technology is anticipated to offer ap­ propriate solutions to such issues. High data rates can be achieved by using 5G, how­ ever, to make such futuristic technology realistic, is a real challenge. This challenging goal can be achieved by efficient utilization of the bandwidth in allocated spectrum. In this context, Cognitive Radio (CR), is an intelligent radio which has inherent adaptive procedures. It reuses the frequency when primary user is absent and works on prin­ ciple of dynamic frequency allocation. CR is one of the key enabling technology for 50 networks which allows nodes to evaluate and manage underused licensed channels. It has brought benefits to a CR based 50 cellular networks which include ability to adapt dynamicity of a network, deals with the spectrum scarcity issue and operates in heterogeneous environment. It also provides intelligent solutions and self-governing capabilities to assist 50 key functions especially in smart bearnforming. Another promising enabling technology of 50 is massive multiple-input multiple­ output (MIMO). Due to its attributes such as increased spectral and energy efficiency, it is envisaged as a potential technology for fifth generation (50) wireless communica­ tion networks. As already mentioned that radio spectrum has become a scarce resource in wireless communications, hence imposes excessive cost on the high data rate trans­ mission. Several linear and non linear detection techniques such as Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), and Vertical Bell-Labs Layered Space Time (VBLAST) have been introduced. The purpose of such schemes is to mitigate the sig­ nal detection problems which are based on trade-offs between the bit error rate (BER) performance and computational complexities. The challenge in the design of massive­ MIMO systems is developing less complex and efficient detection algorithms. The problem in building a receiver for rnassive-MIMO is to de-correlate the spatial signa­ tures on the receiver antenna array. In this thesis, firstly, 50 technology, its challenges and proposed solutions are pre­ sented. Secondly, CR based 50 technology is investigated with the view to explore both technologies jointly and to present a comprehensive overview which will invig­ orate new research initiatives in this exciting field. Thirdly, a novel algorithm viz: Hybrid n-Bit Heuristic Assisted-VBLAST (HHAV) to perform an optimum decoding for rnassive-MIMO, is proposed. This structure is simulated in dynamic Rayleigh fad­ ing channel. One of the latest decoding algorithm viz: approximate message passing iii (AMP) is also evaluated with two threshold functions which include AMP with ternary distribution (AMPT) and AMP with Gaussian distribution (AMPG). Numerical results confirm that proposed HHAV algorithm performs significantly well as compared to the performances of aforementioned detection systems introduced in recent years. Finally, a novel 6G intelligent lOT paradigm is presented to optimize communication channels and process big data intelligently. The enabling technologies and AI based 6G air inter­ face architecture, based on our proposed paradigm are also discussed. The results are evaluated through simulation by comparing our proposed paradigm with 5G-lOT and 5G intelligent lOT. In relation to our proposed concept, simulation results confirm that the performance in terms of effective utilization of channels is significantly improved.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PhD Electrical Engineering Thesis
9 (RLIN) 133107
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name PhD EE Thesis
9 (RLIN) 133108
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Supervised by Dr. Imran Rashid
9 (RLIN) 132473
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note
          Military College of Signals (MCS) Military College of Signals (MCS) Thesis 02/07/2026   621.382,SID MCSPhD EE-12 02/07/2026 02/07/2026 Thesis Almirah No.68, Shelf No.6
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