Latest Trending MIMO Thesis Topics

MIMO means Multiple Input, and Multiple Output. And, it is defined as the modern technology which supports multiple antennas at both receiver and transmitter sides to enhance the capacity and data rate of the wireless system. In other words, it termed as the trend-setter of future wireless communication technology.

This article prescribes you about latest MIMO Thesis topics, research issues, challenges, limitations, technologies, etc.

As a matter of fact, the current MIMO deployment uses only minimum number of antennas and frequency for simulation purposes. Since, MIMO has high demand in the radio-based communication systems over past few years. For instance: the imprints of MIMO are largely recognized in current modern communication technologies such as Wi-Fi, Wi0Max, LTE, 3G, 4G, 5G, etc.

Research Gaps in MIMO Thesis

What is the purpose of MIMO?

Actually, MIMO plays a significant role in fulfilling the current demand of bandwidth in multimedia wireless transmission. Consequently, MIMO has become the problem-solving solution for urban infrastructure where the attainment of the abundance RF / microwave systems is challenging due to undesired interference problems.

With an intention to provide sophisticated environment, various MIMO radio manufactures have introduced different types of MIMO systems. These systems have unique characteristics and benefits to support developers in various aspects.  The current MIMO technologies are applicable for both large and small-scale organizations with an assurance of high-performance and compatibility.

For instance: Mesh and Ad-hoc abilities of radio systems allow fast reactions and dynamic deployment in the case of varying network state. 

Furthermore, we have also given you the different categorizes of MIMO techniques. Generally, every technique has specific purpose to implement. So, one should choose the techniques accordingly. Our experienced developers are smart to handpick appropriate techniques or algorithms based on certain requirements to implement MIMO Thesis. Here, categorizes present you the CSI feedback collection, data reception and data communication.

Classification of MIMO techniques

  • No CSI mandatory
    • USTM
    • Differential STC
  • Rx
    • Treillis and Block based
  • Tx and Rx
    • Pre-Equalization
    • Water-Filling
    • Eigen beamforming

Techniques used for MIMO

Here, we have given you the different MIMO techniques for key communication technologies.

  • Open-loop Spatial Multiplexing
    • LTE – Multi-codewords along with large latency CDD
    • IEEE 802.16m – Single codeword along with pre-coder cycling
    • LTE –A – Extended from LTE
  • Open-loop Transmit Diversity
    • LTE – SFBC with FSTD and SFBC
    • IEEE 802.16m – SFBC with precoder cycling
    • LTE –A –Extended from LTE
  • Multi-User MIMO
    • LTE – Closed Loop MU-MIMO
    • IEEE 802.16m – Open and Closed Loop MU-MIMO
    • LTE –A – Closed Loop MU-MIMO (developing)
  • Closed-loop Spatial Multiplexing
    • LTE – Codebook-assisted precoding. UE-specific RS based beamforming
    • IEEE 802.16m – Advanced beamforming with precoding
    • LTE –A – Advanced beamforming and precoding (developing)

We hope that you are clear with MIMO importance, necessity and key techniques. Now, we can see about the some vital aspects of MMO that encourage the research scholar to choose MIMO research areas.  Here, we have pointed out the recent developments in MIMO-based wireless communication models along with current MIMO demands among research group. Further, we are also ready to share other inspiring research perception of MIMO on your interest.

Motivations of MIMO

  • Wireless System Physical Constraints
    • Constrained battery lifespan and spectrum resources
    • Gain of Performance and Spectral efficiency
      • Antenna Array gains
      • Spatial Diversity gains
    • Multiple path fading
  • Recent Wireless Communication Models
    • Bluetooth, WLAN, Mobile LEO Satellite Systems, Cellular Smartphones, etc.
  • Extensive MIMO demands
    • 4G communication
    • Maximum reliability in transmission (more than wirelines)
    • Maximum data rate nearly above 100Mbps (802.11n)

Next, we can see about the restriction of MIMO technology in real-time execution. Since, all these are common constraints that need to be focused on any kind of MIMO related application development. On knowing the importance, we have already collected several new MIMO thesis topics that sure to overcome all these constraints through advanced techniques. We support you not only these limitations but also on other complicated limitations.

Limitations of MIMO

  • Utilization of MIMO Capacity
    • Insufficient generic mechanisms
    • Avoid using complicated algorithm in real-time development
    • Complex algorithm not well suited for practical implementation
  • MIMO Interference
    • Co Antenna Interference (CAI)
  • Correlated Spatial Multiplexing
    • Need Sophisticated Distributed Environ
    • Locate Antennas in Distributed Space

Different Terminologies in MIMO

Multi-Antenna Types

Generally, 802.11n protocols are commonly engaged in development of SU / MU MIMO technology which use multiple antennas. Here, we can see the different types of multi-antenna MIMO technology.

SISO / MISO / SIMO are distinctive MIMO types   

  • SISO – Single-input single-output
    • Traditional radio system method
    • Utilized in the case of multiple antennas at neither transmitter nor receiver
    • MISO – Multiple-input single-output
      • Utilized in the case of single antenna at receiver side
    • SIMO – Single-input multiple-output
      • Utilized in the case of single antenna at transmitter side

Furthermore, we have also included few technical constraints and SU-MIMO approaches.

  • Constraints
    • Constrained spacing in antenna separation at receiver side
    • Select spacing in physical antenna (multi-wavelengths and large in BS)
  • SU-MIMO Approaches
    • Per Antenna Rate Control (PARC)
    • Selective Per Antenna Rate Control (SPARC)
    • Bell Laboratories Layered Space-Time (BLAST)

In the current research of MU-MIMO, we have found that even full MU-MIMO has greater abilities, partial MU-MIMO is highly undergoing research and development which is very active. Similar to multi-antenna, here we have given you different types of multi-user MIMO technology

Multi-User Types

  • Cooperative MIMO (CO-MIMO)
    • Utilize more nearby base stations for data transmission
    • No intercell interference from nearby base stations
  • Multi User-MIMO (MU-MIMO)
    • Enable to use in WiMax and 3GPP protocols
    • Use minimum antennas for low complex smartphones (reception)
    • SU-MIMO throughput is better than complex devices which use maximum antennas
    • Improved MU-MIMO use advance precoding and decoding schemes
    • SDMA utilized non-orthogonal (superposition) methods instead of orthogonal (time / frequency) methods
      • Super-Division Multiple Access
      • Space-Division Multiple Access
  • Massive MIMO (M-MIMO)
    • Suited for low number of end-devices (than antennas of base stations)
    • Largely employed in distributed environment
    • Benefits of employing beamforming is given below,
      • Zero forcing (ZF)
      • Maximum Ratio Transmission (MRT)
      • Maximum Ratio-Combining (MRC)
  • Macrodiversity MIMO
    • Space diversity approach establish interaction between multiple BS with user(s) who have identical frequency and time resources
    • In SU microdiversity MIMO scenarios have distanced transmitters but in MU macrodiversity MIMO scenario have distanced users
    • So, virtual MIMO has different average link SNR because of channel impairments (shadow fading, path loss)
    • Increased in conceptual and applied issues. For instance: difference in average link SNRs which affects user performance and system capacity in fading environ

As a matter of fact, accurate channel state information (CSI) feedback is more essential for accomplishing M MIMO Thesis. And the orthogonal pilot sequence is used to estimate the channel among transmitter and receiver. Here, the reuse of orthogonal pilot sequence may leads to the pilot contamination. As a result, it affects the performance of M-MIMO systems.

In order to mitigate the pilot contamination, one should use channel estimation and simple pilot assignment from constrained training sequences. In overall, pilot contamination is the soluble issue. Further, we can increase channel capacity through employing multiple antennas. Additionally, we have also given you the other significant research gaps of MIMO technology.

Research Gaps in MIMO

  • Inexact CSI feedback/feedback and overhead
    • Measure the CSI feedback accurately among base stations and users
    • If the channels among BS antenna are different then it there is huge overhead in CSI feedback
  • Large users located along similar transmit direction
    • The beams that points towards the various users may get overlap
    • Then, the orthogonal sub channels of the users may have the overlapping beams
  • Imprecise estimation of location
    • To employ efficient beamforming, we need to precisely identify the signal route location among users and base stations
  • Dynamic beam-steering for mobility users
    • Tracking of moving users is a tedious and time-consuming task
    • As a result, it affects the MIMO performance

Besides, we have also given you the current techniques of MIMO that essentially recommended in current research. Beyond this list of techniques, we also support you in other major techniques.

Latest Project Topics in MIMO Thesis

Our developers have long-term practice in handling any complex numerical / mathematical issues so we are proficient to tackle any kind of challenging research problem. Further, we also suggest you own / predefined techniques based on degree of complexity in handpicked research problem

Latest Techniques for MIMO

  • Sub-optimal
    • Interference Cancellation
      • PIC and SIC
    • MMSE
      • Incorporate Noise into Account
    • Zero Forcing
      • Noise Improvement
  • Machine Learning-based Decoders
    • Quasi-ML: Sphere Decoders (N-best and Fixed)
    • Comprehensive Search (For instance: 64 QAM. 4×4 which means 4M entrants)

In point of fact, selection of MIMO thesis topics is a unique art of knowledge. In some cases, the instructor assists you to choose their suggested topic. But, it is good to choose the topic on your interest area even many instructors are expected to choose topic on own interest.  For your awareness, here we have listed out few important tips to be followed in MIMO thesis topic selection.

How do we choose an effective thesis writing topic?

  • Analyse the recent research papers to find current research demands
  • Perform complete review over the collected papers and select the topic that suits your interest
  • Analyse the future scope and available research materials of the selected topic
  • Describe the handpicked thesis topic precisely by underlining research question
  • Perform complete investigation on topic
  • Create the list of important keywords / terms that going to be used in thesis
  • Create the simple and focused thesis statement

Prior to selection, make sure that selected topic is focusing on particular subject in your interest. Also, analyse whether the handpicked topic motivates you to do research until you complete thesis. Further, be sure that the selected topic meets your expectation on final project. For your information, here we have given you the list of innovative MIMO thesis topics from recent research areas.

Latest Innovative MIMO Thesis Topics

  • Adaptive Precoding
    • Based on the matrix channel estimation, precoding matrix W will be implemented
  • Improved Grouping of Antenna
    • In space-time coding, various time-frequency resources utilize various transmission antenna pairs
  • Optimal Selection of MIMO Mechanism
    • Full-Rank / Static Channel – Spatial Multiplexing
    • Low-Rank / Mobile Channel – Spatial Diversity (as a minimum 3dB gain)
  • Efficient Selection of Antenna
    • With respect to CSI, only N number of antennas is selected from all transmit antennas

In overall, if you are looking for other research topics in MIMO technology, then approach us. We provide you topics based on your interest and current research demands. Further, we also support you in practical research topic implementation and MIMO thesis writing with unlimited revisions service. So, create a tie-up with us to create masterwork in your research career under the guidance of our field experts.

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