Method and apparatus for wireless communication of data

Abstract

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate.

Description

METHOD AND APPARATUS FOR WIRELESS COMMUNICATION OF DATA

[0001] The present invention generally relates to communication systems, and more particularly relates to a system and a method for wireless communication of data.

[0002] Considering the development of wireless communication from generation to generation, the technologies have been developed mainly for services targeting humans, such as voice calls, multimedia services, and data services. Following the commercialization of 5G (5th-generation) communication systems, it is expected that the number of connected devices will exponentially grow. Increasingly, these will be connected to communication networks. Examples of connected things may include vehicles, robots, drones, home appliances, displays, smart sensors connected to various infrastructures, construction machines, and factory equipment. Mobile devices are expected to evolve in various form-factors, such as augmented reality glasses, virtual reality headsets, and hologram devices. In order to provide various services by connecting hundreds of billions of devices and things in the 6G (6th-generation) era, there have been ongoing efforts to develop improved 6G communication systems. For these reasons, 6G communication systems are referred to as beyond-5G systems.

[0003] 6G communication systems, which are expected to be commercialized around 2030, will have a peak data rate of tera (1,000 giga)-level bps and a radio latency less than 100μsec, and thus will be 50 times as fast as 5G communication systems and have the 1 / 10 radio latency thereof.

[0004] In order to accomplish such a high data rate and an ultra-low latency, it has been considered to implement 6G communication systems in a terahertz band (for example, 95GHz to 3THz bands). It is expected that, due to severer path loss and atmospheric absorption in the terahertz bands than those in mmWave bands introduced in 5G, technologies capable of securing the signal transmission distance (that is, coverage) will become more crucial. It is necessary to develop, as major technologies for securing the coverage, radio frequency (RF) elements, antennas, novel waveforms having a better coverage than orthogonal frequency division multiplexing (OFDM), beamforming and massive multiple input multiple output (MIMO), full dimensional MIMO (FD-MIMO), array antennas, and multiantenna transmission technologies such as large-scale antennas. In addition, there has been ongoing discussion on new technologies for improving the coverage of terahertz-band signals, such as metamaterial-based lenses and antennas, orbital angular momentum (OAM), and reconfigurable intelligent surface (RIS).

[0005] Moreover, in order to improve the spectral efficiency and the overall network performances, the following technologies have been developed for 6G communication systems: a full-duplex technology for enabling an uplink transmission and a downlink transmission to simultaneously use the same frequency resource at the same time; a network technology for utilizing satellites, high-altitude platform stations (HAPS), and the like in an integrated manner; an improved network structure for supporting mobile base stations and the like and enabling network operation optimization and automation and the like; a dynamic spectrum sharing technology via collison avoidance based on a prediction of spectrum usage; an use of artificial intelligence (AI) in wireless communication for improvement of overall network operation by utilizing AI from a designing phase for developing 6G and internalizing end-to-end AI support functions; and a next-generation distributed computing technology for overcoming the limit of UE computing ability through reachable super-high-performance communication and computing resources (such as mobile edge computing (MEC), clouds, and the like) over the network. In addition, through designing new protocols to be used in 6G communication systems, developing mecahnisms for implementing a hardware-based security environment and safe use of data, and developing technologies for maintaining privacy, attempts to strengthen the connectivity between devices, optimize the network, promote softwarization of network entities, and increase the openness of wireless communications are continuing.

[0006] It is expected that research and development of 6G communication systems in hyper-connectivity, including person to machine (P2M) as well as machine to machine (M2M), will allow the next hyper-connected experience. Particularly, it is expected that services such as truly immersive extended reality (XR), high-fidelity mobile hologram, and digital replica could be provided through 6G communication systems. In addition, services such as remote surgery for security and reliability enhancement, industrial automation, and emergency response will be provided through the 6G communication system such that the technologies could be applied in various fields such as industry, medical care, automobiles, and home appliances.

[0007] Wireless communication technologies have evolved through multiple generations to meet increasing demands for data rate, reliability, and connectivity. Long Term Evolution (LTE) systems, involving fourth-generation (4G) technology, utilize Orthogonal Frequency Division Multiplexing (OFDM) technique for downlink communications. For uplink communications, a Single Carrier Frequency Division Multiple Access (SC-FDMA) technique is used by the LTE system. Fifth generation (5G) New Radio (NR) systems also utilize adopted OFDM techniques for both uplink and downlink communications.

[0008] Despite widespread adoption, conventional OFDM techniques exhibit several limitations. For example, the conventional OFDM techniques are highly sensitive to doppler shift in high-mobility scenarios. Further, the conventional OFDM techniques suffer from an Inter-Carrier Interference (ICI) which degrades an overall signal quality.

[0009] Further, in the transition toward Beyond 5G (B5G) and 6G networks, the wireless communication systems are expected to provide ubiquitous reliable connections to numerous highly mobile terminals. Moreover, upcoming network infrastructure supports communications in high rate (i.e., in Terahertz (THz)) with substantial bandwidth capabilities for high-mobility applications. However, even in such conventional wireless systems, the combination of operations in high carrier frequency and high velocities induces severe doppler effects in signals received by a user equipment (UE).

[0010] Some conventional techniques involve use of Orthogonal Time-Frequency Space (OTFS) modulation techniques. However, the OTFS techniques have high computational complexity. Thus, the OTFS technique requires additional signal processing. Moreover, an implementation of the OTFS technique requires additional efficient channel estimation and equalization techniques. The additional signal processing requirement limits an overall power efficiency of the system implementing the OTFS techniques.

[0011] In wireless communication systems with multiple base stations, a moving UE receives superimposed signals from various paths, each exhibiting different delay and doppler characteristics. The superimposed signal creates signal detection ambiguity, resulting in higher data demodulation error rates.

[0012] Therefore, there exists a need to overcome one or more of the above-mentioned problems.

[0013] In line with development of the communication systems, there is a need for effective method for wireless communication of data.

[0014] The technical subjects pursued in the disclosure may not be limited to the above mentioned technical subjects, and other technical subjects which are not mentioned may be clearly understood, through the following descriptions, by those skilled in the art to which the disclosure pertains.

[0015] This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention. This summary is neither intended to identify key or essential inventive concepts of the invention nor is it intended for determining the scope of the invention.

[0016] According to one embodiment of the present disclosure, a method for wireless communication of data is disclosed. The method includes modulating one or more information bits associated with the data to obtain one or more modulated symbols. The method includes mapping the one or more modulated symbols into a two-dimension transform domain signal. The method further includes performing a two-dimensional inverse discrete cosine transform on the two-dimension transform domain signal to obtain a time-frequency domain signal. The method additionally includes converting the time-frequency domain signal into a time domain signal using an orthogonal frequency division multiplexing (OFDM) technique. The method further includes communicating the data by transmitting the time domain signal to a receiving device.

[0017] According to one embodiment of the present disclosure, a method for wireless communication of data is disclosed. The method includes modulating one or more information bits associated with the data to obtain one or more modulated symbols. Further, the method includes mapping the one or more modulated symbols, into a two-dimension transform domain signal. Furthermore, the method includes performing a two-dimensional inverse discrete cosine transform on the two-dimension transform domain signal to obtain a time-frequency domain signal. Furthermore, the method includes converting the time-frequency domain signal into a time domain signal using an orthogonal frequency division multiplexing (OFDM) technique. Furthermore, the method includes communicating the data by transmitting the time domain signal to a receiving device.

[0018] According to another embodiment of the present disclosure, a system for wireless communication of data is disclosed. The system includes a memory, and at least one processor in communication with the memory. The at least one processor is configured to modulate one or more information bits associated with the data to obtain one or more modulated symbols. Further, the at least one processor is configured to map the one or more modulated symbols into a two-dimension transform domain signal. Furthermore, the at least one processor is configured to perform a two-dimensional inverse discrete cosine transform on the two-dimension transform domain signal to obtain a time-frequency domain signal. Furthermore, the at least one processor is configured to convert the time-frequency domain signal into a time domain signal using an orthogonal frequency division multiplexing (OFDM) technique. Furthermore, the at least one processor is configured to communicate the data by transmitting the time domain signal to a receiving device.

[0019] To further clarify the advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which are illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail in the accompanying drawings.

[0020] The present disclosure provides an effective and efficient method for wireless communication of data. Advantageous effects obtainable from the disclosure may not be limited to the above mentioned effects, and other effects which are not mentioned may be clearly understood, through the following descriptions, by those skilled in the art to which the disclosure pertains.

[0021] These and other features, aspects, and advantages of the present invention will become better understood when the following detailed description is read with reference to the accompanying drawings in which like characters represent like parts throughout the drawings, wherein:

[0022] Figure 1illustrates an environment of a wireless communication system, according to an embodiment of the present disclosure;

[0023] Figure 2illustrates a block diagram of the system for wireless communication of data, according to an embodiment of the present disclosure;

[0024] Figure 3illustrates a process flow associated with a two dimensional inverse discrete cosine transform (2D-IDCT) performing module of the system for wireless communication of data, according to an embodiment of the present disclosure;

[0025] Figure 4illustrates an exemplary process flow associated with the 2D-IDCT performing module of the system for wireless communication of data, according to an embodiment of the present disclosure;

[0026] Figure 5illustrates a process flow associated with a two dimensional discrete cosine transform (2D-DCT) performing module of the system for wireless communication of data, according to an embodiment of the present disclosure;

[0027] Figure 6illustrates an exemplary process flow associated with the two dimensional discrete cosine transform (2D-DCT) performing module of the system for wireless communication of data, according to an embodiment of the present disclosure;

[0028] Figure 7illustrates an exemplary implementation of the system for wireless communication of data, according to an embodiment of the present disclosure;

[0029] Figures 8A-8Dillustrate the performance of the system for wireless communication of data at different doppler frequencies, according to various embodiments of the present disclosure; and

[0030] Figure 9illustrates a flowchart depicting an exemplary method for wireless communication of data, according to an embodiment of the present disclosure.

[0031] Further, skilled artisans will appreciate that elements in the drawings are illustrated for simplicity and may not have necessarily been drawn to scale. For example, the flow charts illustrate the method in terms of the most prominent steps involved to help to improve understanding of aspects of the present invention. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the drawings with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.

[0032] For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the various embodiments and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates.

[0033] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are explanatory of the invention and are not intended to be restrictive thereof.

[0034] Reference throughout this specification to "an aspect," "another aspect" or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, appearances of the phrase "in an embodiment," "in another embodiment" and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

[0035] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such process or method. Similarly, one or more devices or sub-systems or elements or structures or components proceeded by "comprises... a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional sub-systems or additional elements or additional structures or additional components.

[0036] Embodiments of the present disclosure may be described below in detail with reference to the accompanying drawings.

[0037] Described herein is a system and method for wireless communication of data. According to the technique disclosed herein, one or more information bits associated with data are modulated to obtain one or more modulated symbols. The one or more modulated symbols are mapped into a two-dimensional transform domain signal using a pre-defined mapping technique. A two-dimensional inverse discrete cosine transform is performed on the transform domain signal to obtain a time-frequency domain signal. The time-frequency domain signal is converted into a time domain signal using an orthogonal frequency division multiplexing technique. The data is communicated by transmitting the time domain signal to a receiving device. At the receiving device, a reverse process is implemented to recover the original information bits. The present disclosure provides an improved waveform design for wireless communication to demonstrate enhanced performance in high-mobility scenarios, increased resilience to doppler effects, and reduced computational complexity compared to conventional approaches.

[0038] Figure 1illustrates an environment 100 of a wireless communication system, according to an embodiment of the present disclosure. The environment 100 may include a wireless communication network with one or more base stations 102A, 102B, and 102C. The wireless communication network may facilitate data transmission between the one or more base stations 102A, 102B, and 102C, and one or more User Equipment (UEs) 104.

[0039] In one embodiment, the wireless communication network illustrated within the environment 100 may deploy Beyond 5G (B5G) and 6G technologies for supporting high mobility communications. The environment 100 may include highly mobile terminals as the one or more UEs 102 (interchangeably referred to as the UE 102). In an embodiment, the UE 102 may correspond to an autonomous vehicle traveling at a speed as high as 300 km / h. The communication within the one or more base stations 102A, 102B, and 102C, and the one or more UEs 102 may correspond to vehicle-to-vehicle or vehicle-to-infrastructure communication. In another embodiment, the UE 104 may include a High-Speed Train (HST) running at a speed of 500 km / h. In yet another embodiment, the wireless communication within the environment 100 may relate to space communications involving a plurality of Low-Earth-Orbit (LEO) satellites.

[0040] The highly mobile terminals may cause a significant doppler effect in the wireless communication. Particularly, the doppler effect is significant at higher carrier frequencies utilized in B5G and 6G networks. Specifically, the UE 104 that may be travelling at an extremely high speed, may receive superimposed signals from multiple paths, with each path exhibiting different delay and doppler characteristics. This may also result in Inter-Carrier Interference (ICI).

[0041] Thus, the present disclosure provide system(s) to mitigate ICI caused by highly mobile terminals and provide reliable data transmission through an enhanced waveform design.

[0042] The operational and structural details of the system for wireless communication of data are described in detail in reference to the following Figures 2-9.

[0043] Figure 2illustrates a block diagram of the system 200 for wireless communication of data, according to an embodiment of the present disclosure.

[0044] The system 200 may include but is not limited to, a processor 202, a memory 204, modules 206, and data 208. The modules 206 and the memory 204 may be coupled to the processor 202.

[0045] The processor 202 may be a single processing unit or several units, all of which could include multiple computing units. The processor 202 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and / or any devices that manipulate signals based on operational instructions. Among other capabilities, the processor 202 is adapted to fetch and execute computer-readable instructions and data stored in the memory 204.

[0046] The memory 204 may include any non-transitory computer-readable medium known in the art including, for example, volatile memory, such as static random-access memory (SRAM) and dynamic random-access memory (DRAM), and / or non-volatile memory, such as read-only memory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, and magnetic tapes. The memory 204 may alternatively be referred to as a database 204 in the present disclosure, within the scope of the invention.

[0047] The modules 206, amongst other things, include routines, programs, objects, components, data structures, etc., which perform particular tasks or implement data types. The modules 206 may also be implemented as, signal processor(s), state machine(s), logic circuitries, and / or any other device or component that manipulates signals based on operational instructions.

[0048] Further, the modules 206 may be implemented in hardware, instructions executed by a processing unit, or by a combination thereof. The processor 202 can comprise a computer, a processor, a state machine, a logic array, or any other suitable devices capable of processing instructions. The processing unit can be a general-purpose processor (e.g., processor 202) which executes instructions to cause the general-purpose processor to perform the required tasks, or the processing unit can be dedicated to performing the required functions. In another embodiment of the present disclosure, the modules 206 may be machine-readable instructions (software) which, when executed by the processor 202 / processing unit, perform any of the described functionalities / methods, as discussed throughout the present disclosure.

[0049] Furthermore, the modules 206 may be implemented through an artificial intelligence (AI) model. A function associated with AI may be performed through the non-volatile memory, the volatile memory, and the processor.

[0050] The processor 202 may include one or a plurality of processors. At this time, one or a plurality of processors may be a general purpose processor, such as a central processing unit (CPU), an application processor (AP), or the like, a graphics-only processing unit such as a graphics processing unit (GPU), a visual processing unit (VPU), and / or an AI-dedicated processor such as a neural processing unit (NPU).

[0051] The one or the plurality of processors control the processing of the input data in accordance with a predefined operating rule or artificial intelligence (AI) model stored in the non-volatile memory and the volatile memory. The predefined operating rule or artificial intelligence model is provided through training or learning.

[0052] In an embodiment, the modules 206 may include a modulation module 210, a mapping module 212, a two-dimensional (2D) Inverse Discrete Cosine Transform (2D-IDCT) performing module 214, a time domain conversion module 216, a transmitting module 218, a receiving module 220, a time-frequency domain conversion module 222, a 2D Discrete Cosine Transform (DCT) (2D-DCT) performing module 224, a de-mapping module 226, and a de-modulation module 228. The modulation module 210, the mapping module 212, the 2D-IDCT performing module 214, the time domain conversion module 216, the transmitting module 218, the receiving module 220, the time-frequency domain conversion module 222, the 2D-DCT performing module 224, the de-mapping module 226, and the de-modulation module 228 may be in communication with each other. The data 208 serves, amongst other things, as a repository for storing data processed, received, and generated by one or more of the modules 206.

[0053] In an embodiment, the system 200 may be distributed across the wireless communication network. The modulation module 210, the mapping module 212, the 2D-IDCT performing module 214, the time domain conversion module 216, and the transmitting module 218 may be implemented at a transmission end of the wireless communication system, for instance, at the base station 102A, or 102B, or 102C. The receiving module 220, the time-frequency domain conversion module 222, the 2D-DCT performing module 224, the de-mapping module 226, and the de-modulation module 228 may be implemented at a receiving end of the wireless communication system, for instance, at the UE 104.

[0054] The detailed working of the modules 206 is described in subsequent paragraphs and in reference to figures 3-6.

[0055] In an embodiment, the system 200 may receive one or more information bits associated with the data for wireless communication. The one or more information bits may be generated from various data sources including voice data, video data, text data, or application data. The one or more information bits may be arranged in a predefined format suitable for wireless transmission.

[0056] In an embodiment, the modulation module 210 may be configured to modulate the one or more information bits associated with the data to obtain the one or more modulated symbols. The one or more information bits may be modulated using a pre-defined modulation technique. The pre-defined modulation technique may be Quadrature Amplitude Modulation (QAM), Phase Shift Keying (PSK), Quadrature Phase Shift Keying (QPSK), Binary Phase Shift Keying (BPSK), or Amplitude Shift Keying (ASK), and the like. The pre-defined modulation technique may convert the binary information bits into complex symbols representing amplitude and phase values. For QAM modulation, each set of information bits may be mapped to a complex symbol on a two-dimensional constellation diagram. The number of bits mapped to each symbol may depend on the order of the QAM modulation scheme. For example, in 16-QAM, each set of 4 information bits may be mapped to one of 16 possible constellation points.

[0057] Accordingly, the one or more modulation symbols are obtained by modulating the one or more information bits associated with the data.

[0058] In an embodiment, the mapping module 212 may be configured to map the one or more modulated symbols into the two-dimension transform domain signal using a pre-defined mapping technique. The two-dimension transform domain signal may be characterized by a two-dimensional matrix structure. The one or more modulated symbols may be arranged into the two-dimensional matrix structure representing a transform domain. The pre-defined mapping technique may involve distributing the one or more modulated symbols across the two-dimensional matrix. The pre-defined mapping technique may be interleaved mapping, block mapping, or diagonal mapping across the two-dimensional matrix. Dimensions of the two dimensional matrix may be determined based on the number of subcarriers and time slots available for transmission in the wireless communication network.

[0059] Accordingly, the one or more modulation symbols are mapped to obtain the two-dimensional transform domain signal. The two-dimensional transform domain signal is then transformed to a time-frequency domain signal using the 2D-IDCT performing module 214. The detailed operations associated with the 2D-IDCT performing module 214 are described in reference with figures 3 and 4.

[0060] Figure 3illustrates a process flow 300 associated with the 2D-IDCT performing module 214 of the system 200 for wireless communication of data, according to an embodiment of the present disclosure.Figure 4illustrates an exemplary process flow associated with the 2D-IDCT performing module 214 of the system 200 for wireless communication of data, according to an embodiment of the present disclosure.

[0061] In an embodiment, the 2D-IDCT performing module 214 may be configured to perform a two-dimensional inverse discrete cosine transform on the two-dimension transform domain signal to obtain the time-frequency domain signal. The time-frequency domain signal may refer to a two-dimensional representation of a signal that simultaneously provides information about the signal in both time and frequency domains. The time-frequency domain signal may characterize variation of frequency content of the signal with time.

[0062] In an embodiment, the 2D-IDCT performing module 214 may receive the two-dimension transform domain signal ( ) as input. In an exemplary mathematical representation, the two-dimension transform domain signal ( ) may be represented as an matrix, where k may range from 0 to and may range from 0 to .

[0063] In an embodiment, the process flow 300, at step 302, may involve performing the IDCT across a first dimension of the two-dimension transform domain signal ( ). In an embodiment, the first dimension of the two-dimension transform domain signal may correspond to a column-dimension of a matrix associated with the two-dimension transform domain signal (also referred to as the two-dimensional matrix). The IDCT may be performed to transform each column of the two-dimensional matrix independently.

[0064] Accordingly, the quasi-transformed two-dimensional signal ( ), may be obtained.

[0065] In an exemplary mathematical representation, obtaining the quasi-transformed two-dimensional signal may be represented as shown in equation 1.

[0066]

[0067] where, may range from 0 to , may range from 0 to , and may be a scaling factor represented as shown in equation 2.

[0068]

[0069] Further, at step 304, the process flow 300 may involve performing the DCT across a second dimension of the quasi-transformed two-dimensional signal ( ).

[0070] In an embodiment, the second dimension of the quasi-transformed two-dimensional signal may correspond to a row-dimension of the matrix associated with the two-dimension transform domain signal (also referred to as the two-dimensional matrix). The DCT may be performed to transform each row of the two-dimensional matrix independently.

[0071] Accordingly, the time the time-frequency domain signal ( ) may be obtained.

[0072] In an exemplary mathematical representation, obtaining the time-frequency domain signal may be represented as shown in equation 3.

[0073]

[0074] where may range from 0 to , may range from 0 to , and may be a scaling factor represented by equation 4.

[0075]

[0076] Accordingly, performing the 2D-IDCT may transform the two-dimension transform domain signal to the time-frequency domain signal through the sequential application of IDCT across the first dimension followed by DCT across the second dimension.

[0077] In an exemplary mathematical representation, performing the 2D-IDCT may be represented as shown in equation 5.

[0078]

[0079] Following the transformation of the two-dimension transform domain signal into the time-frequency domain signal by the 2D-IDCT performing module 214, the time domain conversion module 216 may process the time-frequency domain signal to generate a time domain signal suitable for transmission. The functioning of the time domain conversion module 216 is described in subsequent paragraphs.

[0080] Referring again to Figure 2, the time domain conversion module 216 may be configured to convert the time-frequency domain signal into the time domain signal using the OFDM technique. The time domain conversion module 216 may receive the time-frequency domain signal ( ) from the 2D-IDCT performing module 214 and may process the received time-frequency domain signal to generate a continuous time domain signal suitable for wireless transmission.

[0081] In an embodiment, the time domain conversion module 216 may perform an inverse fast Fourier transform (IFFT) operation on the time-frequency domain signal. The IFFT operation may transform the frequency domain components of the time-frequency domain signal into corresponding time domain samples. The IFFT operation may map each frequency bin of the time-frequency domain signal to a corresponding subcarrier in the OFDM system.

[0082] In an embodiment, the time domain conversion module 216 may be configured to add a cyclic prefix (CP) to each OFDM symbol in the time domain signal. The CP may be a repetition of an end part of the OFDM symbol that may be appended to a beginning of the OFDM symbol.

[0083] In an embodiment, the transmitting module 218 may be configured to communicate the data by transmitting the time domain signal to the receiving device. The transmitting module 218 may receive the time domain signal with the cyclic prefix from the time domain conversion module 216. The transmitting module 218 may perform digital-to-analog conversion of the time domain signal to generate an analog baseband signal. In an embodiment, the transmitting module 218 may up-convert the analog baseband signal to a radio frequency (RF) signal according to a pre-defined carrier frequency. The pre-defined carrier frequency may correspond to a specific transmission band allocated for wireless communication. In an embodiment, the transmitting module 218 may include a power amplifier to amplify the RF signal to appropriate transmission power levels based on factors including transmission distance, channel conditions, and regulatory requirements. The transmitting module 218 may be configured to route the amplified RF signal to one or more antennas for wireless transmission.

[0084] In an embodiment, the transmitting module 218 may utilize an OFDM modulator parameterized by the transmit pulse ( ) to transform to a continuous time waveform as shown in equation 6.

[0085]

[0086] where, corresponds to subcarrier spacing associated with the OFDM modultor, T may correspond to a symbol duration associated with the OFDM modulator.

[0087] In an embodiment, the receiving module 220 may be configured to receive the time domain signal at the receiving device. The receiving module 220 may capture the transmitted signal through one or more antennas at the receiving device. In an embodiment, the receiving module 220 may perform down-conversion of the received RF signal to a baseband signal. In an embodiment, the receiving module 220 may perform an analog-to-digital conversion of the baseband signal to generate a digital time domain signal for further processing.

[0088] In an embodiment, the time-frequency domain conversion module 222 may be configured to convert the time domain signal into the time-frequency domain signal using the OFDM technique. The time-frequency domain conversion module 222 may receive the time domain signal from the receiving module 220 and may process the received time domain signal. In an embodiment, the time-frequency domain conversion module 222 may remove the cyclic prefix from each OFDM symbol in the received time domain signal.

[0089] In an embodiment, the time-frequency domain conversion module 222 may be configured to perform a fast Fourier transform (FFT) on the time domain signal after removing the cyclic prefix. Performing the FFT may transform the time domain samples into corresponding frequency domain components. The FFT may convert each OFDM symbol in the time domain to a set of subcarrier values in the frequency domain.

[0090] Figure 5illustrates a process flow 500 associated with the 2D-DCT performing module 224 of the system 200 for wireless communication of data, according to an embodiment of the present disclosure. Figure 6 illustrates an exemplary process flow associated with the 2D-DCT performing module 224 of the system 200 for wireless communication of data, according to an embodiment of the present disclosure.

[0091] In an embodiment, the 2D-DCT performing module 224 may be configured to perform a two-dimensional discrete cosine transform (2D-DCT) on the time-frequency domain signal to obtain the two-dimension transform domain signal.

[0092] In an embodiment, the 2D-DCT performing module 224 may receive the time-frequency domain signal ( ) as input. In an exemplary mathematical representation, the time-frequency domain signal ( ) may be represented as an matrix, where n may range from 0 to and may range from 0 to .

[0093] In an embodiment, the process flow 500, at step 502, may involve performing the IDCT across a first dimension of the time-frequency domain signal ( ). In an embodiment, the first dimension of the time-frequency domain signal may correspond to a time dimension of a matrix associated with the time-frequency domain signal (also referred to as the two-dimensional matrix). The IDCT may transform each row of the two-dimensional matrix independently.

[0094] Accordingly, the quasi time-frequency domain signal , may be obtained.

[0095] In an exemplary mathematical representation, obtaining the quasi time-frequency domain signal may be represented as shown in equation 7.

[0096]

[0097] where, k may range from 0 to , may range from 0 to , and may be the scaling factor.

[0098] Further, at step 504, the process flow 500 may involve performing the DCT across a second dimension of the quasi time-frequency domain signal .

[0099] In an embodiment, the second dimension of the quasi time-frequency domain signal may correspond to a frequency dimension of the matrix associated with the time-frequency domain signal (also referred to as the two-dimensional matrix). The DCT may transform each column of the two-dimensional matrix independently.

[0100] Accordingly, the two-dimension transform domain signal may be obtained.

[0101] In an exemplary mathematical representation, obtaining the two-dimension transform domain signal may be represented as shown in equation 8.

[0102]

[0103] where, k may range from 0 to , may range from 0 to , and may be the scaling factor.

[0104] Accordingly, performing the 2D-DCT may transform the time-frequency domain signal to the two-dimension transform domain signal through the sequential application of IDCT across the time dimension followed by DCT across the frequency dimension.

[0105] In an exemplary mathematical representation, performing the 2D-IDCT may be represented as shown in equation 9.

[0106]

[0107] Referring again to the Figure 2, the de-mapping module 226 may be configured to de-map the two-dimension transform domain signal into the one or more modulated symbols. The de-mapping module 226 may receive the two-dimension transform domain signal from the 2D-DCT performing module 224. The de-mapping module 226 may employ a pre-defined de-mapping technique corresponding to the pre-defined mapping technique used at the transmitter. The pre-defined de-mapping technique may involve extracting the one or more modulated symbols from specific locations within the two-dimensional matrix structure. The pre-defined de-mapping technique may be symbol extraction, constellation de-mapping, or matrix de-interleaving based on the mapping pattern used at the transmitter. The de-mapping process may account for potential distortions introduced during transmission through the wireless channel.

[0108] Accordingly, the one or more modulated symbols are obtained by de-mapping the two-dimension transform domain signal.

[0109] In an embodiment, the de-modulation module 228 may be configured to de-modulate the one or more modulated symbols to obtain the one or more information bits associated with the data. The one or more modulated symbols may be de-modulated using a pre-defined de-modulation technique corresponding to the pre-defined modulation technique used at the transmitter. The pre-defined de-modulation technique may include QAM demodulation, PSK demodulation, QPSK demodulation, BPSK demodulation, or ASK demodulation, and the like. The pre-defined de-modulation technique may convert the complex symbols representing amplitude and phase values back to binary information bits. For QAM de-modulation, each complex symbol on the two-dimensional constellation diagram may be mapped back to a set of information bits. The number of bits extracted from each symbol may depend on the order of the QAM modulation scheme used at the transmitter. For example, in 16-QAM, each constellation point may be de-modulated to extract a set of 4 information bits.

[0110] Accordingly, the one or more information bits associated with the data are obtained by de-modulating the one or more modulated symbols. The recovered information bits may represent various data types including voice data, video data, text data, or application data as originally transmitted.

[0111] The preceding paragraphs described the individual modules and their functionalities within the system for wireless communication of data. An example comprehensive description of the system is elaborated in reference to Figure 7.

[0112] Figure 7illustrates an exemplary implementation of the system for wireless communication of data, according to an embodiment of the present disclosure.

[0113] In an embodiment, the system implementation may include a transmitter section and a receiver section. A communication channel 712 may connect the transmitter section to the receiver section, with noise 714 being added to the transmitted signal.

[0114] In an embodiment, input bits associated with the data for wireless communication. The one or more input bits may be fed to the transmitter section. At block 702, QAM modulation may be performed to convert the one or more input bits into one or more modulated symbols. At block 704, the one or more modulated symbols may be mapped to obtain a two-dimensional transform signal. At block 706, 2D-IDCT may be performed on the two-dimensional transform domain signal to obtain the time-frequency domain signal. Further, at block 708, IFFT or OFDM modulation may be performed to convert the time-frequency domain signal to the time domain using an inverse fast Fourier transform. At block 710, cyclic prefix may be added to append the cyclic prefix to each OFDM symbol in the time domain signal.

[0115] In an embodiment, the time domain signal may be transmitted through the communication channel 712, where noise 714 may be added to the signal. At block 716, the cyclic prefix may be removed from the received signal. At block 718, FFT or OFDM demodulation may be performed to convert the time domain signal back to the time-frequency domain. At block 720, 2D-DCT may be performed to transform the time-frequency domain signal back to the two-dimensional transform domain. At block 722, the one or more modulated symbols may be extracted from the two-dimensional transform domain signal. Finally, at block 724, QAM de-modulation may be performed to demodulate the symbols to recover the original one or more input bits as one or more output bits.

[0116] Figures 8A-8Dillustrate performance of the system for wireless communication of data at different maximum Doppler frequency, according to various embodiments of the present disclosure.

[0117] In an embodiment, Figure 8A illustrates the Bit Error Rate (BER) performance comparison of different modulation schemes with maximum doppler frequency ( ) of 1 Hz. The graph 802 of BER against Signal-to-Noise Ratio (SNR) in dB for various schemes including OFDM, DFT-s-OFDM, OTFS, OTSM, and 2D-DCT-OFDM. At this low mobility scenario with = 1 Hz, all modulation schemes except conventional OFDM may demonstrate similar performance.

[0118] In an embodiment, Figure 8B illustrates the BER performance 804 comparison with maximum doppler frequency ( ) of 111 Hz. As the doppler frequency increases, the performance gap between conventional OFDM and the disclosed 2D-DCT-OFDM may become more pronounced. The 2D-DCT-OFDM may maintain improved performance across the SNR range compared to OFDM.

[0119] In an embodiment, Figure 8C illustrates the BER performance 806 comparison with maximum doppler frequency ( ) of 444 Hz. In higher mobility scenarios, conventional techniques experience significant performance degradation due to inter-carrier interference caused by doppler shifts. The disclosed 2D-DCT-OFDM may demonstrate better performance maintaining low BER levels even at higher SNR values.

[0120] In an embodiment, Figure 8D illustrates the BER performance 804 comparison with maximum Doppler frequency ( ) of 1000 Hz. The maximum doppler frequency ( ) of 1000 Hz may represent an extremely high mobility scenario. The disclosed 2D-DCT-OFDM may outperform other conventional techniques with lower BER values across the SNR range.

[0121] Figure 9illustrates a flowchart depicting an exemplary method 900 for wireless communication of data, according to an embodiment of the present disclosure. The method 900 may be a computer-implemented method executed by a transmitting device. For the sake of brevity, constructional and operational features of the system that are already explained in the previous description are not explained in detail in the description of Figure 9.

[0122] The method 900, at step 902, involves modulating the one or more information bits associated with the data to obtain the one or more modulated symbols. Thereafter, at step 904, the method 900 involves mapping the one or more modulated symbols, using the pre-defined mapping technique, into the two-dimension transform domain signal. Subsequently, at step 906, the method 900 involves performing the two-dimensional inverse discrete cosine transform on the two-dimension transform domain signal to obtain the time-frequency domain signal. Further, at step 908, the method 900 involves converting the time-frequency domain signal into the time domain signal using the OFDM technique. Finally, at step 910, the method 900 involves communicating the data by transmitting the time domain signal to the receiving device.

[0123] At least by virtue of the aforesaid, the present subject matter at least provides the following advantages:

[0124] The present disclosure herein offers improved performance compared to conventional techniques in both low and high-mobility scenarios.

[0125] The present disclosure herein provides a two-dimensional transform domain processing technique utilizing discrete cosine transform for wireless communication that achieves better energy compaction in both time and frequency domains, thereby enhancing efficiency in processing multipath fading channels.

[0126] The present disclosure herein performs discrete cosine transform in both domains, thereby achieving better energy compaction, improved robustness against fading, and reduced inter-carrier interference.

[0127] The present disclosure herein fundamentally operates in an alternative two-dimensional transform domain, thereby effectively converting the fading, time-variant channel experienced by OFDM into a non-fading, time-independent channel.

[0128] The present disclosure herein transforms a time-variant fading channel into a quasi-static, time-invariant channel by spreading the channel variation in both time and frequency domains.

[0129] The present disclosure herein reduces distortions induced due to doppler effect by spreading signal energy across both time and frequency domains, thereby providing better resilience against doppler spread, reducing inter-carrier interference, and improving robustness in high-mobility scenarios.

[0130] The present disclosure herein enhances spectral efficiency and reduces computational complexity, thereby making the system suitable for next-generation wireless.

[0131] The present disclosure herein requires less computational complexity than conventional techniques while providing better performance in high-doppler scenarios.

[0132] While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.

[0133] The drawings and the forgoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of processes described herein may be changed and are not limited to the manner described herein.

Claims

1.A method (900) for wireless communication of data, the method (900) comprising:modulating (902) one or more information bits associated with the data to obtain one or more modulated symbols;mapping (904) the one or more modulated symbols, using a pre-defined mapping technique, into a two-dimension transform domain signal;performing (906) a two-dimensional inverse discrete cosine transform on the two-dimension transform domain signal to obtain a time-frequency domain signal;converting (908) the time-frequency domain signal into a time domain signal using an orthogonal frequency division multiplexing (OFDM) technique; andcommunicating (910) the data by transmitting the time domain signal to a receiving device.2.The method (900) as claimed in claim 1, wherein performing (906) the two-dimensional inverse discrete cosine transform on the two-dimension transform domain signal comprises:performing, across a first dimension of the two-dimension transform domain signal, an inverse discrete cosine transform on the two-dimension transform domain signal to obtain a quasi-transformed two-dimensional signal; andperforming, across a second dimension of the quasi-transformed two-dimensional signal, a discrete cosine transform on the quasi-transformed signal to obtain the time-frequency domain signal.3.The method (900) as claimed in claim 2, wherein:the first dimension corresponds to a row-dimension of a matrix associated with the two-dimension transform domain signal; andthe second dimension corresponds to a column-dimension of the matrix associated with the two-dimension transform domain signal.4.The method (900) as claimed in claim 1, further comprises:receiving, at the receiving device, the time domain signal;converting the time domain signal into the time-frequency domain signal using the OFDM technique;performing a two-dimensional discrete cosine transform on the time-frequency domain signal to obtain the two-dimension transform domain signal;de-mapping the two-dimension transform domain signal, using a pre-defined de-mapping technique corresponding to the pre-defined mapping technique, into the one or more modulated symbols; andde-modulating the one or more modulated symbols to obtain one or more information bits associated with the data.5.The method (900) as claimed in claim 4, wherein performing a two-dimensional discrete cosine transform on the time-frequency domain signal comprises:performing, across a time dimension of the time-frequency domain signal, the inverse discrete cosine transform on the time-frequency domain signal to obtain a quasi time-frequency domain signal; andperforming, across a frequency dimension of the quasi time-frequency domain signal, a discrete cosine transform on the quasi time-frequency domain signal to obtain the two-dimension transform domain signal.6.A system (200) for wireless communication of data, the system comprising:a memory (204); andat least one processor (202) in communication with the memory (204), the at least one processor (202) configured to:modulate one or more information bits associated with the data to obtain one or more modulated symbols,map the one or more modulated symbols, using a pre-defined mapping technique, into a two-dimension transform domain signal,perform a two-dimensional inverse discrete cosine transform on the two-dimension transform domain signal to obtain a time-frequency domain signal,convert the time-frequency domain signal into a time domain signal using an orthogonal frequency division multiplexing (OFDM) technique, andcommunicate the data by transmitting the time domain signal to a receiving device.7.The system (200) as claimed in claim 6, wherein to perform the two-dimensional inverse discrete cosine transform on the two-dimension transform domain signal, the at least one processor (202) is configured to:perform, across a first dimension of the two-dimension transform domain signal, an inverse discrete cosine transform on the two-dimension domain signal to obtain a quasi-transformed two-dimension signal; andperform, across a second dimension of the quasi-transformed two-dimension transform signal, a discrete cosine transform on the quasi-transformed signal to obtain the time-frequency domain signal.8.The system (200) as claimed in claim 7, wherein:the first dimension corresponds to a row-dimension of a matrix associated with the two-dimension transform domain signal; andthe second dimension corresponds to a column-dimension of the matrix associated with the two-dimension transform domain signal.9.The system (200) as claimed in claim 6, wherein the at least one processor (202) is further configured to:receive, at the receiving device, the time domain signal;convert the time domain signal into the time-frequency domain signal using the OFDM technique;perform a two-dimensional discrete cosine transform on the time-frequency domain signal to obtain the two-dimension transform domain signal;de-map the two-dimension transform domain signal, using a pre-defined de-mapping technique corresponding to the pre-defined mapping technique, into the one or more modulated symbols; andde-modulate the one or more modulated symbols to obtain one or more information bits associated with the data.10.The system (200) as claimed in claim 9, wherein to perform a two-dimensional discrete cosine transform on the time-frequency domain signal, the at least one processor (202) is configured to:perform, across a time dimension of the time-frequency domain signal, the inverse discrete cosine transform on the time-frequency domain signal to obtain a quasi time-frequency domain signal; andperform, across a frequency dimension of the quasi time-frequency domain signal, a discrete cosine transform on the quasi time-frequency domain signal to obtain the two-dimension transform domain signal.

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