Performance Analysis of the 3GPP-LTE Physical Control Channels

Thiruvengadam, S. J.; Jalloul, Louay M. A.

doi:10.1155/2010/914934

Cited by 27 publications

(27 citation statements)

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“…It also gives an overview of the ML based estimation method for block-level detection as studied in, for example, [8]. Figure 1 shows a block diagram representation of a baseband OFDM architecture.…”

Section: Ofdm Architecture and ML Based Detectionmentioning

confidence: 99%

“…The latter is most useful for the detection of selective control information while the former is widely applied for the recovery of payload data information. In a one-tap equalization (symbol-by-symbol) decoding scheme, each OFDM subcarrier symbol is independently decoded as described in [4][5][6][7] while in a block-level decoding procedure, a group of subcarriers are collectively considered at the receiver [8]. In the case of a block-level detection, it is usually assumed that a group of subcarriers (at the receiverend) is chosen from a fixed number of possible set (known at both transmitting and receiving terminals), as described in [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Another practical example of selective control information is the control format indicator (CFI), which carries key LTE system information that enables each user equipment (UE) to correctly decode the main LTE control information within the LTE physical downlink control channel. In the LTE standard, the possible CFI value is 1, 2 or 3 [8]. A detailed description of LTE control information can be found in [13].…”

Section: Introductionmentioning

confidence: 99%

“…In the literature, a Maximum Likelihood (ML) criterion is considered as the standard block-level detection approach because it is more practical and computationally efficient (in terms of hardware implementation ) compared to other methods such as successive interference cancellation (SIC) and K-best list sphere detector (K-LSD) [8]. An FPGA implementation of the ML estimation method for the detection of a critical LTE control information is described in [15].…”

Section: Introductionmentioning

confidence: 99%

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A selective control information detection scheme for OFDM receivers

2016

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In wireless communications, both control information and payload (user-data) are concurrently transmitted and required to be successfully recovered. This paper focuses on block-level detection, which is applicable for detecting transmitted control information, particularly when this information is selected or chosen from a finite set of information that are known at both transmitting and receiving devices. Using an orthogonal frequency division multiplexing architecture, this paper investigates and evaluates the performance of a time-domain decision criterion in comparison with a form of Maximum Likelihood (ML) estimation method. Unlike the ML method, the proposed time-domain detection technique requires no channel estimation as it uses the correlation (in the time-domain) that exists between the received and the transmitted selective information as a means of detection. In comparison with the ML method, results show that the proposed method offers improved detection performance, particularly when the control information consists of at least 16. However, the implementation of the proposed method requires a slightly increased number of mathematical computations.

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Section: Ofdm Architecture and ML Based Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A selective control information detection scheme for OFDM receivers

2016

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“…The CFI contains a 32 bit code word that represents 1, 2, 3 or 4. CFI-4 is meant for future use [2]. The value of the PCFICH informs the UE (User Equipment) about the number of OFDM symbols used for the transmission of control channel (PDCCH) information in a subframe.…”

Section: Lte Physical Downlink Channelsmentioning

confidence: 99%

Implementation of Pipelined Architecture for Physical Downlink Channels of 3GPPLTE

Abbas¹,

Mary²

2013

IJNGN

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Performance analysis of LTE physical layer using hardware cosimulation techniques and implementation on FPGA for communication systems

Venkataramanan

Lakshmi

2019

Int J Communication

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The recent mobile networks provide large data access using long-term evolution networks. Long-term evolution networks are a third-generation partnership project standard that provides different speed limits for uplink and downlink. The different network operators have different bandwidth requirements to provide different services. Long-term evolution improves the efficiency of the network. The analysis of long-term evolution is performed using different signal processing algorithms that require a realistic, flexible, and standard compliant simulation environment. This study emphasizes to measure the performance of long-term evolution downlink and uplink physical layer based on Release 11, 12, and 13. The analysis of orthogonal frequency division multiple access for downlink and single-carrier frequency division multiplexing access for uplink using different modulation schemes like quadrature amplitude modulation (4, 16, 64) and different antenna configurations in long-term evolution physical layer is analyzed using hardware cosimulation platform.

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Performance Analysis of the 3GPP-LTE Physical Control Channels

Cited by 27 publications

References 1 publication

A selective control information detection scheme for OFDM receivers

A selective control information detection scheme for OFDM receivers

Implementation of Pipelined Architecture for Physical Downlink Channels of 3GPPLTE

Performance analysis of LTE physical layer using hardware cosimulation techniques and implementation on FPGA for communication systems

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