Minimize MIMO OFDM interference and noise ratio using polynomial-time algorithm

The IEEE 802.11ay wireless communication standard consents gadgets to link in the spectrum of millimeter wave (mm-Wave) 60 Giga Hertz band through 100 Gbps bandwidth. The development of promising high bandwidth in communication networks is a must as QoS, throughput and error rates of bandwidth-intensive applications like merged reality (MR), artificial intelligence (AI) related apps or wireless communication boggling exceed the extent of the chronic 802.11 standard established in 2012. Thus, the IEEE 802.11ay task group committee has newly amended recent physical (PHY) and medium access control (MAC) blueprints to guarantee a technical achievement especially in link delay on multipath fading channels (MPFC). However, due to the congestion of super bandwidth intensive apps such as IoT and big data, we propose to diversify a propagation delay to practical extension. This article then focuses on a real-world situation and how the IEEE 802.11ay design is affected by the performance of mm-Wave propagation. In specific, we randomize the unstable MPFC link capacity by taking the divergence of congested network parameters into account. The efficiency of congested MPFC-based wireless network is simulated and confirmed by advancements described in the standard.

Section: Mu-mimo Beam-formingmentioning

confidence: 99%

Performance evaluation of wireless local area network with congested fading channels

Jittawiriyanukoon¹,

Srisarkun²

2022

“…13, No. 1, February 2023: 1189-1200 1190 channel estimation alone is vital for improving performance [5], [6]. A method for preventing channel fading called STBC comprises generating codes at the transmitter and encoding them somewhere at the receiving end.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the decision feedback mechanism may generate information loss, lowering the system's BER. To create a more precise weighting matrix, the extended Kalman filter (EKF) utilizes the Turbo decoder, which reduces errors propagating through the channel [6]. With the turbo decoder, on the other hand, the system becomes even more complex.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of bit error rate in 2×2 and 4×4 multi-input multi-output-orthogonal frequency division multiplexing systems

Kumar

Prasanna²,

Alagarsamy³

et al. 2023

Multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems with multiple input antennas and multiple output antennas in dynamic environments face the challenge of channel estimation. To overcome this challenge and to improve the performance and signal-to-noise ratio, in this paper we used the Kalman filter for the correct estimation of the signal in dynamic environments. To obtain the original signal at the receiver end bit error rate factor plays a major role. If the signal to noise ratio is high and the bit error rate is low then signal strength is high, the signal received at the receiver end is almost similar to the ith transmitted signal. The dynamic tracking characteristic of Kalman filter is used to establish a dynamic space-time codeword and a collection of orthogonal pilot sequences to prevent interference among transmissions in this paper. Using the simulation, the Kalman filter method can be compared to the other channel estimation method presented in this paper that can track time-varying channels rapidly.

“…Thus in our work we may use simple algorithm only, namely Bhattacharyya bounds based construction. The readers wanting to go deeper into the current study may experiment separately the orthogonal frequencydivision multiplexing (OFDM) [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] and exploit our approach to get the effect of such modulation technique on the performance of the code construction. Obviously, OFDM is still an ultimate candidate for wireless applications, since it allows resolving the well-known problem of spectrum underutilization [25].…”

Section: Introductionmentioning

confidence: 99%

Study of the operational SNR while constructing polar codes

Benkhouya¹,

Chana²,

Hadi³

2020

Channel coding is commonly based on protecting information to be communicated across an unreliable medium, by adding patterns of redundancy into the transmission path. Also referred to as forward error control coding (FECC), the technique is widely used to enable correcting or at least detecting bit errors in digital communication systems. In this paper we study an original FECC known as polar coding which has proven to meet the typical use cases of the next generation mobile standard. This work is motivated by the suitability of polar codes for the new coming wireless era. Hence, we investigate the performance of polar codes in terms of bit error rate (BER) for several codeword lengths and code rates. We first perform a discrete search to find the best operating signal-to-noise ratio (SNR) at two different code rates, while varying the blocklength. We find in our extensive simulations that the BER becomes more sensitive to operating SNR (OSNR) as long as we increase the blocklength and code rate. Finally, we note that increasing blocklength achieves an SNR gain, while increasing code rate changes the OSNR domain. This trade-off sorted out must be taken into consideration while designing polar codes for high-throughput application.