scholarly journals A New Proposed Peak-to-Average Power Reduction Parameter to Evaluate SLM and PTS as MIMO-OFDM PAPR Reduction Schemes

2019 ◽  
Vol 8 (11S) ◽  
pp. 835-839
Keyword(s):  
Average Power ◽  
Power Reduction ◽  
Papr Reduction ◽  
Average Ability ◽  
Mimo Ofdm

All around, the top to-average ability amount (PAPR) of transmitted signs for MIMO-OFDM structures diminishes the arrangement accumulation and from this time advanced turns into the amount of the radio change (RF) ascendancy intensifier. In this paper, a afflicted chrism calculation is acquired to announce arena PAPR abatement beheading and abate computational aberrancy abandoned and the accepted cantankerous brand plot. This proposed addition accurate mapping (SLM) with center address action (PTS) frameworks, and added uses absolute amplification and barter of assorted PTS sub-squares to accomplish coherently constituent MIMO-OFDM banderole groupings. Thusly, with for all intents and purposes duplicate accommodation of IFFT and date change developments, our proposed addition has the believable outcomes to accouterments bigger PAPR abatement beheading with lower computational unusualness.

scholarly journals Energy-Efficiency Analysis of Per-Subcarrier Antenna Selection with Peak-Power Reduction in MIMO-OFDM Wireless Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Ngoc Phuc Le ◽  
Le Chung Tran ◽  
Farzad Safaei
Keyword(s):  
Energy Efficiency ◽  
Power Efficiency ◽  
Peak Power ◽  
Antenna Selection ◽  
Average Power ◽  
Wireless Systems ◽  
Power Reduction ◽  
Cumulative Distribution ◽  
Peak Power Reduction ◽  
Mimo Ofdm

The use of per-subcarrier antenna subset selection in OFDM wireless systems offers higher system capacity and/or improved link reliability. However, the implementation of the conventional per-subcarrier selection scheme may result in significant fluctuations of the average power and peak power across antennas, which affects the potential benefits of the system. In this paper, power efficiency of high-power amplifiers and energy efficiency in per-subcarrier antenna selection MIMO-OFDM systems are investigated. To deliver the maximum overall power efficiency, we propose a two-step strategy for data-subcarrier allocation. This strategy consists of an equal allocation of data subcarriers based on linear optimization and peak-power reduction via cross-antenna permutations. For analysis, we derive the CCDF (complementary cumulative distribution function) of the power efficiency as well as the analytical expressions of the average power efficiency. It is proved from the power-efficiency perspective that the proposed allocation scheme outperforms the conventional scheme. We also show that the improvement in the power efficiency translates into an improved capacity and, in turn, increases energy efficiency of the proposed system. Simulation results are provided to validate our analyses.

scholarly journals PAPR Reduction Performance by Active Constellation Extension for Diversity MIMO-OFDM Systems

2010 ◽  
Vol 2010 ◽  
pp. 1-5 ◽  
Author(s):  
Theodoros Tsiligkaridis ◽  
Douglas L. Jones
Keyword(s):  
Average Power ◽  
Block Code ◽  
Papr Reduction ◽  
Ofdm Systems ◽  
Broadband Wireless ◽  
Communication Architecture ◽  
High Data ◽  
Data Rates ◽  
Mimo Ofdm ◽  
Systems Simulation

The V-BLAST wireless communication architecture, space-time block code (STBC), and space-frequency block code (SFBC) techniques are strong candidates for achieving very high data rates in 4G broadband wireless communications. This paper extends the efficient Active Constellation Extension Smart Gradient-Project (ACE-SGP) peak-to-average power (PAPR) reduction method to STBC, SFBC, and V-BLAST systems. Simulation results show 4.19 and 3.57 dB of PAPR reduction for the Alamouti STBC and SFBC, respectively.

scholarly journals A Novel SLM based PAPR reduction Technique in OFDM-MIMO System

2012 ◽  
Vol 2 (3) ◽  
pp. 41-46
Author(s):  
Er. Sukhjinder Singh ◽  
Er. Jagjit Malhotra ◽  
Er. Manwinder Singh
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Mimo System ◽  
Average Power ◽  
Fourth Generation ◽  
Papr Reduction ◽  
Mapping Technique ◽  
Promising Candidate ◽  
Broadband Wireless ◽  
Reduction Techniques ◽  
Mimo Ofdm

Orthogonal Frequency Division Multiplexing (OFDM) is annew method for fourth generation wireless communication.MIMO-OFDM has become a promising candidate for highperformance 4G broadband wireless communications.However, one main disadvantage of MIMO-OFDM is thehigh peak-to-average power ratio (PAPR) of the transmitter’soutput signal on different antennas. In this paper, we present anew noble SLM PAPR reduction techniques such asselective mapping technique and Partial transmit sequencetechniques and shows which of these PAPR reductiontechniques are more effective to reduce PAPR in OFDMMIMO.

scholarly journals PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Lahcen Amhaimar ◽  
Saida Ahyoud ◽  
Ali Elyaakoubi ◽  
Abdelmoumen Kaabal ◽  
Kamal Attari ◽  
...  
Keyword(s):  
Computational Complexity ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Multiple Input Multiple Output ◽  
Average Power ◽  
Papr Reduction ◽  
Main Concern ◽  
Ofdm Systems ◽  
Fireworks Algorithm ◽  
Mimo Ofdm

The transceiver combination technology, of orthogonal frequency division multiplexing (OFDM) with multiple-input multiple-output (MIMO), provides a viable alternative to enhance the quality of service and simultaneously to achieve high spectral efficiency and data rate for wireless mobile communication systems. However, the high peak-to-average power ratio (PAPR) is the main concern that should be taken into consideration in the MIMO-OFDM system. Partial transmit sequences (PTSs) is a promising scheme and straightforward method, able to achieve an effective PAPR reduction performance, but it requires an exhaustive search to find the optimum phase factors, which causes high computational complexity increased with the number of subblocks. In this paper, a reduced computational complexity PTS scheme is proposed, based on a novel swarm intelligence algorithm, called fireworks algorithm (FWA). Simulation results confirmed the adequacy and the effectiveness of the proposed method which can effectively reduce the computation complexity while keeping good PAPR reduction. Moreover, it turns out from the results that the proposed PTS scheme-based FWA clearly outperforms the hottest and most important evolutionary algorithm in the literature like simulated annealing (SA), particle swarm optimization (PSO), and genetic algorithm (GA).

scholarly journals PAPR Reduction in MIMO-OFDM Using Modified PTS Scheme With Hybride ABC-FF Algorithem

2018 ◽  
Vol 7 (4.5) ◽  
pp. 423
Author(s):  
K. Aruna Kumari ◽  
Dr. K. Sri Rama Krishna
Keyword(s):  
Antenna Arrays ◽  
Orthogonal Frequency Division Multiplexing ◽  
Average Power ◽  
System Capacity ◽  
Papr Reduction ◽  
Partial Transmit Sequence ◽  
High Data ◽  
In Series ◽  
Mimo Ofdm ◽  
Selective Mapping

Orthogonal Frequency Division Multiplexing (OFDM) is an admired method for high data rate wireless transmission. OFDM can be clubbed with antenna arrays at the transmitter and receiver to increase diversity gain to enhance the system capacity on time variant and frequency selective channels, resulting in (Multi input and Multi output)MIMO. One main flaw of MIMO-OFDM is that the signals transmitted on different antennas might exhibit a prohibitively large Peak-to-Average Power Ratio (PAPR). There are two techniques mainly used to mitigate the effect of PAPR namely Partial Transmit Sequence (PTS) and Selective Mapping (SLM). In this paper a new optimized Partial Transmit Sequence (PTS) scheme and SLM for PAPR reduction in MIMO-OFDM have been proposed. Both the techniques are connected in series to get efficient throughput. Hybrid of ABC–FF algorithm has been intended for optimal phase factor. The proposed technique has achieved better results than existing techniques. This intended technique has been implemented on the working platform of MATLAB.  

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