Efficient Variable Modulation Scheme Based on Codebook in the MIMO-OFDM System
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Efficient Variable Modulation Scheme Based on Codebook in the MIMO-OFDM System

Authors: Yong-Jun Kim, Jae-Hyun Ro, Chang-Bin Ha, Hyoung-Kyu Song

Abstract:

Because current wireless communication requires high reliability in a limited bandwidth environment, this paper proposes the variable modulation scheme based on the codebook. The variable modulation scheme adjusts transmission power using the codebook in accordance with channel state. Also, if the codebook is composed of many bits, the reliability is more improved by the proposed scheme. The simulation results show that the performance of proposed scheme has better reliability than the the performance of conventional scheme.

Keywords: MIMO-OFDM, variable modulation, codebook, channel state.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1108362

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1769

References:


[1] Linglong. D, Zhaocheng. W and Zhixing Y, “Time-Frequency Training OFDM with High Spectral Efficiency and Reliable Performance in High Speed Environments,” IEEE Journal on Selected Areas in Communications, vol.30, no.4, pp.695-707, May 2012.
[2] Char-Dir. C, “Spectral Precoding for Constant-Envelope OFDM,” IEEE Transacations on Communications, vol.58, no.2, pp.555-567, Feb. 2010.
[3] Guoying. Z, Marc-De. L, Annalisa. M and Biswanath. M, “A Survey on OFDM-Based Elastic Core Optical Networking,” IEEE Conference on Control and System Graduate Research Colloquium (ICSGRC), pp. 94-99, July 2012.
[4] Heung-Gyoon. R, “System Design and Analysis of MIMO SFBC CI-OFDM System against the Nonlinear Distortion and Narrowband Interference,” IEEE Communications Surveys & Tutorlals, vol.15, pp.368 - 375, no.1, First Quarter 2013.
[5] Xue. L, Steven. H, Vasu. D, Michael. T and Zhiqiang. W, “Intercarrier Interference Immune Single Carrier OFDM via Magnitude-Keyed Modulation for High Speed Aerial Vehicle Communication,” IEEE Transactions on Communications, vol.61, no.2, pp.658-668, Feb. 2013.
[6] Jong-Moon. C, Joonyung. K and Donghyuk. H “Multihop Hybrid Virtual MIMO Scheme for Wireless Sensor Networks,” IEEE Transacations on Vehicular Technology, vol.61, no.9, pp.4069-4078, Nov. 2012.
[7] Chong-Yung. C and Chii-Horng. C, “Cumulant-Based Inverse Filter Criteria for MIMO Blind Deconvolution: Properties, Algorithms, and Application to DS/CDMA Systems in Multipath,” IEEE Transacations on Signla Processing, vol.49, no.7, pp.1282-1299, July 2001.
[8] Weiyan. G, Junshan. Z and Guoliang. X, “MIMO-Pipe Modeling and Scheduling for Efficient Interference Management in Multihop MIMO Networks,” IEEE Transacations on Vehicular Technology, vol.59, no.8, pp.3966-3978, Oct. 2010.
[9] Ranga. P, Strkrishana .B and Chockalingam. A, “On the Sum-Rate of the Gaussian MIMO Z Channel and the Gaussian MIMO X Channel,” IEEE Transactions on Communications, vol.63, no.2, pp.487-497, Feb. 2015.
[10] Lars-T. B, Abdreas. S, Pascal. P and Daniel-M. S “MIMO Power Line Communications,” IEEE Communications Surveys & Tutorlals, vol.17, no.1, pp.106-124, First Quarter 2015.
[11] Victoria. K and Sergey. L, “On Optimum Power Allocation for the V-BLAST,” IEEE Transactions on Communications, vol.56, no.6, pp.999-1012, June 2008.
[12] Xin. L and Zaiping. N, “Performance Losses in V-BLAST Due to Correlation,” IEEE Antennas and Wireless Propagation Letters, vol.3, pp.291-294, Dec. 2004.
[13] Hairuo. Z, Lin. D, Shidong. Z and Yan. Y, “Low Complexity Per-Antenna Rate and Power Control Approach for Closed-Loop V-BLAST,” IEEE Transactions on Communications, vol.51, no.11, pp.1783-1787, Nov. 2003.
[14] Serdar. O and Murat. T , “Exact Joint Distribution Analysis of Zero-Forcing V-BLAST Gains with Greedy Ordering,” IEEE Transcations on Wireless Communication, vol.12, no.11, pp.5377-5385, Nov. 2013.
[15] Victiria. K and Sergey. L, “Optimum Power and Rate Allocation for Coded V-BLAST: Average Optimization ,” IEEE Transacations on Communications, vol.59, no.3, pp.877-887, Mar. 2011.
[16] Yinman. L and Hong-Wei. S “Low-Complexity Groupwise OSIC-ZF Detection for N N Spatial Multiplexing Systems,” IEEE Transacations on Vehicular Technology, vol.60, no.4, pp.1930-1937, May 2011.
[17] Donghun. L “Performance Analysis of ZF-Precoded Scheduling System for MU-MIMO with Generalized Selection Criterion,” IEEE Transcations on Wireless Communication, vol.12, no.4, pp.1812-1818, Apr. 2013.
[18] Myung-Sun. Baek, Young-Hwn. You and Hyoung-Kyu. Song, “Combined QRD-M and DFE Detection Technique for Simple and Efficient Signal Detection in MIMO-OFDM Systems,” IEEE Transcations on Wireless Communication, vol.8, no.4, pp.1632-1638, Apr. 2009.
[19] Kyeong-Jin. Kim, Tony. R and Ronald-A. I “Iterative Soft-QRD-M for Turbo Coded MIMO-OFDM Systems,” IEEE Transacations on Communication, vol.56, no.7, pp.1043-1046, July 2008.
[20] Ping. Y, Yux. X, Shaoqian. L and Lajos. H, “QRD-Assisted Adaptive Modulation-Aided MIMO Systems,” IEEE Transacations on Vehicular Technology, vol.63, no.1, pp.446-451, Jan. 2014.