A new combination of adaptive channel estimation methods and TORC equalizer in MC‐CDMA systems. (20th April 2020)
- Record Type:
- Journal Article
- Title:
- A new combination of adaptive channel estimation methods and TORC equalizer in MC‐CDMA systems. (20th April 2020)
- Main Title:
- A new combination of adaptive channel estimation methods and TORC equalizer in MC‐CDMA systems
- Authors:
- Zidane, Mohammed
Dinis, Rui - Abstract:
- Summary: Adaptive systems identification has been widely studied, but most studies have focused on the convergence of these methods. Applications of equalization systems have also received much attention. This paper presents a new combination of adaptive Broadband Radio Access Networks (BRAN) channel identification algorithms for multicarrier code division multiple access (MC‐CDMA) systems downlink equalization. In fifth‐generation (5G) wireless communications, MC‐CDMA is expected to support the associated networks. The BRAN E channel parameters, representing an outdoor scenario normalized for MC‐CDMA systems, are identified using a recursive least mean p th power algorithm with logarithmic transformation (RlogLMP). For validity and test aim, this algorithm is compared with the existing recursive least square (RLS) and least mean square (LMS) algorithms. Moreover, we use the estimated coefficients in the adaptive equalization problem. We give a review of the threshold orthogonality restoring combining (TORC) equalizer, which is coupled with the presented algorithms to counteract channel fading, as evaluated by the bit error rate (BER). Our performance results show that the RlogLMP algorithm can estimate the measured BRAN E channel with good efficiency for various values of the signal‐to‐noise ratio (SNR), as compared with the classical algorithms RLS and LMS. In adaptive equalization problems, the achieved results demonstrate that two thresholds ρ T H in the TORC equalizerSummary: Adaptive systems identification has been widely studied, but most studies have focused on the convergence of these methods. Applications of equalization systems have also received much attention. This paper presents a new combination of adaptive Broadband Radio Access Networks (BRAN) channel identification algorithms for multicarrier code division multiple access (MC‐CDMA) systems downlink equalization. In fifth‐generation (5G) wireless communications, MC‐CDMA is expected to support the associated networks. The BRAN E channel parameters, representing an outdoor scenario normalized for MC‐CDMA systems, are identified using a recursive least mean p th power algorithm with logarithmic transformation (RlogLMP). For validity and test aim, this algorithm is compared with the existing recursive least square (RLS) and least mean square (LMS) algorithms. Moreover, we use the estimated coefficients in the adaptive equalization problem. We give a review of the threshold orthogonality restoring combining (TORC) equalizer, which is coupled with the presented algorithms to counteract channel fading, as evaluated by the bit error rate (BER). Our performance results show that the RlogLMP algorithm can estimate the measured BRAN E channel with good efficiency for various values of the signal‐to‐noise ratio (SNR), as compared with the classical algorithms RLS and LMS. In adaptive equalization problems, the achieved results demonstrate that two thresholds ρ T H in the TORC equalizer minimize the performance degradation, in terms of the BER, of the MC‐CDMA system under multipath channel fading with very good accuracy, especially if the coefficients are estimated with the specific case of the power p in the RlogLMP algorithm. Abstract : MC‐CDMA system was investigated in this paper. Simulation was used to analyze the BER performance when various thresholds ρ TH of the TORC equalizer discussed in this work were used to minimize performance degradation in the MC‐CDMA system. It was shown that the BER performance when using either ρ TH =0.15 or 0.3 was similar, with very good accordance compared with other values of the threshold, especially if these coefficients are estimated in combination with the RlogLMP algorithm with power p =1.2. … (more)
- Is Part Of:
- International journal of communication systems. Volume 33:Number 11(2020)
- Journal:
- International journal of communication systems
- Issue:
- Volume 33:Number 11(2020)
- Issue Display:
- Volume 33, Issue 11 (2020)
- Year:
- 2020
- Volume:
- 33
- Issue:
- 11
- Issue Sort Value:
- 2020-0033-0011-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-04-20
- Subjects:
- adaptive identification -- BER -- BRAN channel -- MC‐CDMA systems -- RlogLMP algorithm -- TORC equalizer
Telecommunication systems -- Periodicals
621.382 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/dac.4429 ↗
- Languages:
- English
- ISSNs:
- 1074-5351
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.172515
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13179.xml