TechnologiesMigrationfrom3Gto4G英文论文.doc
《TechnologiesMigrationfrom3Gto4G英文论文.doc》由会员分享,可在线阅读,更多相关《TechnologiesMigrationfrom3Gto4G英文论文.doc(14页珍藏版)》请在三一办公上搜索。
1、TechnologiesMigrationfrom3Gto4G-英文论文 Introduction The evolution of communication systems begins with the first-generation 1G analog mobile communication systems, passes through the second generation 2G digital communication system and third generation 3G currently the worlds mainstream mobile techno
2、logy and ends with the fourth generation systems 4G of high ability. This report offers a critical view on the features of main technologies coding, modulation, signal processing and MA that underpin the migration from 3G to 4G. 1. The third generation and fourth generation communications systems 3G
3、 is an International Telecommunication Union ITU standard for third generation mobile telephone systems under the International Mobile Telecommunications programme, IMT-20003G wireless system was developed in the late 1990s and it is not only provided the high transmission speed from 125kbps to 2Mbp
4、s 1, but also included many services, such as global roaming, superior voice quality, data always add-on and packet routing. The 4G of wireless technology is still underway and stands to be the upcoming wireless devices standard. Some of these technologies are derived from 3G and hence are evolution
5、ary, while other 4G techniques are totally new concepts and can be thought of as revolutionary. The key difference between 4G and 3G technologies is the improved data transfer rates and security 2 2. Coding techniques In terms of coding of 3G systems, turbo coding is a relatively new channel coding
6、technique, which has been shown to have a performance close to the Shannon limit than what was previously achieved with block and convolutional codes 3. A typical turbo code system, a turbo encoder consists of two identical constituent Recursive Systematic Convolutional RSC encoders with an interlea
7、ver preceding the second constituent encoder as shown in Fig.1a and turbo decoding principle is shown in Fig.1b 4a. Turbo encoderb. Turbo decoderFig.1 A typical turbo code system 4 For almost all simulated services and environments, the turbo code implementation of the considered service shows a gai
8、n of approximately 1 to 3dB compared to the concatenated codes and the performance within 0.5dB of the Shannon limit has the bit error probability of 10-6 3, which come the closest to approaching the Shannon limit. The main drawbacks are the relatively high decoding complexity and latency. Thus, tur
9、bo coding may unsuitable for some applications like digital telephony and optical transmission applications, but it still useful where information transfer is not time-sensitive, such as satellite applications. The sensitivity of Turbo Codes to prediction errors may cause the system to produce much
10、less favourable results than expected. Currently in 4G systems, the advanced coding schemes include concatenated codes and low-density-parity-check LDPC codes. The 4G providers of advanced cellular technology in FEC Forward Error Correction are adopting Concatenated Coding which has the capability o
11、f multiple QoS Quality of Service levels. It prefers to adopt Concatenated Coding to Convolution Coding method because Concatenated Coding combines of two or more coding techniques, such as a Reed-Solomon and a Convolution Code so that the system has more transition capacity and less BER. This combi
12、nation improves error correction and combines error correction with error detection. However, it also adds the complexity of the system 1 Low-density parity-check LDPC codes forecast for 4G systems because of their excellent error correction performance and highly parallel decoding scheme. It can ac
13、hieve high quality of data transmission with the comparatively low coding and decoding complexity. 3. Modulation techniquesFrom a modulation perspective, current 3G wide-band code-division multiple-access CDMA systems mainly use M-ary quadrature amplitude modulation M-QAM which modifies both the pha
14、se and amplitude to generate communications symbols, for high-speed downlink packet access HSPDA due to its high spectral efficiency 5. In terms of power efficiency, QAM is superior to M-ary PSK. Table 1 lists the bandwidth and power efficiencies of a QAM signal for several of M, assuming optimum ra
15、ised cosine rolloff filtering in AWGN 6.M4166425610244096B123456Eb/N0 for BER10-610.51518.5242833.5Table 1. Bandwidth and Power Efficiency of QAM 6 Thus, it can be seen that the increased density will create a higher propensity for errors. The use of dense signal constellation is usually restricted
16、to short range transmissions over relatively “clean” channels 1 Usually a fixed modulation technique cannot achieve the best spectral efficiency because the system has to be built with a modulation scheme considering the worst case scenario. Future 4G modulation scheme is changed dynamically based o
17、n the current channel estimates. Adaptive modulation and coding techniques AMC are key to 4G success in achieving higher data rates. The principle of AMC is to change the modulation and coding format transport format according to instantaneous variations in the channel conditions, subject to system
18、restrictions. AMC extends the systems ability to adapt to good channel conditions and makes it closer to reach the Shannon limit. For a system with AMC, users close to the cell site are typically assigned higher order modulation with higher code rates e.g. 64 QAM with R3/4 Turbo Codes. On the other
19、hand, users close to the cell boundary, are assigned lower order modulation with lower code rates e.g. QPSK with R1/2 Turbo Codes 7 Adaptive modulation based M-ary PSK, M-ary QAM, M-ary CPM continuous phase modulation, M-ary MHPM and GMSK systems applied to a Turbo coded MCCDMA system has been sugge
20、sted for use in 4G. Fig.2 and Fig.3 show the BER performance of all these digital modulation techniques having been compared under a Rayleigh fast fading channel environment. Fig. 2 BER performance of 16 QAM based MC-CDMA system for a given number of CDMA users 8.Fig. 3 BER performance of 8PSK based
21、 MC-CDMA system for a given number of CDMA users 8.Fig.4 BER performance of a 4QAM QPSK and b 2QAM BPSK based MC-CDMA system for a given number of CDMA useres 8 These simulation results Fig.2 through 4 of BER performance under different channel conditions and different number of CDMA users are prere
22、quisite to the deloyment of adaptibe modulation based system. It clearly shows higher order modulation formats and a higher spectral efficiency need better channel conditions and poorer channel conditions need lower-order modulations 8.4. Signal processing With the demand of higher data rates, 3G lo
23、ng-term-evolution 3G-LTE specifications will require complex signal-processing techniques such as multiple-input, multiple-output MIMO along with new radio modulation technologies like orthogonal frequency-division multiple access OFDMA and multicarrier code-division multiple access MC-CDMA, specifi
24、cally, using OFDMA for the downlink and SC-FDMA for the uplink due to its low PAPR properties 9. In 3G cellular systems, MIMO is being widely considered for CDMA2000 3GPP2 and WCDMA 3GPP 10. MIMO is a smart antenna system that incorporates multiple antennas at the input and/or output. It allows data
- 配套讲稿:
如PPT文件的首页显示word图标,表示该PPT已包含配套word讲稿。双击word图标可打开word文档。
- 特殊限制:
部分文档作品中含有的国旗、国徽等图片,仅作为作品整体效果示例展示,禁止商用。设计者仅对作品中独创性部分享有著作权。
- 关 键 词:
- TechnologiesMigrationfrom3Gto4G 英文 论文

链接地址:https://www.31ppt.com/p-2329986.html