Performance of MIMO over SUI channels for IEEE 802.16 networks
03 Jan 2012-pp 325-336
TL;DR: Evaluation of Bit Error Rate (BER) performance of various MIMO techniques for 2×2 and 4×4 antenna configurations, over SUI channel models and encoding and decoding equations for Space-Time Block Code (STBC) and Spatial Multiplexing for frequency selective channels are presented.
Abstract: Stanford University Interim (SUI) channel model has been proposed for simulations, design, development and testing of technologies suitable for IEEE 802.16 networks. SUI channel model proposes a set of six empirical time-dispersive channels for three typical terrain types. Most of the simulation studies for IEEE 802.16 networks involving Multi-Input Multi-Output (MIMO), either use a flat fading channel model or adopt an existing analytical/standard model, such as Kronecker model, 3GPP, IEEE 802.11 Broadband wireless models, and Pedestrian model A-B. Although this reduces the complexity of the channel models, it results in lower accuracy. This paper presents the evaluation of Bit Error Rate (BER) performance of various MIMO techniques for 2×2 and 4×4 antenna configurations, over SUI channel models. The encoding and decoding equations for Space-Time Block Code (STBC) $\mathcal{G}4$ and Spatial Multiplexing (SM) for frequency selective channels are also presented.
Citations
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01 Dec 2013
TL;DR: In this article, the authors proposed a computationally efficient method for time synchronization in MIMO-OFDM systems while achieving promising performance in a variety of channels, including white Gaussian (AWGN), exponential decomposition and Stanford University Interim (SUI) channel models.
Abstract: This paper proposes computationally efficient method for Time Synchronization in MIMO-OFDM systems while achieving promising performance in a variety of channels. The system followed IEEE WiMAX standard 802.16d preamble structure for performing the time synchronization. Results are presented for White Gaussian (AWGN), Exponential Decaying and Stanford University Interim (SUI) channel models. SUI channel models are more suitable for testing broadband access systems such as WiMax. Bit Error performance curves of proposed technique are compared with perfect time synchronization.
1 citations
01 Nov 2013
TL;DR: The analytical BER results show that OFCDM has performed much better than OFDM in all SUI channels, and results will be obtained in worst case scenario in the presence of noise and MCI.
Abstract: Advancements in the technology of multimedia and mobile communication system demands high data rate transmission especially in the downlink. OFDM provides the high data rate transmission with simple detection scheme but it does not provide frequency diversity. CDMA provides frequency diversity but it is not suitable in multipath interference. Orthogonal frequency and code division multiplexing (OFCDM) is getting popular transmission technique due to some of its advantages over OFDM and CDMA. It provides spreading in time and frequency domain which increases the symbols redundancy, hence increase in reliability. It also provides variable transmission rates by employing variable spreading factor (VSF) in frequency and time domain spreading. This paper presents the performance analysis of OFCDM for fixed wireless applications. Performance in term of bit error rate (BER) is compared between OFCDM and OFDM in six SUI channels. The analytical BER results show that OFCDM has performed much better than OFDM in all SUI channels. The equalizer at the receiver is characterized by zero forcing technique without multi-code interference (MCI) cancellation. So results will be obtained in worst case scenario in the presence noise and MCI.
Cites background from "Performance of MIMO over SUI channe..."
...Due to high data rate transmission provided by OFDM, it is chosen to be part of current standards such as IEEE 802.11(WLAN), IEEE 802.16 (WiMAX), LTE and DVB-T....
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...Both LTE and mobile WiMAX are in competition to approach for data rate of 1 Gb/s....
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...SUI channels are designed for this purpose and performance of WiMAX [10]-[11] is heavily studied under these channel models....
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...[11] Xuetao Dong; Xianzhong Xie; Xin Chen, "Joint Channel Estimation for WiMAX by Preamble and Uneven Pilots," Wireless Communications, Networking and Mobile Computing, 2007....
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References
More filters
AT&T1
TL;DR: This paper presents a simple two-branch transmit diversity scheme that provides the same diversity order as maximal-ratio receiver combining (MRRC) with one transmit antenna, and two receive antennas.
Abstract: This paper presents a simple two-branch transmit diversity scheme. Using two transmit antennas and one receive antenna the scheme provides the same diversity order as maximal-ratio receiver combining (MRRC) with one transmit antenna, and two receive antennas. It is also shown that the scheme may easily be generalized to two transmit antennas and M receive antennas to provide a diversity order of 2M. The new scheme does not require any bandwidth expansion or any feedback from the receiver to the transmitter and its computation complexity is similar to MRRC.
13,706 citations
"Performance of MIMO over SUI channe..." refers background or methods in this paper
...One of its salient features is the support of Multi-Input Multi-Output (MIMO) [1] techniques....
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...SD [1–3] refers to the family of techniques that exploits the independent fading in the multiple antenna links to improve signal diversity....
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...For various modulation schemes, we simulate STBC and SM for 2×2 [1] and 4×4 antenna configurations over frequency selective SUI channels....
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...Also, the performance has been studied only for a 2×2 Alamouti [1] diversity scheme....
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Book•
01 Jan 1999TL;DR: It is shown that using multiple transmit antennas and space-time block coding provides remarkable performance at the expense of almost no extra processing.
Abstract: We document the performance of space-time block codes, which provide a new paradigm for transmission over Rayleigh fading channels using multiple transmit antennas. Data is encoded using a space-time block code, and the encoded data is split into n streams which are simultaneously transmitted using n transmit antennas. The received signal at each receive antenna is a linear superposition of the n transmitted signals perturbed by noise. Maximum likelihood decoding is achieved in a simple way through decoupling of the signals transmitted from different antennas rather than joint detection. This uses the orthogonal structure of the space-time block code and gives a maximum likelihood decoding algorithm which is based only on linear processing at the receiver. We review the encoding and decoding algorithms for various codes and provide simulation results demonstrating their performance. It is shown that using multiple transmit antennas and space-time block coding provides remarkable performance at the expense of almost no extra processing.
1,958 citations
"Performance of MIMO over SUI channe..." refers background or methods in this paper
...We derive the encoding and decoding equations for STBC G4 [7] and SM 4×4 for frequency selective channels....
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...2 Related Work Tarokh et al [7] document the performance of STBC over Rayleigh fading channels....
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...3, for matrix G4 for flat fading channels has been discussed in [7]....
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28 Apr 1996
TL;DR: Simulation results are compared to, and shown to be superior to, that of an intentional frequency offset system over a wide range of system parameters.
Abstract: Transmitter diversity wireless communication systems over Rayleigh fading channels using pilot symbol assisted modulation (PSAM) are studied. Unlike conventional transmitter diversity systems with PSAM that estimate the superimposed fading process, we are able to estimate each individual fading process corresponding to the multiple transmitters by using appropriately designed pilot symbol sequences. With such sequences, special coded modulation schemes can then be designed to access the diversity provided by the multiple transmitters without having to use an interleaver or expand the signal bandwidth. The code matrix notion is introduced for the coded modulation scheme, and its design criteria are also established. In addition to the reduction in receiver complexity, simulation results are compared to, and shown to be superior to, that of an intentional frequency offset system over a wide range of system parameters.
694 citations
Patent•
21 Feb 1992TL;DR: In this paper, a method and apparatus for increasing the capacity of wireless broadcast communications system from a central studio to a plurality of users in a service area is disclosed, where the high-rate signal is split into several low-rate signals such that each can be accommodated within the allocated bandwidth.
Abstract: A method and apparatus for increasing the capacity of wireless broadcast communications system from a central studio to a plurality of users in a service area is disclosed. Given a source signal whose high information rate exceeds the practical information carrying capacity of the available broadcast channel bandwidth, the invention increases the effective capacity of the broadcast system to effectively communicate such a source signal. The high-rate signal is split into several low-rate signals such that each can be accommodated within the allocated bandwidth. These low-rate signals are transmitted from spatially separated transmitters, all radiating into the service area in the same frequency channel. Each receiver uses a plurality of antennas to receive these multiple cochannel signals that arrive from different directions-of-arrival. The receiver exploits the directions-of-arrival differences of these cochannel signals to separate them into the individually transmitted signals. The separated signals are then demodulated to extract the information signals which are then combined to obtain the original high-rate source signal. Thus, the broadcast information capacity can be increased several-fold.
382 citations
18 Jun 2000
TL;DR: It is shown that with two transmit and one receive antenna, the same diversity can be achieved as with one transmit and two receive antennas, and this new proposed scheme achieves full diversity for channels with intersymbol interference.
Abstract: Alamouti (see Journal of Selective Communications, vol.16, no.8, p.1451-58, 1998) proposes a two branch transmit diversity scheme for channels without intersymbol interference. With two transmit antennas and one receive antenna the scheme provides second order diversity. In this paper we derive a new method which handles the corresponding case when the channel suffers from intersymbol interference. The intersymbol interference can be caused by partial response modulation and/or delay spread in the propagation channel. As in Alamouti's paper, we show that with two transmit and one receive antenna, the same diversity can be achieved as with one transmit and two receive antennas. This new proposed scheme thus achieves full diversity for channels with intersymbol interference.
376 citations
"Performance of MIMO over SUI channe..." refers background in this paper
...where hm,j(q) represents a non-causal realization [11] of the filter given by Eq....
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