MIMO enabled efficient mapping of data in WiMAX networks

doi:10.1007/978-3-642-25959-3_29

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MIMO enabled efficient mapping of data in WiMAX networks

Book Chapter•DOI•

MIMO enabled efficient mapping of data in WiMAX networks

Penumarthi Phani Krishna¹, R. Saravana Manickam¹, C. Siva Ram Murthy¹•Institutions (1)

Indian Institute of Technology Madras¹

03 Jan 2012-pp 397-408

TL;DR: This paper proposes a cross layered mapping technique that exploits multiple antenna available at each MS that achieves higher throughput compared to the existing techniques while providing the same reliability.

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Abstract: MIMO techniques supported by IEEE 802.16 networks improve either throughput or reliability in the network. But these MIMO techniques do not always perform optimally, especially in the presence of high mobility. In this paper, we propose a cross layered mapping technique that exploits multiple antenna available at each MS. An optional error correction mechanism is proposed at the receiver to correct erroneously received signal. Finally, using extensive simulations we show that the proposed technique achieves higher throughput compared to the existing techniques while providing the same reliability. We also show that the proposed technique can be a stand alone technique and adaptive switching of MIMO techniques is not required.

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Citations

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Open Access

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IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

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Ieee Microwave Theory

01 Jan 2007

TL;DR: In this paper, the authors provide updates to IEEE 802.16's MIB for the MAC, PHY and asso-ciated management procedures in order to accommodate recent extensions to the standard.

...read moreread less

Abstract: This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

...read moreread less

1,481 citations

References

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Open Access

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Journal Article•DOI•

A simple transmit diversity technique for wireless communications

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Siavash Alamouti¹•Institutions (1)

AT&T¹

01 Oct 1998-IEEE Journal on Selected Areas in Communications

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.

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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.

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13,706 citations

"MIMO enabled efficient mapping of d..." refers background or methods in this paper

...WiMAX supports a variety of techniques such as Adaptive Modulation and Coding, Multiple Input Multiple Output (MIMO) to improve the achieved throughput of the network....
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...Alamouti coding [1] transmits data such that both original and conjugate forms of the data are transmitted across different antenna simultaneously....
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...Alamouti coding [1] is one of the frequently used antenna techniques to improve the reliability of the data transmitted....
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...An example of Transmit Diversity technique (Alamouti Coding [1]) is shown in Figure 2....
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Book•

Statistical Digital Signal Processing and Modeling

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Monson H. Hayes

19 Apr 1996

TL;DR: The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering.

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Abstract: From the Publisher: The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

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2,549 citations

"MIMO enabled efficient mapping of d..." refers background in this paper

...Kalman filter [5,13,14] efficiently estimates the noise in the received signal by measuring the noise from the previously received signals, and is adaptive in nature....
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...Weiner filter [5,13] is one of the stationary filters that statistically determines the effective channel state, and thus improves the SNR of the received signal by at least 2 dB [5]....
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An Introduction to the Kalman Filter

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Greg Welch, Gary Bishop

01 Jan 1995

TL;DR: The discrete Kalman filter as mentioned in this paper is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error.

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Abstract: In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. The Kalman filter is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspects: it supports estimations of past, present, and even future states, and it can do so even when the precise nature of the modeled system is unknown. The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a description and some discussion of the basic discrete Kalman filter, a derivation, description and some discussion of the extended Kalman filter, and a relatively simple (tangible) example with real numbers & results.

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2,121 citations

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

[...]

Ieee Microwave Theory

01 Jan 2007

TL;DR: In this paper, the authors provide updates to IEEE 802.16's MIB for the MAC, PHY and asso-ciated management procedures in order to accommodate recent extensions to the standard.

...read moreread less

Abstract: This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

...read moreread less

1,481 citations

"MIMO enabled efficient mapping of d..." refers background in this paper

...16 standard [2] targeted to provide Wireless Broadband connectivity with data rates supported up to several hundred Mbps and covering distances up to several kms....
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...The channel gain for a stream of data transmitted from an antenna in a 5 ms frame is constant [2] irrespective of the fading distributions....
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Journal Article•DOI•

Linear diversity combining techniques

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D. G. Brennan

29 Apr 2003

TL;DR: This paper provides analyses of three types of diversity combining systems in practical use: selection diversity, maximal-ratio diversity, and equal-gain diversity systems, finding that the simplest possible combiner will generally yield performance essentially equivalent to the maximum obtainable from any quasilinear system.

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Abstract: This paper provides analyses of three types of diversity combining systems in practical use. These are: selection diversity, maximal-ratio diversity, and equal-gain diversity systems. Quantitative measures of the relative performance (under realistic conditions) of the three systems are provided. The effects of various departures from ideal conditions, such as non-Rayleigh fading and partially coherent signal or noise voltages, are considered. Some discussion is also included of the relative merits of predetection and postdetection combining and of the problems in determining and using long-term distributions. The principal results are given in graphs and tables, useful in system design. It is seen that the simplest possible combiner, the equal-gain system, will generally yield performance essentially equivalent to the maximum obtainable from any quasilinear system. The principal application of the results is to diversity communication systems and the discussion is set in that context, but many of the results are also applicable to certain radar and navigation systems.

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1,004 citations

"MIMO enabled efficient mapping of d..." refers methods in this paper

...Receiver Diversity is a technique in which a signal is received across multiple antenna, and one of the receiver combining techniques among Maximum Ratio Combining, Selection Combining and Equal Gain Combining [3] is used to maximize the Signal to Noise Ratio (SNR) of the required transmitted signal....
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...These combining techniques [3] are used before the proposed technique is utilized....
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