Adaptive MMSE maximum likelihood CDMA multiuser detection

Rapajic, P.B.; Borah, Deva K.

doi:10.1109/49.814823

Cited by 45 publications

(40 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We observe in passing that the concept of an adaptive receiver was examined previously by several authors (see, e.g., [20] and references therein), while the effects on analysis of a dynamic model were touched upon, among others, by the authors of [3], [7], [16], [17].…”

Section: B Consideration Of a Dynamic Environmentmentioning

confidence: 99%

See 1 more Smart Citation

Multiuser Detection in a Dynamic Environment– Part I: User Identification and Data Detection

Biglieri

Lops

2007

IEEE Trans. Inform. Theory

View full text Add to dashboard Cite

Abstract-In random-access communication systems, the number of active users varies with time, and has considerable bearing on receiver's performance. Thus, techniques aimed at identifying not only the information transmitted, but also that number, play a central role in those systems. An example of application of these techniques can be found in multiuser detection (MUD). In typical MUD analyses, receivers are based on the assumption that the number of active users is constant and known at the receiver, and coincides with the maximum number of users entitled to access the system. This assumption is often overly pessimistic, since many users might be inactive at any given time, and detection under the assumption of a number of users larger than the real one may impair performance.The main goal of this paper is to introduce a general approach to the problem of identifying active users and estimating their parameters and data in a random-access system where users are continuously entering and leaving the system. The tool whose use we advocate is Random-Set Theory: applying this, we derive optimum receivers in an environment where the set of transmitters comprises an unknown number of elements. In addition, we can derive Bayesian-filter equations which describe the evolution with time of the a posteriori probability density of the unknown user parameters, and use this density to derive optimum detectors. In this paper we restrict ourselves to interferer identification and data detection, while in a companion paper we shall examine the more complex problem of estimating users' parameters.

show abstract

Section: B Consideration Of a Dynamic Environmentmentioning

confidence: 99%

“…A preliminary version of this paper was presented at WPMC 2006, San Diego, CA, September [17][18][19][20]2006. Ezio Biglieri was exposed to Random-Set Theory during his visit to the Institute for Infocomm Research, Singapore, in 2005.…”

Section: Acknowledgmentsmentioning

confidence: 99%

Multiuser Detection in a Dynamic Environment– Part I: User Identification and Data Detection

Biglieri

Lops

2007

IEEE Trans. Inform. Theory

View full text Add to dashboard Cite

show abstract

“…Recent advances in multiuser detection (MUD) techniques [1] open up new opportunities for resolving collisions in the physical (PHY) layer. For example, in CDMA [2] or multiple-antenna [3] systems, multiple packets can be received simultaneously using MUD techniques without collisions. It is expected that with improved multipacket reception (MPR) capability from the PHY layer, the MAC layer will behave differently from what is commonly believed.…”

Section: Motivationmentioning

confidence: 99%

How Does Multiple-Packet Reception Capability Scale the Performance of Wireless Local Area Networks?

Zhang

Zheng

Liew

2009

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

Abstract-Due to its simplicity and cost efficiency, wireless local area network (WLAN) enjoys unique advantages in providing highspeed and low-cost wireless services in hot spots and indoor environments. Traditional WLAN medium-access-control (MAC) protocols assume that only one station can transmit at a time: simultaneous transmissions of more than one station cause the destruction of all packets involved. By exploiting recent advances in PHY-layer multiuser detection (MUD) techniques, it is possible for a receiver to receive multiple packets simultaneously. This paper argues that such multipacket reception (MPR) capability can greatly enhance the capacity of future WLANs. In addition, the paper provides the MAC-layer and PHY-layer designs needed to achieve the improved capacity. First, to demonstrate MPR as a powerful capacity-enhancement technique, we prove a "superlinearity" result, which states that the system throughput per unit cost increases as the MPR capability increases. Second, we show that the commonly deployed binary exponential backoff (BEB) algorithm in today's WLAN MAC may not be optimal in an MPR system, and the optimal backoff factor increases with the MPR capability, the number of packets that can be received simultaneously. Third, based on the above insights, we design a joint MAC-PHY layer protocol for an IEEE 802.11-like WLAN that incorporates advanced PHY-layer signal processing techniques to implement MPR.

show abstract

“…With the advent of CDMA [3] and multiple-antenna [4] techniques, it is no longer a physical constraint for the channel to accommodate only one ongoing transmission. For example, we previously proposed an 802.11-like protocol to support MPR in wireless local area networks, where the AP has multiple antennas and is capable of receiving multiple packets simultaneously [5].…”

Section: Mutipacket Receptionmentioning

confidence: 99%