Network-assisted diversity for random access wireless networks

Author

Tsatsanis, Michail K. ; Zhang, Ruifeng ; Banerjee, Subrata

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA

Volume

48

Issue

3

fYear

2000

fDate

3/1/2000 12:00:00 AM

Firstpage

702

Lastpage

711

Abstract

A novel viewpoint to the collision resolution problem is introduced for wireless slotted random access networks. This viewpoint is based on signal separation principles borrowed from signal processing problems. The received collided packets are not discarded in this approach but are exploited to extract each individual user packet information. In particular, if k users collide in a given time slot, they repeat their transmission for a total of k times so that k copies of the collided packets are received. Then, the receiver has to resolve a k×k source mixing problem and separate each individual user. The proposed method does not introduce throughput penalties since it requires only k slots to transmit k colliding packets. Performance issues that are related to the implementation of the collision detection algorithm are studied. The protocol´s parameters are optimized to maximize the system throughput

Keywords

access protocols; cellular radio; diversity reception; multi-access systems; packet radio networks; radio networks; random processes; signal processing; collision detection algorithm; collision resolution problem; network-assisted diversity multiple access; performance; protocol parameters; random access wireless networks; selective retransmissions; signal processing; signal separation; source mixing problem; system throughput maximization; user packet information; wireless cellular services; wireless slotted random access networks; Bit rate; Data mining; Multiaccess communication; Signal processing; Signal resolution; Source separation; Throughput; Time division multiple access; Wireless networks; Wireless sensor networks;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.824666

Filename

824666