Title :
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
fDate :
3/1/2000 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
