Title
On the Throughput Maximization in Dencentralized Wireless Networks
Abstract
A distributed single-hop wireless network with K links is considered, where the links are partitioned into a fixed number ( M ) of clusters each operating in a subchannel with bandwidth W M. The subchannels are assumed to be orthogonal to each other. A general shadow-fading model, described by parameters (α, ̟), is considered where α denotes the probability of shadowing and ̟ (̟ ≤ 1) represents the average cross-link gains. The main goal of this paper is to find the maximum network throughput in the asymptotic regime of K → ∞, which is achieved by: i) proposing a distributed and non-iterative p ower allocation strategy, where the objective of each user is to maximize its best estimate (based on its local informat ion, i.e., direct channel gain) of the average network throughput, and ii) choosing the optimum value for M. In the first part of the paper, the network throughput is defined as the average sum-rate of the network, which is shown to scale as �(log K). Moreover, it is proved that in the strong interference scenario, the optimum power allocation strategy for each user is a threshold-based on-off scheme. In the second part, the network throughput is defined as the guaranteed sum-rate, when the outage probability approaches zero. In this scenario, it is demons trated that the on-off power allocation scheme maximizes
Year
Venue
Keywords
2008
Clinical Orthopaedics and Related Research
information theory,index terms,wireless network
Field
DocType
Volume
Cluster (physics),Wireless network,Computer science,Computer network,Communication channel,Throughput maximization,Bandwidth (signal processing),Maximum throughput scheduling,Throughput,Channel gain
Journal
abs/0810.2
Citations 
PageRank 
References 
3
0.38
30
Authors
4
Name
Order
Citations
PageRank
Jamshid Abouei118620.42
Alireza Bayesteh233724.21
Masoud Ebrahimi3314.24
Amir K. Khandani467475.15