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An efficient bandwidth sharing strategy through users' cooperation for multirate networks
Author(s) -
ElGanainy Noha O.,
ElKhamy Said E.
Publication year - 2013
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1002/2013rs005195
Subject(s) - computer science , bandwidth (computing) , computer network , relay , quality of service , transmission (telecommunications) , interference (communication) , bandwidth allocation , real time computing , power (physics) , telecommunications , channel (broadcasting) , physics , quantum mechanics
This paper adopts an efficient strategy that allocates the network resources to the users according to the transmission rate requirement. Based on cooperation and the use of variable length spreading codes, the terminals requiring high transmission rate are supported by larger bandwidth and power in order to enhance their quality of service. The proposed resource allocation strategy assigns the terminals with low transmission rate to cooperate with those with high transmission rate by dedicating a part of their bandwidth and power to either relay their data or send a part of it. This will result in a slight limitation on the performance of the cooperating terminals (low rate). Two proposed schemes are presented namely the relaying strategy and re‐allocation strategy. These strategies are evaluated against the commonly used rate‐matching algorithm which constrains the terminals to fairly share the bandwidth regardless of the transmission rate. The proposed receiver is simple and efficient and the utilized spreading codes provide signal separation and limit multiple access interference MAI. In a CDMA‐based framework supporting multirate transmissions, a thorough performance assessment in terms of the error probability and the probability of outage is discussed for the considered strategies under different transmission conditions. The proposed strategies enhance the performance of the high rate user compared to the rate‐matching algorithm and slightly hold back the low rate user performance. Moreover, the re‐allocation strategy enhances the system capability to support higher transmission rate at no additional cost.

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