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Computer Science > Information Theory

arXiv:cs/0701002 (cs)
[Submitted on 2 Jan 2007]

Title:Relay Assisted F/TDMA Ad Hoc Networks: Node Classification, Power Allocation and Relaying Strategies

Authors:Semih Serbetli, Aylin Yener
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Abstract: This paper considers the design of relay assisted F/TDMA ad hoc networks with multiple relay nodes each of which assists the transmission of a predefined subset of source nodes to their respective destinations. Considering the sum capacity as the performance metric, we solve the problem of optimally allocating the total power of each relay node between the transmissions it is assisting. We consider four different relay transmission strategies, namely regenerative decode-and-forward (RDF), nonregenerative decode-and-forward (NDF), amplify-and-forward (AF) and compress-and-forward (CF). We first obtain the optimum power allocation policies for the relay nodes that employ a uniform relaying strategy for all nodes. We show that the optimum power allocation for the RDF and NDF cases are modified water-filling solutions. We observe that for a given relay transmit power, NDF always outperforms RDF whereas CF always provides higher sum capacity than AF. When CF and NDF are compared, it is observed that either of CF or NDF may outperform the other in different scenarios. This observation suggests that the sum capacity can be further improved by having each relay adopt its relaying strategy in helping different source nodes. We investigate this problem next and determine the optimum power allocation and relaying strategy for each source node that relay nodes assist. We observe that optimum power allocation for relay nodes with hybrid relaying strategies provides higher sum capacity than pure RDF, NDF, AF or CF relaying strategies.
Comments: 26 pages, 1 table, 9 figures
Subjects: Information Theory (cs.IT)
Cite as: arXiv:cs/0701002 [cs.IT]
  (or arXiv:cs/0701002v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.cs/0701002

Submission history

From: Semih Serbetli [view email]
[v1] Tue, 2 Jan 2007 12:14:26 UTC (148 KB)
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