DocumentCode :
960366
Title :
Leveraging Downlink for Efficient Uplink Allocation in a Single-Hop Wireless Network
Author :
Price, Jennifer ; Javidi, Tara
Author_Institution :
Univ. of California San Diego, La Jolla
Volume :
53
Issue :
11
fYear :
2007
Firstpage :
4330
Lastpage :
4339
Abstract :
In this correspondence, we consider joint uplink and downlink rate allocations over a multiaccess/broadcast channel pair in a single-cell system. We assume a network of heterogeneous users, where the uplink utility of each user is held as private information and is unknown to the base station. The challenge is to design an optimal rate allocation scheme in the presence of such incomplete information when considering strategic users. Here, we provide an incentive-compatible mechanism that leverages downlink demand to ensure that users truthfully reveal their uplink utilities, enabling the socially optimal uplink rate allocation. In addition, we give numerical results on a kind of efficiency of downlink allocations for two specific uplink multiple-access channels (MACs): information theoretic additive white Gaussian noise (AWGN) , MAC, and code-division multiple-access (CDMA)-based uplink.
Keywords :
AWGN channels; broadcast channels; cellular radio; channel allocation; code division multiple access; game theory; radio links; radio networks; resource allocation; CDMA-based uplink; additive white Gaussian noise; base station; broadcast channel; code-division multiple-access; downlink leveraging; downlink rate allocations; game theory; incentive-compatible mechanism; information theoretic AWGN; multiaccess channel; optimal rate allocation scheme; single-cell system; single-hop wireless network; uplink data rate allocations; uplink multiple-access channels; AWGN; Additive white noise; Base stations; Broadcasting; Delay; Downlink; Multiaccess communication; Resource management; Telecommunication traffic; Wireless networks; Game theory; implementation in dominant strategies; mechanism design; rate control; utility maximization;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2007.907475
Filename :
4373425
Link To Document :
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