Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network

In a heterogeneous wireless cellular network, each user may be covered by multiple access points such as macro/pico/relay/femto base stations (BS). An effective approach to maximize the sum utility (e.g., system throughput) in such a network is to jointly optimize users' linear procoders as wel...

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Vydáno v:	IEEE transactions on signal processing Ročník 61; číslo 12; s. 3214 - 3228
Hlavní autoři:	Hong, Mingyi, Luo, Zhi-Quan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.06.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Applied sciences Base station selection Cellular communication Covariance matrix Detection, estimation, filtering, equalization, prediction Economic models Exact sciences and technology Games heterogeneous networks Information, signal and communications theory Interference Joints MIMO Nash equilibrium Networks noncooperative gams Operations research Optimization Players precoder optimization Signal and communications theory Signal, noise Stations Studies Telecommunications and information theory Utilities Vectors heterogeneous networks Relay precoder optimization Utility function Base station Wireless telecommunication Information rate Nash equilibrium Cell network noncooperative gams Optimization Load balancing Uplink Mobile radiocommunication Multiple access Base station selection Coding circuit Teletraffic Information transmission Simulation Optimal solution Distributed algorithm NP hard problem Telecommunication network Signal processing Wireless network Traffic congestion
ISSN:	1053-587X, 1941-0476
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Popis
Shrnutí:	In a heterogeneous wireless cellular network, each user may be covered by multiple access points such as macro/pico/relay/femto base stations (BS). An effective approach to maximize the sum utility (e.g., system throughput) in such a network is to jointly optimize users' linear procoders as well as their BS associations. In this paper, we first show that this joint optimization problem is NP-hard and thus is difficult to solve to global optimality. To find a locally optimal solution, we formulate the problem as a noncooperative game in which the users and the BSs both act as players. We introduce a set of new utility functions for the players and show that every Nash equilibrium (NE) of the resulting game is a stationary solution of the original sum utility maximization problem. Moreover, we develop a best-response type algorithm that allows the players to distributedly reach a NE of the game. Simulation results show that the proposed distributed algorithm can effectively relieve local BS congestion and simultaneously achieve high throughput and load balancing in a heterogeneous network.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	1053-587X 1941-0476
DOI:	10.1109/TSP.2013.2252169