Optimizing downlink throughput with user cooperation and scheduling in adaptive cellular networks

A downlink and throughput technology, applied in the direction of location diversity, advanced technology, wireless communication, etc., can solve problems such as not considering the system prospect, not considering the effect of user scheduling, spectrum loss, etc.

Active Publication Date: 2010-05-05
LINGNA HLDG PTE
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For example, multiple cooperating users using multiple antennas have been considered; however, all existing systems only focus on the performance and operation of fixed source and destination pairs without considering

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  • Optimizing downlink throughput with user cooperation and scheduling in adaptive cellular networks
  • Optimizing downlink throughput with user cooperation and scheduling in adaptive cellular networks
  • Optimizing downlink throughput with user cooperation and scheduling in adaptive cellular networks

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Embodiment Construction

[0021] overview

[0022] As mentioned in the background, user collaboration is an emerging transmission framework where users act as relays for each other in order to provide additional diversity paths for better overall performance than without the additional diversity paths. However, existing methods only focus on the physical layer characteristics and the operation of a fixed source and destination pair at a specific time. Accordingly, improved scheduling strategies over current user cooperation techniques employed by conventional cellular networks are desired.

[0023] Considering the shortcomings of the state of the art as described in the background, in various embodiments described herein, user cooperation and scheduling are used to optimize downlink throughput for an adaptive cellular network. Several commonly used cooperative strategies are evaluated under different fairness constraints, and DF protocols are not shown to be able to provide any capacity gain over thei...

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Abstract

User cooperation is an emerging transmission framework where users act as relays of each other to provide extra diversity paths for better overall performance. In various embodiments, systems and methods for transmitting data from a basestation to a mobile device in an adaptive communications network including user cooperation are provided. Among various embodiments, relaying is performed according to a time division duplex (TDD) system according to either a downlink-assisted relaying (DAR) which performs a relaying operation in a defined supplemental downlink timeslot or according to an uplink-assisted relaying (UAR) which performs a relaying operation in a defined supplemental uplink timeslot. Among other embodiments, relay transmissions according to a max-throughput scheduling algorithm which achieves a maximum system throughput without imposing any fairness constraints on users or according to a round-robin scheduling algorithm which achieves absolute fairness in terms of delays among the considered users. The downlink throughput is optimized from the basestation to the mobile device utilizing either amplify-and-forward (AF) or decode-and-forward (DF) cooperation protocols.

Description

technical field [0001] The subject disclosure relates to optimization of downlink throughput with user cooperation and scheduling in adaptive cellular networks. Background technique [0002] Recently, there has been increasing interest in user collaboration, where additional spatial diversity can be achieved by allowing users to relay each other's messages to destinations. Traditionally, user cooperation has been proposed for improving the capacity of cellular networks, and user cooperation has been closely related to transmission in relay channels. Since then, several efficient collaborative protocols have been developed on the idea of ​​general relay networks. For example, multiple cooperative users using multiple antennas have been considered; however, all existing systems only focus on the performance and operation of fixed source and destination pairs without considering more advanced system perspectives. For example, the effect of user scheduling has not been conside...

Claims

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Application Information

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IPC IPC(8): H04W72/12H04W88/04H04W40/22
CPCH04W88/04H04W40/22H04B7/026H04W72/1257H04B7/15542Y02D30/70H04W72/535H04W88/08H04B7/155
Inventor 卢思远卡莱德·本莱泰夫
Owner LINGNA HLDG PTE
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