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

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...

AI Technical Summary

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 more advanced system perspectives

For example, the effect of user scheduling has not been considered

Additionally, traditional relay protocols typically require dedicated relay slots, potentially causing spectrum loss

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