Joint User Scheduling, Precoder Design, and Transmit Direction Selection in MIMO TDD Small Cell Networks

Autor: Sandra Lagen, Adrian Agustin, Josep Vidal
Přispěvatelé: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
Rok vydání: 2017
Předmět:
Computer science
Real-time computing
MIMO
Duplex (telecommunications)
Precoder design
Power allocation
050801 communication & media studies
02 engineering and technology
Dynamic priority scheduling
Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica [Àrees temàtiques de la UPC]
Precoding
MIMO systems
Scheduling (computing)
0508 media and communications
Telecommunications link
0202 electrical engineering
electronic engineering
information engineering

Electronic engineering
5G short-length single-direction frame structure
User scheduling
Sistemes MIMO
Electrical and Electronic Engineering
Small cell networks
Applied Mathematics
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
05 social sciences
020206 networking & telecommunications
Transmit direction selection
Computer Science Applications
Dynamic TDD
Small cell
5G
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
ISSN: 1536-1276
DOI: 10.1109/twc.2017.2664837
Popis: ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. New short-length single-direction frame structures are proposed for 5G time division duplex (TDD) systems, where the transmit direction [i.e., either downlink (DL) or uplink (UL)] can be independently chosen at each cell in every frame. Accordingly, high flexibility is provided to match the per-cell DL/UL traffic asymmetries and full exploitation of dynamic TDD is allowed. As a downside, interference management becomes crucial. In this regard, this paper proposes a procedure for dynamic TDD in dense multiple-input multiple-output small cell networks, where the transmit direction selected per small cell (SC) is dynamically optimized together with the user scheduling and transmit precoding. We focus on the maximization of a general utility function that takes into account the DL/UL traffic asymmetries of each user and the interference conditions in the network. Although the problem is non-convex, it is decomposed thanks to the interference-cost concept and then efficiently solved in parallel. Simulation results show gains in DL and UL average rates for different traffic asymmetries and SC/user densities as compared to existing dynamic TDD schemes thanks to the proposed joint optimization. The gains become more significant when there is high interference and limited number of antennas.
Databáze: OpenAIRE