TY - GEN
T1 - Traffic adaptation for small cell networks with dynamic TDD
AU - Sun, Hongguang
AU - Sheng, Min
AU - Wildemeersch, Matthias
AU - Quek, Tony Q.S.
AU - Li, Jiandong
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61231008, Grant 61301176, and Grant 91338114, in part by the 111 Project under Grant B08038, in part by the National SandT Major Project under Grant 2015ZX03004004, in part by the Fundamental Research Funds for the Central Universities under Grant XJS16036, and Grant JB160103, in part by the ASTAR SERC under Grant 1224104048, in part by the SUTD-ZJU Research Collaboration under Grant SUTDZJU/ RES/01/2014, and in part by the MOE ARF Tier 2 under Grant MOE2015-T2-2-104
Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - The traffic in current wireless networks exhibits large variations in uplink (UL) and downlink (DL), which brings huge challenges to network operators in efficiently allocating radio resources. Dynamic time-division duplex (TDD) is considered as a promising scheme to flexibly adjust resource allocation based on UL and DL traffic demands, known as traffic adaptation. In this work, we study how traffic adaptation decreases cell service time and improves energy efficiency (EE) in small cell networks operating dynamic TDD. According to different UL and DL traffic parameters, we classify small cells into K ≥ 1 types, and accommodate the UL/DL configuration for each type of small cells with the objective to minimize the cell service time and maximize the network EE. In comparison with semi-static TDD scheme, dynamic TDD is shown to achieve larger service time gain as the traffic asymmetry between small cells increases. In summary, the proposed analytical framework allows us to elucidate the benefit of traffic adaptation to service time and EE in future dense networks with dynamic TDD.
AB - The traffic in current wireless networks exhibits large variations in uplink (UL) and downlink (DL), which brings huge challenges to network operators in efficiently allocating radio resources. Dynamic time-division duplex (TDD) is considered as a promising scheme to flexibly adjust resource allocation based on UL and DL traffic demands, known as traffic adaptation. In this work, we study how traffic adaptation decreases cell service time and improves energy efficiency (EE) in small cell networks operating dynamic TDD. According to different UL and DL traffic parameters, we classify small cells into K ≥ 1 types, and accommodate the UL/DL configuration for each type of small cells with the objective to minimize the cell service time and maximize the network EE. In comparison with semi-static TDD scheme, dynamic TDD is shown to achieve larger service time gain as the traffic asymmetry between small cells increases. In summary, the proposed analytical framework allows us to elucidate the benefit of traffic adaptation to service time and EE in future dense networks with dynamic TDD.
UR - http://www.scopus.com/inward/record.url?scp=85015431730&partnerID=8YFLogxK
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U2 - 10.1109/GLOCOM.2016.7842350
DO - 10.1109/GLOCOM.2016.7842350
M3 - Conference contribution
AN - SCOPUS:85015431730
T3 - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
BT - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th IEEE Global Communications Conference, GLOBECOM 2016
Y2 - 4 December 2016 through 8 December 2016
ER -
