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ABSTRACT: A backhaul network in mobile wireless systems consists of lower-level base stations (BSs) and upper-level access routers (ARs).
While the legacy model considers only a queue at a BS for downstream traffic, we focus on queues at both the BS and the AR,
hence calling it the split two-level queueing (S-2Q) model. The transmission rate of the backhaul link between a BS and an AR can be adjusted to stablize the BS queue. We develop a
queue-aware rate control algorithm for the backhaul link such that BS queues will suffer neither buffer overflow nor underflow
due to drastic short-term variations in wireless channel condition. We then derive the stability conditions of BS queues and
propose two strategies, each applicable to handoff and normal (non-handoff) users separately. For handoff users, it is desirable
that the BS queue buffers as few packets as possible to improve handoff performance. For normal users, it is desirable that
the BS queue buffers as many packets as possible to exploit multiuser diversity of opportunistic scheduling. Our in-depth
simulation results have shown that the proposed algorithm stabilizes the BS queue for normal users and reduces handoff latency
to 0.8 second from 3 seconds for handoff users.
KeywordsBackhaul networks–Wireless mobile networks–Queueing–Rate control
Wireless Personal Communications 04/2012; 60(1):125-143. · 0.46 Impact Factor
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Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011, Seoul, Republic of Korea, February 21 - 23, 2011; 01/2011
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[show abstract]
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ABSTRACT: A backhaul network in mobile wireless systems consists of lower-level base stations (BSs) and upper-level access routers (ARs). While the legacy model considers only a queue at a BS for downstream traffic, we focus on queues at both the BS and the AR, hence calling it the split two-level queueing (S-2Q) model. The transmission rate of the backhaul link between a BS and an AR can be adjusted to stablize the BS queue. We develop a queue-aware rate control algorithm for the backhaul link such that BS queues will suffer neither buffer overflow nor underflow due to drastic short-term variations in wireless channel condition. We then derive the stability conditions of BS queues and propose two strategies, each applicable to handoff and normal (non-handoff) users separately. For handoff users, it is desirable that the BS queue buffers as few packets as possible to improve handoff performance. For normal users, it is desirable that the BS queue buffers as many packets as possible to exploit multiuser diversity of opportunistic scheduling. Our simulation results have shown that the proposed algorithm stabilizes the BS queue for normal users and reduces handoff latency to 0.8 second from 3 seconds for handoff users.
Ubiquitous and Future Networks (ICUFN), 2010 Second International Conference on; 07/2010