Listening Interval Spreading Approach (LISA) for Handling Burst Traffic in IEEE 802.16e Wireless Metropolitan Area Networks

Abstract

The mobile wireless metropolitan area network (WMAN) architecture imposes a demanding power management requirement on mobile stations (MSs) in order to prolong the lifetime of MS. The base station (BS) will functionally serve as a buffer for non-real-time traffic distribution to the multiple MSs associated with it, and thus naturally provide MSs with the power saving capability. However, the power management scheme in IEEE 802.16e standard, which was designed for handling sleep pattern of non-real-time traffic, often use timeout approach to trigger sleep mode, as a certain idle time prior entering sleep mode will render a potential latency and limit the overall power saving capacity. Moreover, the fast growing sleeping window would cause long packet reception delay. As a solution, we propose a new scheme, namely listening interval spreading approach (LISA), which redistributes the idle periods and a number of interim listening periods in order to reduce the response time of interactive traffic, such as HTTP applications. As confirmed by the performance evaluation, the proposed LISA can achieve significant response time reduction as well as better power saving efficiency than standard.

Integrated load-based power saving for BS and MSS in the IEEE 802.16e network

“…In , the UGS traffic with QoS delay constraint was considered, and an extended work of type II was proposed for multiple MSSs by adopting the idea of reusing the idle fragmentation of the allocated orthogonal frequency‐division multiplexing frames to balance power saving and bandwidth utilization. In , the idea of Listening Interval Spreading Approach was proposed to combine type I and II schemes, in which the idle time and part of listening intervals in the beginning sleep period are redistributed by using the concept of type II scheme to reduce packet delay, and subsequent periods still use type I scheme to conserve power. In , on the basis of type II, the authors proposed an algorithm, namely tank‐filling algorithm, that regards the resources of the BS as a sequence of periodical tanks, to assign the sleep cycles of MSSs with the least number of active frames according to delay bounds.…”

“…Most of the researchers in IEEE 802.16e power saving focused on standard type I or II. Related issues in the literature include performance modeling and analysis , enhancement of standard PSC , technique dealing with multiple connections and service types , and novel power‐saving schemes . In addition to power saving at a mobile subscriber station ( MSS ), the idea of a green base station ( BS ) has also attracted some attention, because the power consumption at BS or access point (AP) is much more than at MSS.…”