Efficient Resource Allocation in
Hybrid Wireless Networks
Benjamin Bengfort and Weiyi Zhang
Department of Computer Science
North Dakota State University
Fargo, North Dakota, 58102, USA
{benjamin.bengfort, weiyi.zhang}@ndsu.edu
Xiaojiang Du
Dept. of Computer and Information Sciences
Temple University
Philadelphia, Pennsylvania, 19122, USA
xjdu@temple.edu
Abstract— In this paper, we study an emerging type of wireless
network - Hybrid Wireless Networks (HWNs). A HWN consists
of an infrastructure wireless network (e.g., a cellular network)
and several ad hoc nodes (such as a Mobile ad hoc network).
Forming a HWN is a very cost-effective way to improve wireless
coverage and the available bandwidth to users. Specifically, in
this work we investigate the issue of bandwidth allocation in
multi-hop HWNs. We propose three efficient bandwidth
allocation schemes for HWNs: top-down, bottom-up, and
auction-based allocation schemes. In order to evaluate the
bandwidth allocation schemes, we develop a simulated HWN
environment. Our simulation results show that the proposed
schemes achieve good performance: the schemes can achieve
maximum revenue/utility in many cases, while also providing
fairness. We also show that each of the schemes has merit in
different application scenarios.
Keywords- Hybrid wireless networks; resource allocation;
fairness; profit maximizing allocation; bandwidth
I. INTRODUCTION
The combination of IEEE 802.11 Wi-Fi and 3G/4G cellular
networks could significantly increase the coverage and/or
bandwidth of mobile users while keeping additional costs low.
Bandwidth requirements continue to increase due to new,
bandwidth-hungry “apps” and the increasing computing
resource requirements of today's mobile devices. These
applications, including web browsing, VoIP, and streaming
media, require larger and larger amounts of bandwidth and
backbone infrastructure resource support, and therefore create
new challenges for today's wireless networks. Previously, it
was easy for network providers to allocate data channels for a
few laptops in predictable high usage areas. These users had a
distinct preference to hard line Internet connections, or local
wireless networks, which generally have a surplus of
bandwidth; so it was easy to predict the locations where the
most intense mobile wireless usage would be – areas like
airports and train stations where no (free) Wireless LANs
(WLANs) exist. Coffee shops and libraries already had free
WLANs (usually 802.11 Wi-Fi) connectivity; therefore urban
areas that contained these types of places were not high priority
for dedicated data channels. Now, modern wireless networks
provide “last mile” broadband connectivity, and must provide
multiple entry points into the wide area network, where there
are no clear geographic constraints like those that laptop users
faced.
Static wireless networks are necessarily constrained in their
ability to support the requirements of its users because of a
myriad of factors, including the mobile nature of those users,
limitations in resources across segments of the network and
routing inefficiencies between different devices [1].
Prioritizing an 802.11 connection over a 3G connection lowers
the burden on traditional cellular networks somewhat, but not
completely [2]. The emergence of a hybrid 802.11 and 802.16
network (e.g., Sprint 4G) to replace wired cable only means
that bandwidth allocation issues are still a priority. Other
services like Clear 802.16 4G for laptops (which also have
802.11 radios), show a trend that in the near future. The
emergence of Hybrid Wireless Networks (HWNs) is necessary
to accommodate the increasing wireless broadband demand,
and not only provide cost reduction for better coverage but also
to increase resource availability [3].
HWNs may achieve better performance by dynamic
network construction rather than stand alone static
infrastructure or ad hoc networking only. A HWN is a
combination of an infrastructure network (such as a WiMAX,
WLAN, or 3G Cellular networks) and ad hoc components (like
Mobile ad hoc networks). HWNs could expand infrastructure
coverage either horizontally (expanding coverage) [4] or
vertically (expanding bandwidth) [5] at a low cost. HWNs
provide mobile users the benefits of several types of networks-
bandwidth, coverage, and mobility in a seamless fashion.
Most existing papers on HWNs did not study the resource
allocation issue, but rather only discussed how hybridization
could improve bandwidth availability [6]. A number of papers
proposed resource allocation schemes for a non-hybrid context,
for example, agent-based approaches as in [7]; micro-economic
or game theoretic approaches as in [8], [9], and [10]; or via
some min-max algorithms for certain network metric as in [11],
[12], and [13]. In this work, we investigated the resource
allocation issue specifically for HWNs.
In this paper, we consider a hybrid network made up of
base stations (BS) that connects to relay stations (RS). A
mobile device may connect to either a BS or a RS (then to a
BS). The BS has a fixed amount of bandwidth that it can
provide to each RS, and each RS has a set amount of demands
based on the number and requirements of each of its mobile
nodes. When user bandwidth demand exceeds the available
bandwidth, the BS has to allocate its resources in an efficient,
fair, and profit maximizing manner. Although the resource
allocation problem has been well studied in traditional cellular
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