Adaptive resource allocation for D-TDD systems in wireless multimedia networks
Abstract (Summary)
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In accordance with the demand for robust and spectrally efficient communications
systems design for multimedia communication with heterogeneous traffic in fading
channels, various adaptive approaches have been developed, recently. This dissertation
examines how adaptive technologies can be used in real systems in order to bring reliable
and spectrally efficient connections between wireless communication links. It addresses
two different types of adaptation: (1) channel adaptation with adaptive modulation
/coding, adaptive antennas, and automatic repeat request (ARQ) schemes; (2) bandwidth
adaptation to the dynamic unbalanced network traffic with dynamic time division duplex
(D-TDD) scheme.
In order to make the vulnerable wireless channel reliable and spectrally efficient,
we adopt adaptive modulation/coding and ARQ schemes. We introduce an analytical
method, which uses a finite-state Markov chain (FSMC) as an error model, for estimating
the performance of adaptive modulation systems (AMS) combined with ARQ schemes in
correlated slow fading channels. For the purpose of the throughput performance
evaluation of wireless packet networks, fading channels have been assumed to have
independent and identically distributed (i.i.d) statistics. This assumption of channel
model may be suitable to represent fast fading channels. However, in slow fading
channels, error rates of consecutive packets are highly correlated, and we cannot simply
assume an independent error process for the purpose of performance evaluation. We
propose a multi-state Markov error model for AMS in correlated fading channels, which
is also described by a Finite-State Markov Chain (FSMC), and we present throughput
estimation methods for AMS combined with ARQ, using the proposed Markov error
model.
For multimedia services, network traffic becomes heterogeneous; the network
traffic is homogeneous for voice traffic only. It has been known that dynamic-TDD (D-
TDD) scheme utilizes the spectrum more efficiently, adjusting the ratio of uplink and
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downlink available timeslots adaptively according to the traffic pattern. However, having
different switching points in each cell causes severe co-channel interference between
base stations. We present a statistical assessment of co-channel interference of D-TDD
scheme when switched beam sector antennas are deployed at base stations, and we also
present a cooperative co-channel interference avoidance algorithm in TDMA/D-TDD
wireless cellular systems.
Finally, with these channel and bandwidth adaptations, we propose adaptive
resource allocation schemes considering joint parameters in the physical (PHY) layer and
the medium access control (MAC) layer. We consider cases without co-channel
interference and with co-channel interference, denoting as single and multi- cluster cases.
For the single cluster case, we first allocate bandwidths for uplink and downlink based on
the requested bandwidths for both links. Secondly, we allocate modulation format to each
call based on the estimated channel state; this procedure makes some more channels
available in the frame for the calls waiting in the queue. For the multi-cluster case, in
addition to resource allocation procedures for the single cluster case, we have to allocate
time slots to each call appropriately in a way of avoiding severe co-channel interference.
By simulation results, we show that more calls (or users) can be serviced in D-TDD
systems than fixed-TDD (FTDD) systems with (or without) adaptive modulation.
Bibliographical Information:
Advisor:
School:Pennsylvania State University
School Location:USA - Pennsylvania
Source Type:Master's Thesis
Keywords:
ISBN:
Date of Publication: