OTFS-MDMA: An Elastic Multi-Domain Resource Utilization Mechanism for High Mobility Scenarios
By harnessing the delay-Doppler (DD) resource domain, orthogonal time-frequency space (OTFS) substantially improves the communication performance under high-mobility scenarios by maintaining quasi-time-invariant channel characteristics. However, conventional multiple access (MA) techniques fail to e...
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Main Authors | , , |
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Format | Journal Article |
Language | English |
Published |
09.09.2024
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Subjects | |
Online Access | Get full text |
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Summary: | By harnessing the delay-Doppler (DD) resource domain, orthogonal
time-frequency space (OTFS) substantially improves the communication
performance under high-mobility scenarios by maintaining quasi-time-invariant
channel characteristics. However, conventional multiple access (MA) techniques
fail to efficiently support OTFS in the face of diverse communication
requirements. Recently, multi-dimensional MA (MDMA) has emerged as a flexible
channel access technique by elastically exploiting multi-domain resources for
tailored service provision. Therefore, we conceive an elastic multi-domain
resource utilization mechanism for a novel multi-user OTFS-MDMA system by
leveraging user-specific channel characteristics across the DD, power, and
spatial resource domains. Specifically, we divide all DD resource bins into
separate subregions called DD resource slots (RSs), each of which supports a
fraction of users, thus reducing the multi-user interference. Then, the most
suitable MA, including orthogonal, non-orthogonal, or spatial division MA (OMA/
NOMA/ SDMA), will be selected with each RS based on the interference levels in
the power and spatial domains, thus enhancing the spectrum efficiency. Then, we
jointly optimize the user assignment, access scheme selection, and power
allocation in all DD RSs to maximize the weighted sum-rate subject to their
minimum rate and various practical constraints. Since this results in a
non-convex problem, we develop a dynamic programming and monotonic optimization
(DPMO) method to find the globally optimal solution in the special case of
disregarding rate constraints. Subsequently, we apply a low-complexity
algorithm to find sub-optimal solutions in general cases. |
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DOI: | 10.48550/arxiv.2409.05724 |