OTFS-MDMA: An Elastic Multi-Domain Resource Utilization Mechanism for High Mobility Scenarios

被引:0
作者
Chen, Jie [1 ]
Wang, Xianbin [1 ]
Hanzo, Lajos [2 ]
机构
[1] Western Univ, Dept Elect & Comp Engn, London, ON N6A 5B9, Canada
[2] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, England
基金
加拿大自然科学与工程研究理事会; 英国工程与自然科学研究理事会;
关键词
NOMA; Resource management; Multiaccess communication; Modulation; Doppler effect; Delays; Time-frequency analysis; Symbols; OFDM; Optimization; Orthogonal time frequency space (OTFS); multi-dimensional multiple access (MDMA); delay-Doppler; dynamic programming; monotonic optimization; MULTIPLE-ACCESS; MONOTONIC OPTIMIZATION; MASSIVE MIMO; ALLOCATION; REQUIREMENTS; PERFORMANCE; MODULATION; NETWORKS; SYSTEMS; VISION;
D O I
10.1109/JSAC.2025.3531568
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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, MA 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.
引用
收藏
页码:1405 / 1420
页数:16
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