arXiv subjects

Kwadwo Mensah Obeng Afrane

Publications and source records attributed to Kwadwo Mensah Obeng Afrane.

3 recordsLinked to original sources

arXiv2026

Resource allocation in Distributed ISAC Systems: A Location Sensitive Mode Selection and Task Assignment Framework

In this work we propose a region of interest (ROI)-aware mode selection and task assignment (RAMSTA) framework for distributed integrated sensing and communication (ISAC) systems. In realistic ISAC use-cases, the sensing performance requirement can be location dependent. Vehicular targets at a traffic intersection, unmanned aerial vehicle approaching a restricted airspace or a sparsely populated areas may require different levels of detection or localization accuracy. This warrants the design of location sensitive resource allocation to account for the varying sensing performance requirements. Thus, we design a sigmoid-based ROI proximity parameter to tune the communication-sensing trade-off in a weighted sum rate and position posterior Cramér-Rao lower bound minimization problem. The resulting mixed-integer non-linear program is solved by applying a penalized convex-concave procedure. We show that the ROI sensitivity thresholds allows the adaptive variation of the communication-sensing trade-off with respect to the predicted location of the target and relative to a predefined ROI.

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arXiv2026

Experimental Validation of SBFD ISAC in an FR3 Distributed SIMO Testbed

Integrated sensing and communication (ISAC) is a key enabler for future radio networks. This paper presents a sub-band full-duplex (SBFD) ISAC system that assigns non-overlapping OFDM subbands to sensing and communication, enabling simultaneous operation with minimal interference. A distributed testbed with three SIMO nodes is implemented using USRP X410 devices operating at 6.8 GHz with 20 MHz bandwidth per channel. A total of 2048 OFDM subcarriers are partitioned into three subbands: two for sensing using Zadoff-Chu sequences and one for communication using QPSK. Each USRP transmits one subband while receiving signals across all three, forming a 1 x 3 SIMO node. Time synchronization is achieved through host-server coordination without external clock distribution. Indoor measurements, validated against MOCAP ground truth, confirm the feasibility of the SBFD ISAC system. The results demonstrate monostatic sensing with a velocity resolution of 0.145 m/s, and communication under NLoS conditions with a BER of 3.63e-3. Compared with a multiband benchmark requiring three times more spectrum, the SBFD configuration achieves comparable velocity estimation accuracy while conserving resources. The sensing and communication performance trade-off is determined by subcarrier allocation strategy rather than mutual interference.

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arXiv2025

Performance Analysis of Sub-band Full-duplex Cell-free Massive MIMO JCAS Systems

In-band Full-duplex joint communication and sensing systems require self interference cancellation as well as decoupling of the mutual interference between UL communication signals and radar echoes. We present sub-band full-duplex as an alternative duplexing scheme to achieve simultaneous uplink communication and target parameter estimation in a cell-free massive MIMO system. Sub-band full-duplex allows uplink and downlink transmissions simultaneously on non-overlapping frequency resources via explicitly defined uplink and downlink sub-bands in each timeslot. Thus, we propose a sub-band full-duplex cell-free massive MIMO system with active downlink sensing on downlink sub-bands and uplink communication on uplink sub-band. In the proposed system, the target illumination signal is transmitted on the downlink (radar) sub-band whereas uplink users transmit on the uplink (communication) sub-band. By assuming efficient suppression of inter-sub-band interference between radar and communication sub-bands, uplink communication and radar signals can be efficiently processed without mutual interference. We show that each AP can estimate sensing parameters with high accuracy in SBFD cell-free massive MIMO JCAS systems.

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