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Joint Power Control and Resource Allocation for Optimizing the D2D User Performance of Full-Duplex D2D Underlying
Yuetian Zhou1,2, Bowen Cai1,2, Xue Ding1
1Department of Mobile Communication and Terminal Technology, China Telecom Research Institute, Beijing 100032, China.
Full-duplex Device-to-Device (FD-D2D) communication enhances spectral efficiency in cellular networks. Proposed algorithms optimize power and spectrum allocation to improve FD-D2D performance and system spectral efficiency, overcoming interference challenges.
Area of Science:
- Wireless communication networks
- Signal processing
- Optimization theory
Background:
- Device-to-Device (D2D) communication offers enhanced spectral efficiency (SE) in cellular networks.
- Full-duplex (FD) technology has the potential to double SE by enabling simultaneous transmission and reception.
- Integrating FD into D2D (FD-D2D) underlaying cellular networks can further improve SE, but faces challenges from residual self-interference (RSI) and inter-user interference.
Purpose of the Study:
- To propose an FD-D2D system underlaying a cellular network where D2D users (DUs) share uplink and downlink resources with cellular users (CUs).
- To develop algorithms for enhancing DU performance and system SE by addressing optimization problems related to power control and spectral resource allocation.
- To improve the performance experience of DUs while simultaneously increasing the overall system SE.
Main Methods:
- Formulated a sum rate maximization problem for FD-DUs as a Mixed-Integer Nonlinear Programming (MINLP) problem, decomposed into power control (solved via 1D searching) and spectral resource allocation (solved using Kuhn-Munkres algorithm).
- Developed a second algorithm to maximize the minimum rate among FD-DUs, employing bisection searching and the Kuhn-Munkres algorithm for spectral resource allocation, with consistent power control.
- Addressed complex optimization challenges including NP-hard problems and nonlinear equations inherent in FD-D2D resource management.
Main Results:
- The proposed algorithms effectively enhance DU performance in FD-D2D underlaid cellular networks.
- Numerical results show superior performance compared to traditional sum rate maximization designs.
- The algorithms successfully manage RSI and spectrum sharing interference to improve user experience and SE.
Conclusions:
- The developed algorithms provide effective solutions for optimizing FD-D2D communication within cellular networks.
- The study demonstrates the feasibility and benefits of integrating FD-D2D with joint resource sharing.
- Future work could explore advanced interference mitigation techniques and dynamic resource allocation strategies.
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