Green Inter-Cluster Interference Management in Uplink of Multi-Cell Processing Systems

• Published in: IEEE transactions on wireless communications Vol. 13; no. 12; pp. 6580 - 6592
• Main Authors: Katranaras, Efstathios, Imran, Muhammad Ali, Dianati, Mehrdad, Tafazolli, Rahim
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cellular networks; Cooperative communication; Covariance matrices; Green wireless communications; Information theory; Interference; Interference management; Land mobile radio cellular systems; Multi-Cell Processing; Power control; Uplink; User-side energy conservation; Wireless communication; multi-cell processing; information theory; green wireless communications; user-side energy conservation; Land mobile radio cellular systems; interference management
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2014.2363672

This paper examines the uplink of cellular systems employing base station cooperation for joint signal processing. We consider clustered cooperation and investigate effective techniques for managing inter-cluster interference to improve users' performance in terms of both spectral and energy efficiency. We use information theoretic analysis to establish general closed form expressions for the system achievable sum rate and the users' Bit-per-Joule capacity while adopting a realistic user device power consumption model. Two main inter-cluster interference management approaches are identified and studied, i.e., through: 1) spectrum re-use; and 2) users' power control. For the former case, we show that isolating clusters by orthogonal resource allocation is the best strategy. For the latter case, we introduce a mathematically tractable user power control scheme and observe that a green opportunistic transmission strategy can significantly reduce the adverse effects of inter-cluster interference while exploiting the benefits from cooperation. To compare the different approaches in the context of real-world systems and evaluate the effect of key design parameters on the users' energy-spectral efficiency relationship, we fit the analytical expressions into a practical macrocell scenario. Our results demonstrate that significant improvement in terms of both energy and spectral efficiency can be achieved by energy-aware interference management.